There are many ways of making wigglegrams. The first method is to capture multiple horizontally displaced shots together at once. There were cameras designed for this in the 80s that had 4 lenses, with the widest about eye width apart; the intent was for them to be printed as lenticular 3d images. The second is to have a single shot and then synthetically create additional perspective, such as by using a depth map.
I have done both of these. For the first one[0], I used a Nimslo 3D and for the second one[1] I drew with pastels on paper, and then drew a depth map in Photoshop and used it to displace pixels horizontally for the novel perspectives.
The OP's "accidental" wigglegrams are mostly of the first variety but, the horizontal allignment is not locked in and the shots were taken not at the exact same time. That's why the parallax effect isn't as strong and they don't look as good as the first 3 images that came from Nimso/Nishika.
What is intresting is that both of these two methods are relevant in the age of modern iphone. Iphones capture multiple exposures together in live photos, so moving the iphone laterally when shooting creates a "boomerang" wigglegram. Iphones also capture depth map from the LiDAR sensor when shooting in portrait mode.
Between increased hardware capability and genai for synthesizing additional perspectives, we could be living in a golden age of wigglegrams. Alas, they are out of style.
There's an additional "post processing" step that the article doesn't mention -- which is alignment of the images within the wiggle.
In the example images (which others have noted are stable horizontally) - This alignment gives some control over the parallax and has a very big effect on the quality of the 3D and the ultimate experience of the image.
If you put your mouse, for example, over the marlboro pack that is most directly facing the camera, you'll see it is perfectly stable relative to the screen (despite looking like it's wiggling). In the second image, this point is at the eye of the singer.
On the accidental images, which are also mostly not stable horizontally, this type of alignment can also have a very big impact. An extreme example of how this plays out can be seen in this image - which for example -- locks onto the face
(NB - like 12 years ago I used to do make a lot of wiggle images -- including spending some time making wigglegrams out of a set of 3D images of the 1906 San Francisco Earthquake & Fire -- https://thesanfranciscowiggle.com/)
Found a guy on instagram who builds a custom stereoscopic camera with 4 identical pi cams spaced evenly (about 1 inch (2.54cm)) away from each other on a line. It creates wigglegrams
https://k4mera.world/
Cool concept, but implementation is bad. The exposures vary so much between the separate shots it's giving a stroboscopic effect. Hopefully they fix it in later revisions.
FYI: For "how-tos" like this I try to avoid "adult" content like smoking. (Even though the stuffie holding a joint and lighter is hilarious.)
This is the kind of content that young techies and artists gobble up, and it's not the kind of thing I would want in content shared with children or teenagers.
I’ll shill a library I wrote to make wigglegrams & stereograms in matplotlib - I think pseudo-3D visualization is super underrated as a technique to understand data!
mpl_stereo: https://github.com/scottshambaugh/mpl_stereo
i find it so easy to "switch" to 3D with pairs of images like this, it strikes me as strange that cheap stereo-3D isn't a standard interface element.
Other than getting used to making the switch, I don't think there is any cognitive load. Just pairing normal lens focus with a different triangulation distance, which is something we quickly learn to do without thinking when using any glasses or lenses.
I find it a lot more calming than Wiggle-D. And paired with some simple head/eye tracking via laptop cams, it could be really versatile.
The animated plots are great. Be great to have a trackpad rotatable version. (And the need/benefit for head tracking gets really obvious when I move. The perception of reverse/non-sensical dynamics is strong.)
That was fun, and the script on github looks hand-written which is refreshing after having been reading AI-written code for months.
I have 120k photos in iCloud that I'm sure have duplicates (I exported my library to Google Photos years ago and exported it back to iCloud). The iOS duplicate detection stopped flagging duplicates for me to merge a while back. I gotta do something like this script...
yeah there's something you can still feel in hand-written code - the variable names show how someone was actually thinking about the problem. AI code is grammatically perfect but quite hollow
If you're really wanting to do perceptual hash based deduplication, use multiple, heterogeneous hash algorithms (phash, dct hash, mean hash, ...) as it is likely that a given hash algo will happily lossily match with very very different images--but if all hashes match, you're much less likely to have false positives.
The first ones shown are quite neat and pleasant. The "accidental" ones pretty quickly gave me motion sickness as I scrolled through them. They also weren't nearly as interesting, though I couldn't look at them for very long.
Interestingly, the pixelization/noise effect is applied clientside, so if you open an image in a new tab, you can see the original. Originals look much better, in my opinion.
