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Found 4 papers, 1 papers with code
Factorized Diffusion: Perceptual Illusions by Noise Decomposition
And we explore a decomposition by a motion blur kernel, which produces images that change appearance under motion blurring.
Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models
During the reverse diffusion process, we estimate the noise from different views of a noisy image, and then combine these noise estimates together and denoise the image.
On the Robustness of Normalizing Flows for Inverse Problems in Imaging
Most normalizing flows for inverse problems in imaging employ the conditional affine coupling layer that can generate diverse images quickly.
Probabilistic Implicit Scene Completion
We also demonstrate that our approach outperforms deterministic models even in less ambiguous cases with a small amount of missing data, which infers that probabilistic formulation is crucial for high-quality geometry completion on input scans exhibiting any levels of completeness.
