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Found 3 papers, 1 papers with code
Diffusion Illusions: Hiding Images in Plain Sight
We explore the problem of computationally generating special `prime' images that produce optical illusions when physically arranged and viewed in a certain way.
Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors
In this work, we explore how an off-the-shelf text-to-image diffusion model, trained without exposure to localization information, can ground various semantic phrases without segmentation-specific re-training.
Neural Neural Textures Make Sim2Real Consistent
Unpaired image translation algorithms can be used for sim2real tasks, but many fail to generate temporally consistent results.
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