I agree. The first three from reddit work really well for me. I assume it's because of the fixed horizontal movement, and the fact that they are captured at the same moment from different angles. :)
The others are nice (but hectic) animations to me.
The ones they generated weren't taken specifically to be wigglegrams so they don't work as well as intentional ones. The biggest problem is number of photos and the consistency of the direction of movement between each image and the next as well as consistent step sizes. They also tend to work better with horizontal movement compared to vertical probably due to it matching our eye layout but that's a guess.
Same. I have amblyopia and I'm really appreciating the effect. I think people's brain with "only one" eye rely a lot more onto perceptive and parallax effect for 3D perception.
If I'm not mistaken this blog is from a person I had the pleasure of working with in undergrad for a course project. They were brilliant then and are still now.
On my Pixel phone I always leave enable the "Top Shot" setting, it saves a short low resolution video clip in the XMP/RDF metadata of the JPEG file. It saves motions that are not visible on a still image adding valuable information. iPhones and Samsungs have similar settings.
Live Photos are what iPhones call it and I love them. I made an app to turn them into GIFs, I often make wigglegram GIFs out of them. "Giffer" on the App Store[0] if any readers are interested.
Does anyone know what is the technique they use in some of the documentaries where they use really old photos, but they make them look like this wiggle gram? I know it's not AI because the photos can be decades old, but they still do some stuff which that makes them almost see like 3D.
I think that's a more manual process. An older version would involve cutting out the different layers of foreground and background and animating the movement with a bit of fill to add areas where there wasn't information in the original photo. Now I think there are some AI tools that can 'animate' old photos but they look more like movies with the look of the original photo over them vs the thing I think you're referencing.
I've noticed that GIFS with several frames in them tend to be quite large files. I like that these use dithering, which can reduce the file size. Ideally it would be not larger than 2-3 lightweight photos juxtaposed together, and less than 300KB. I also wish there was a pause button on them because sometimes reading articles on the web with them persistent can get tedious. I suppose disabling images can mediate that, or copying the text to another document.
"In Web Browsers (Chrome, Edge, Firefox): Install browser extensions like GIF Scrubber on Chrome or GIF Blocker on Firefox, which add playback controls to any web page.
On iPhone/iPad: Go to Settings > Accessibility > Motion, and turn off Animated Images to pause all GIFs in Safari.
On Mac: Go to System Settings > Accessibility > Display, and toggle off Animated Images.
In PowerPoint: Press the 1 key on your keyboard during a presentation to pause the GIF."
"Yes, but not natively just by using a standard <img> tag in web browsers. Because native APNGs play continuously like a traditional GIF, you need to use one of the following methods to pause them: [1, 2, 3, 4]
1. The Canvas Method (Best for Web Controls)
To add play/pause functionality, you cannot use an <img> tag. Instead, you need to render the APNG onto an HTML <canvas> element and control it using a JavaScript library like apng-js. This provides precise, video-like control over the frames. [1, 2, 3, 4]
2. The Cover Method (Simplest Fallback)
If you just want to freeze an APNG on its first frame, you can layer a static .png of the first frame directly over the APNG. When you uncover or hide the static image, the underlying APNG will be revealed and play as normal. [1]
3. Use CSS Animation Alternatives [1]
If you are designing the animation yourself, an alternative is to build it as a single static image (a filmstrip of all frames side-by-side) and animate it using CSS background-position. This allows you to pause the image natively using the CSS animation-play-state property. [1, 2, 3]"
for gifs? it seems an image format would be more backward compatible with older devices. Edit: by image format, i meant lightweight animation without a video codec.
The sites like tenor/giphy/klipy all convert to multiple media formats and then have meta embed properties with multiple formats.
Sites/apps like Discord sometimes consume the mp4 instead of gif or webp when embedding (and in Discord's case they're not hotlinking, I believe they're running it through their own media proxy service).
hi initramfs, i responded to robottoaster who referenced patent encumbered mp4, as alternatives there are vp9 and av1.
image formats are more backward compatible, but at some point one has to ask, how low do you want to go? vp9 plays on iphones from 2020 and android phones from 2010. I think animated avif files are basically av1 video files, like animated webp is vp8/9 video.
Animated gif is playable anywhere, but 10x bigger. For a wiggle blog or website I'd provide animated png alongside anaglyph, or anaglyph only.
There is also animated Jpeg XL *.jxl files for the bleeding edge. It's a pure image format but support is not there yet.
