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LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping

studios.disneyresearch.com

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Re: LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping

#13
post #4

Disney invited me to talk about my GenAI startup and research in front of a bunch of their execs across ABC, ESPN, Pixar, Streaming, etc. All of their folks were super nice and gracious to our small startup except for one. Steve May basically scoffed at how little my small team could accomplish. Mind you we were using mocapped skeletal animation and object animation curves to fully steer video diffusion over a year a…

[deleted]

Re: LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping

#17
post #4

Disney invited me to talk about my GenAI startup and research in front of a bunch of their execs across ABC, ESPN, Pixar, Streaming, etc. All of their folks were super nice and gracious to our small startup except for one. Steve May basically scoffed at how little my small team could accomplish. Mind you we were using mocapped skeletal animation and object animation curves to fully steer video diffusion over a year a…

Sounds like the guy felt threatened by your business and insecure about his.

Re: LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping

#19
post #3

I love how many optical illusions have been revisited with new generative techniques

Are there other examples? Definitely curious to see more.

Visual anagrams popped up last year using similar, though simpler methods to those in the posted. Flips, internal rotations, rearrangements, color negatives etc. [0]

Diffusion illusions did something similar at about the same time but with puzzles and multi-image color layer mixing. Some of the double puzzles they made are a lot of fun. They have great explainer videos [1] on that site including with Steve Mould.

Also there are diffusion double/hidden images using qrmonster, illusion diffusion, control net, or img2img that have been making the rounds. [2] for a random example. These work by using a fine-tuned diffusion model[3] to take an image and use it as a structuring element at various levels of following to a generated image. To see these illusions, squint or move the screen away. These are quite a bit more popular and easy to make than the other methods so many more examples show up around the internet.

[0] https://dangeng.github.io/visual_anagrams/

[1] https://diffusionillusions.com/

[2] https://www.reddit.com/r/StableDiffusion/s/nm9QMV6roD

[3] or a base model in the case of img2img

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