Thanks for the response and I agree there are benefits to newer formats. I actually do prefer newer codecs when I am using a newer system, such as AV1 (I actually wrote a blog post on that yesterday https://inavoyage.blogspot.com/2026/06/720p-on-384kbps-how-h...), and recall avif, but forgot about it.
I think .avif sounds preferrable since it is single frames able to play animations using the same library as av01. I am curious how much CPU usage it needs for a just a few frames. A Pentium 1 might not be able to play it easily, but I imagine a dual core Intel E6400 wouldn't have much of an issue, even if it is 20 years old.
Yeah, basically the only reason I suggested older support was because it was just a couple frames (maybe 5 tops), as opposed to something that uses hundreds or thousands of frames.
The Nintendo 3DS has two cameras on the back, so you can turn its 3D photos into wigglegrams. I made a web app that does this automatically, it has a few demos where you can mess with offset or timing: https://wiggle3ds.moonlemon.nexus/
It's neat how the offset affects focal point. To my eye they look best when the main object is kept fairly stationary, and the further away you are the faster the wiggle speed should be.
Could these use some frame interpolation and smoothing to make them less jerky? Or would that make them just a video clip then?
The first couple of examples were good but later examples were not so impressive. I think the later examples suffered from having too little of perspective change between frames and too much of subject movement -- which defeats the illusion of 3d from a "static" image.
Ideal one would have a left-to-right pan betweem the two clicks ..roughly matching the perspective shift between left eye and right eye ..while the subject stays static.
The better wigglegrams were taken at basically the same moment and with cameras set a static distance apart along a single (usually) horizontal line. Those flow a lot more cleanly than the accidental ones where the camera moved an inconsistent amount and not along a single line so they're a lot jumpier and it interrupts the parallax effect that makes wigglegrams work.
I also noticed on the wikipedia gallery theres an example that repeats frames for smoothness! 1-2-3-4-3-2 makes it naturally smooth if you have more than two frames.
I have often wondered how the effect was created where e.g. in a documentary you see historic black and white photographs slowly 'camera panning' or zooming somewhat from left to right with a perspective shift. Is that also created as a wigglegram on the basis of multiple photographs I wonder, at times where taking a single photograph was an involved process?
They have to take a source photo, decompose it into "layers" (lots of Photoshop I imagine) and then they can parallax the various layers for that depth effect.
I often take a very short video, under 5s, rather than a picture. Even 1-2 seconds captures dimension and sound in a different way than a still picture. I’ve had people say it’s strange but they work well for me.
Live photos on iOS are exactly that, by default, each time you take a picture, it embeds the 3 seconds before the shot and the 3 seconds after the shot as video with sound.
It looks like a useless feature on the moment because what you want is the nice framing you are trying to capture, but it happens to become an incredible feature years later when a long press on your photo makes your then baby smile and laugh.
It's a best of both world implementation because unlike just capturing a video, you still get your high quality, stabilized and sharp picture of the picture you capture PLUS the video.
I enjoy photos taken while people are speaking with the camera fixed. You can get some really unintentionally funny flips between facial expressions. Kinda like wigglegrams, I suppose.
If you have an iPhone, it does this automatically (provided you don't disable Live Photos). Quite fun to review all the random stereoscopy you have inadvertently created by having an unsteady grip on the camera...
Images at the top of the page are created using a Nimslo/Nishika camera [1] it's a 35mm 4 lens camera that takes all 4 shots at once so you get that satisfying rotating depth look at them.
It's really a completely different effect to just stitching a few different photos together.
I had a look at the top submissions on the /r/wigglegrams subreddit [0]. It seems that some (including some of those featured in the article) are the more prototypical stereoscopic wigglegram, whereas others are more a stylistic effect.
It's tech from the 80s. Look up the Nishika N8000 and Nimslo 3D.
Basically it's multiple lenses next to each other, each capturing a small slice on the 35mm film. Every lens has it's own shutter, which is triggered at exactly the same time.
This wasn't too involved and quite cheap to implement with analog tech in the 80s/90s, but if you want to do the same thing with digital there's quite a bit more to consider. Here's a cool video of someone building a digital stereo camera: https://www.youtube.com/watch?v=_aofxbH0elo
The hard part with digital boils down to: Cheap camera modules are hard to calibrate to the same parameters and sometimes impossible to set focus, so pictures look the same. And taking pictures takes quite a bit of processing power, so if you want to take 4 pictures at once it gets a bit tricky with just a cheap raspberry or similar.
There is also the Fujifilm FinePix REAL 3D which is a 2 lens digital version of the idea. But yeah I do think the analogue grain is doing some heavy lifting on the aesthetic side of the Nishika/Nimslo images.
Ah, might have to try that. I've been getting adverts for "proper" versions of these (eg the Dispo Parallax) but no-one seems to sells them in a M4/3 mount (and I'm not keen on using adapters.)
To add to the other comments if you have the idea to use multiple camera to make the same effect but at a higher quality (and if you somehow sort how the synchronisation problem), then congrats ! You have invented bullet time, as demonstrated 27 years ago* in the Matrix.
Well, pedantically, demonstrated 148 years ago by Muybridge[0]
[0] "In 1878–1879, Muybridge made dozens of studies of foreshortenings of horses and athletes with five cameras capturing the same moment from different positions." via https://en.wikipedia.org/wiki/Bullet_time
My constraint was a tongue-and-cheek "use as little technology as possible" (like what was available in 1999). I think nowaydays it's still more economical to do one pass of photogrammetry on your talent then do a mocap and actor replacement ?
I believe there have been camera specifically designed for this, where they have multiple horizontally spaced lenses that all take a picture at the same time, or literally just holding several cameras right next to each other and triggering them all at once
I have ADHD and normally excessive movement on my monitor disturbs me, but this didn't bring even a little discomfort. I didn't get addicted to them as well.
There are many ways of making wigglegrams. The first method is to capture multiple horizontally displaced shots together at once. There were cameras designed for this in the 80s that had 4 lenses, with the widest about eye width apart; the intent was for them to be printed as lenticular 3d images. The second is to have a single shot and then synthetically create additional perspective, such as by using a depth map.
I have done both of these. For the first one[0], I used a Nimslo 3D and for the second one[1] I drew with pastels on paper, and then drew a depth map in Photoshop and used it to displace pixels horizontally for the novel perspectives.
The OP's "accidental" wigglegrams are mostly of the first variety but, the horizontal allignment is not locked in and the shots were taken not at the exact same time. That's why the parallax effect isn't as strong and they don't look as good as the first 3 images that came from Nimso/Nishika.
What is intresting is that both of these two methods are relevant in the age of modern iphone. Iphones capture multiple exposures together in live photos, so moving the iphone laterally when shooting creates a "boomerang" wigglegram. Iphones also capture depth map from the LiDAR sensor when shooting in portrait mode.
Between increased hardware capability and genai for synthesizing additional perspectives, we could be living in a golden age of wigglegrams. Alas, they are out of style.
[0] https://fooladder.com/post/115435676962/at-the-concert [1] https://fooladder.com/post/61216111704/starry-venice
There's an additional "post processing" step that the article doesn't mention -- which is alignment of the images within the wiggle.
In the example images (which others have noted are stable horizontally) - This alignment gives some control over the parallax and has a very big effect on the quality of the 3D and the ultimate experience of the image.
If you put your mouse, for example, over the marlboro pack that is most directly facing the camera, you'll see it is perfectly stable relative to the screen (despite looking like it's wiggling). In the second image, this point is at the eye of the singer.
On the accidental images, which are also mostly not stable horizontally, this type of alignment can also have a very big impact. An extreme example of how this plays out can be seen in this image - which for example -- locks onto the face
https://strickgifs.tumblr.com/post/48624241536
(NB - like 12 years ago I used to do make a lot of wiggle images -- including spending some time making wigglegrams out of a set of 3D images of the 1906 San Francisco Earthquake & Fire -- https://thesanfranciscowiggle.com/)
Found a guy on instagram who builds a custom stereoscopic camera with 4 identical pi cams spaced evenly (about 1 inch (2.54cm)) away from each other on a line. It creates wigglegrams https://k4mera.world/
Cool concept, but implementation is bad. The exposures vary so much between the separate shots it's giving a stroboscopic effect. Hopefully they fix it in later revisions.
FYI: For "how-tos" like this I try to avoid "adult" content like smoking. (Even though the stuffie holding a joint and lighter is hilarious.)
This is the kind of content that young techies and artists gobble up, and it's not the kind of thing I would want in content shared with children or teenagers.
I’ll shill a library I wrote to make wigglegrams & stereograms in matplotlib - I think pseudo-3D visualization is super underrated as a technique to understand data! mpl_stereo: https://github.com/scottshambaugh/mpl_stereo
That's cool. They work well. (I prefer the stereograms, but you need extra equipment to view those. I keep a stereo lens pair near my laptop though.)
If you pick up a digital stereo camera that creates .MPO files, I wrote a small app to create stereograms: https://github.com/EngineersNeedArt/Stereographer
i find it so easy to "switch" to 3D with pairs of images like this, it strikes me as strange that cheap stereo-3D isn't a standard interface element.
Other than getting used to making the switch, I don't think there is any cognitive load. Just pairing normal lens focus with a different triangulation distance, which is something we quickly learn to do without thinking when using any glasses or lenses.
I find it a lot more calming than Wiggle-D. And paired with some simple head/eye tracking via laptop cams, it could be really versatile.
The animated plots are great. Be great to have a trackpad rotatable version. (And the need/benefit for head tracking gets really obvious when I move. The perception of reverse/non-sensical dynamics is strong.)
Many people can’t, there is significant variation in how people’s visual systems work. I myself can’t anymore after my eyesight got worse.
That was fun, and the script on github looks hand-written which is refreshing after having been reading AI-written code for months.
I have 120k photos in iCloud that I'm sure have duplicates (I exported my library to Google Photos years ago and exported it back to iCloud). The iOS duplicate detection stopped flagging duplicates for me to merge a while back. I gotta do something like this script...
yeah there's something you can still feel in hand-written code - the variable names show how someone was actually thinking about the problem. AI code is grammatically perfect but quite hollow
If you're really wanting to do perceptual hash based deduplication, use multiple, heterogeneous hash algorithms (phash, dct hash, mean hash, ...) as it is likely that a given hash algo will happily lossily match with very very different images--but if all hashes match, you're much less likely to have false positives.
I wrote up what I do here: https://photostructure.com/guide/what-do-you-mean-by-dedupli...
Ah yes, artisanal code!
> and the script on github looks hand-written which is refreshing after having been reading AI-written code for months.
We really need a short for "is it AI or not? has entered the discussion".
The first ones shown are quite neat and pleasant. The "accidental" ones pretty quickly gave me motion sickness as I scrolled through them. They also weren't nearly as interesting, though I couldn't look at them for very long.
The intentional ones tend to move along a horizontal plane, and in fairly uniform (or specifically-graded) steps.
The unintentional ones deviate on both bases, creating a more chaotic result.
("Creating chaos" being an interesting notion itself....)
Yeah, I'm not prone to motion sickness, but that wigglegram with the iPad gave it to me instantly.
Interestingly, the pixelization/noise effect is applied clientside, so if you open an image in a new tab, you can see the original. Originals look much better, in my opinion.
Whew... the continuous motion started triggering migraine symptoms until I closed the window.
But it does have a nice 3d effect. For me, the cycle speed seems excessive. I believe someone suggested tying wiggle effect to mouse movement?
I still feel a bit dizzy a minute after closing the page.
Somehow the extra motion seems to reduce the illusion of depth, it just seems like a disjointed animation to me.
I agree. The first three from reddit work really well for me. I assume it's because of the fixed horizontal movement, and the fact that they are captured at the same moment from different angles. :)
The others are nice (but hectic) animations to me.
The ones from Reddit also have more frames, I'm guessing they were taken on on a Nishika 3-D camera.
Yeah, the first three work for me too. (just realized my original comment was kind of ambiguous)
The ones they generated weren't taken specifically to be wigglegrams so they don't work as well as intentional ones. The biggest problem is number of photos and the consistency of the direction of movement between each image and the next as well as consistent step sizes. They also tend to work better with horizontal movement compared to vertical probably due to it matching our eye layout but that's a guess.
Intresting, I have a weak eye so rely less on stereo; these pop as much more 3d then a photo.
Same. I have amblyopia and I'm really appreciating the effect. I think people's brain with "only one" eye rely a lot more onto perceptive and parallax effect for 3D perception.
If I'm not mistaken this blog is from a person I had the pleasure of working with in undergrad for a course project. They were brilliant then and are still now.
> So I wrote a little script to hash all my pictures:
Would be nice to have the script, or at least the choice of perceptual hashing algorithm.
Script is linked at the end:https://github.com/JCLemme/wiggle-wiggle
And the hashing library used: https://pypi.org/project/ImageHash/
Scroll down.... https://github.com/JCLemme/wiggle-wiggle
On my Pixel phone I always leave enable the "Top Shot" setting, it saves a short low resolution video clip in the XMP/RDF metadata of the JPEG file. It saves motions that are not visible on a still image adding valuable information. iPhones and Samsungs have similar settings.
Live Photos are what iPhones call it and I love them. I made an app to turn them into GIFs, I often make wigglegram GIFs out of them. "Giffer" on the App Store[0] if any readers are interested.
[0] https://apps.apple.com/ca/app/giffer/id6767937960
I had it on, but it makes each photo 10-12 MB though. Now its on Auto, which isn't ideal either.
This is what happens when you let the frontend team name things
Meanwhile non-frontend folks decide to call one thing "threads" and another thing "strings" and have them be completely unrelated to each other.
Does anyone know what is the technique they use in some of the documentaries where they use really old photos, but they make them look like this wiggle gram? I know it's not AI because the photos can be decades old, but they still do some stuff which that makes them almost see like 3D.
I think that's a more manual process. An older version would involve cutting out the different layers of foreground and background and animating the movement with a bit of fill to add areas where there wasn't information in the original photo. Now I think there are some AI tools that can 'animate' old photos but they look more like movies with the look of the original photo over them vs the thing I think you're referencing.
The website is really nicely designed, and the dithering on the images is quite beautiful.
I've noticed that GIFS with several frames in them tend to be quite large files. I like that these use dithering, which can reduce the file size. Ideally it would be not larger than 2-3 lightweight photos juxtaposed together, and less than 300KB. I also wish there was a pause button on them because sometimes reading articles on the web with them persistent can get tedious. I suppose disabling images can mediate that, or copying the text to another document.
"In Web Browsers (Chrome, Edge, Firefox): Install browser extensions like GIF Scrubber on Chrome or GIF Blocker on Firefox, which add playback controls to any web page.
On iPhone/iPad: Go to Settings > Accessibility > Motion, and turn off Animated Images to pause all GIFs in Safari.
On Mac: Go to System Settings > Accessibility > Display, and toggle off Animated Images.
In PowerPoint: Press the 1 key on your keyboard during a presentation to pause the GIF."
There's been a move towards using MP4 files instead of GIFs because the filesize is smaller, despite MP4 being patent encumbered.
I found APNG suffer the same issue, but there may be some workarounds:
https://share.google/aimode/X1Q5rp3z2tEbtDSPf
"Yes, but not natively just by using a standard <img> tag in web browsers. Because native APNGs play continuously like a traditional GIF, you need to use one of the following methods to pause them: [1, 2, 3, 4]
1. The Canvas Method (Best for Web Controls) To add play/pause functionality, you cannot use an <img> tag. Instead, you need to render the APNG onto an HTML <canvas> element and control it using a JavaScript library like apng-js. This provides precise, video-like control over the frames. [1, 2, 3, 4]
2. The Cover Method (Simplest Fallback) If you just want to freeze an APNG on its first frame, you can layer a static .png of the first frame directly over the APNG. When you uncover or hide the static image, the underlying APNG will be revealed and play as normal. [1]
3. Use CSS Animation Alternatives [1] If you are designing the animation yourself, an alternative is to build it as a single static image (a filmstrip of all frames side-by-side) and animate it using CSS background-position. This allows you to pause the image natively using the CSS animation-play-state property. [1, 2, 3]"
there are vp9 and av1 as well
for gifs? it seems an image format would be more backward compatible with older devices. Edit: by image format, i meant lightweight animation without a video codec.
The sites like tenor/giphy/klipy all convert to multiple media formats and then have meta embed properties with multiple formats.
Sites/apps like Discord sometimes consume the mp4 instead of gif or webp when embedding (and in Discord's case they're not hotlinking, I believe they're running it through their own media proxy service).
For example, <https://klipy.com/gifs/begone-witch> turns into <video> (with ARIA GIF label!) and src <https://images-ext-1.discordapp.net/external/kQT1eR3Sa6g3mZ_...>
7.1 MB gif => 679 KB mp4
hi initramfs, i responded to robottoaster who referenced patent encumbered mp4, as alternatives there are vp9 and av1.
image formats are more backward compatible, but at some point one has to ask, how low do you want to go? vp9 plays on iphones from 2020 and android phones from 2010. I think animated avif files are basically av1 video files, like animated webp is vp8/9 video.
Animated gif is playable anywhere, but 10x bigger. For a wiggle blog or website I'd provide animated png alongside anaglyph, or anaglyph only.
There is also animated Jpeg XL *.jxl files for the bleeding edge. It's a pure image format but support is not there yet.
hi fseifken,
Thanks for the response and I agree there are benefits to newer formats. I actually do prefer newer codecs when I am using a newer system, such as AV1 (I actually wrote a blog post on that yesterday https://inavoyage.blogspot.com/2026/06/720p-on-384kbps-how-h...), and recall avif, but forgot about it.
I think .avif sounds preferrable since it is single frames able to play animations using the same library as av01. I am curious how much CPU usage it needs for a just a few frames. A Pentium 1 might not be able to play it easily, but I imagine a dual core Intel E6400 wouldn't have much of an issue, even if it is 20 years old.
Yeah, basically the only reason I suggested older support was because it was just a couple frames (maybe 5 tops), as opposed to something that uses hundreds or thousands of frames.
The Nintendo 3DS has two cameras on the back, so you can turn its 3D photos into wigglegrams. I made a web app that does this automatically, it has a few demos where you can mess with offset or timing: https://wiggle3ds.moonlemon.nexus/
It's neat how the offset affects focal point. To my eye they look best when the main object is kept fairly stationary, and the further away you are the faster the wiggle speed should be.
I made these in 2007 https://trondal.com/oygardstjonn
Could these use some frame interpolation and smoothing to make them less jerky? Or would that make them just a video clip then?
The first couple of examples were good but later examples were not so impressive. I think the later examples suffered from having too little of perspective change between frames and too much of subject movement -- which defeats the illusion of 3d from a "static" image.
Ideal one would have a left-to-right pan betweem the two clicks ..roughly matching the perspective shift between left eye and right eye ..while the subject stays static.
The better wigglegrams were taken at basically the same moment and with cameras set a static distance apart along a single (usually) horizontal line. Those flow a lot more cleanly than the accidental ones where the camera moved an inconsistent amount and not along a single line so they're a lot jumpier and it interrupts the parallax effect that makes wigglegrams work.
I also noticed on the wikipedia gallery theres an example that repeats frames for smoothness! 1-2-3-4-3-2 makes it naturally smooth if you have more than two frames.
Yes, the author notes as much: ‘many of them come out as less "stereoscopic" and more "kinescopic" - like little unintentional movies.’
Ah sorry ..i just scrolled though the pics and didnt read the post in full. Thanks.
Have to bring back split depth GIFs a decade later too?
Just works with depth hinting no actual stereo information.
https://news.ycombinator.com/item?id=48630210
Better link: https://old.reddit.com/r/SplitDepthGIFS/top/?sort=top&t=all
(The original defaulted to “past 24 hours” for me, which didn’t show anything.)
I have often wondered how the effect was created where e.g. in a documentary you see historic black and white photographs slowly 'camera panning' or zooming somewhat from left to right with a perspective shift. Is that also created as a wigglegram on the basis of multiple photographs I wonder, at times where taking a single photograph was an involved process?
They have to take a source photo, decompose it into "layers" (lots of Photoshop I imagine) and then they can parallax the various layers for that depth effect.
One great use of AI/ML is that splitting photos into layers these days is infinitely easier than it used to be.
Could these things be turned interactive? Like a parallax effect when you move your mouse?
I often take a very short video, under 5s, rather than a picture. Even 1-2 seconds captures dimension and sound in a different way than a still picture. I’ve had people say it’s strange but they work well for me.
Live photos on iOS are exactly that, by default, each time you take a picture, it embeds the 3 seconds before the shot and the 3 seconds after the shot as video with sound.
It looks like a useless feature on the moment because what you want is the nice framing you are trying to capture, but it happens to become an incredible feature years later when a long press on your photo makes your then baby smile and laugh.
It's a best of both world implementation because unlike just capturing a video, you still get your high quality, stabilized and sharp picture of the picture you capture PLUS the video.
Not that strange I guess, given how iOS does that automatically for all taken pictures.
The same effect is used in a Dan Deacon video.
https://www.youtube.com/watch?v=idteXQcGKlg
Haha that's excellent. Super fitting effect to go with his music
This would make a nice add-on for Digikam, which already does perceptual image hashing.
I read that they used artisanal code(!) - did they write a new image hashing algo, or use an established one?
I will just take a video recording instead of several images in quick succession.
I enjoy photos taken while people are speaking with the camera fixed. You can get some really unintentionally funny flips between facial expressions. Kinda like wigglegrams, I suppose.
(Yes, I find silly and immature stuff amusing.)
Doubles as a motion sickness test :)
Includes repo for finding pictures taken from slightly different perspectives in a photo archive, and making wigglegrams from them.
Maybe show them side by side for crosseyed stereo viewing.
If you have an iPhone, it does this automatically (provided you don't disable Live Photos). Quite fun to review all the random stereoscopy you have inadvertently created by having an unsteady grip on the camera...
There's something really beautiful about this. The moments of your life can dance.
Good idea, but the discovered image sequences are very different from the deliberately created examples at the top of the page.
Images at the top of the page are created using a Nimslo/Nishika camera [1] it's a 35mm 4 lens camera that takes all 4 shots at once so you get that satisfying rotating depth look at them.
It's really a completely different effect to just stitching a few different photos together.
[1] https://fstoppers.com/film/worst-camera-ive-ever-loved-nishi...
I had a look at the top submissions on the /r/wigglegrams subreddit [0]. It seems that some (including some of those featured in the article) are the more prototypical stereoscopic wigglegram, whereas others are more a stylistic effect.
[0]: https://www.reddit.com/r/wigglegrams/top/?screen_view_count=...
This title no verb
Yeah, that irked me a bit but maybe it was intentional?
It's an old meme
https://knowyourmeme.com/memes/i-accidentally
That link should have an epilepsy warning.
Contrary to popular belief, only a minority of people with epilepsy are sensitive to flashes of light.
If you're using an iPhone, couldn't you automate this by extracting "Live images" which are kind of "mini-videos" around the photo you took?
How is the first one done? It seems like the cartons would fall faster than you could manually capture 2-3 images?
(super cool all around, thanks for sharing)
It's tech from the 80s. Look up the Nishika N8000 and Nimslo 3D.
Basically it's multiple lenses next to each other, each capturing a small slice on the 35mm film. Every lens has it's own shutter, which is triggered at exactly the same time.
This wasn't too involved and quite cheap to implement with analog tech in the 80s/90s, but if you want to do the same thing with digital there's quite a bit more to consider. Here's a cool video of someone building a digital stereo camera: https://www.youtube.com/watch?v=_aofxbH0elo
The hard part with digital boils down to: Cheap camera modules are hard to calibrate to the same parameters and sometimes impossible to set focus, so pictures look the same. And taking pictures takes quite a bit of processing power, so if you want to take 4 pictures at once it gets a bit tricky with just a cheap raspberry or similar.
There is also the Fujifilm FinePix REAL 3D which is a 2 lens digital version of the idea. But yeah I do think the analogue grain is doing some heavy lifting on the aesthetic side of the Nishika/Nimslo images.
https://github.com/jyjblrd/wigglegramLens
This is one option, trading ease of use and low cost for lower picture quality and less light.
Ah, might have to try that. I've been getting adverts for "proper" versions of these (eg the Dispo Parallax) but no-one seems to sells them in a M4/3 mount (and I'm not keen on using adapters.)
To add to the other comments if you have the idea to use multiple camera to make the same effect but at a higher quality (and if you somehow sort how the synchronisation problem), then congrats ! You have invented bullet time, as demonstrated 27 years ago* in the Matrix.
*ouch, I feel old
Well, pedantically, demonstrated 148 years ago by Muybridge[0]
[0] "In 1878–1879, Muybridge made dozens of studies of foreshortenings of horses and athletes with five cameras capturing the same moment from different positions." via https://en.wikipedia.org/wiki/Bullet_time
My pedant self stands corrected. I wonder if some crazy people made a reverse praxinoscope now.
>if you somehow sort how the synchronisation problem
These days you can just capture video and make a 4d Gaussian splat
My constraint was a tongue-and-cheek "use as little technology as possible" (like what was available in 1999). I think nowaydays it's still more economical to do one pass of photogrammetry on your talent then do a mocap and actor replacement ?
> ouch, I feel old
Inside of every old man, is a young man, going ”What the hell just happened?”.
I believe there have been camera specifically designed for this, where they have multiple horizontally spaced lenses that all take a picture at the same time, or literally just holding several cameras right next to each other and triggering them all at once
I assume more than a single camera or a moving camera with a very high shutter speed with fixed focus.
really cool. I imagine this will land as a filter on insta soon :D
I think the title is missing a verb ...
It's a meme.
I think I accidentally a verb.
Awesome
I imagine those to be like crack cocaine for people with ADHD, but I just feel like I'm being zapped watching them.
I have ADHD and normally excessive movement on my monitor disturbs me, but this didn't bring even a little discomfort. I didn't get addicted to them as well.
I am diagnosed with ADHD and the amount of jumping movement in these is torturous.
It did nothing for me