StochSync generates images on arbitrary surfaces such as spheres and meshes by alternating non-overlapping denoised views, maximum stochasticity, and multi-step clean-image prediction from a pretrained diffusion model.
Under these assumptions, the reformulation of a one-step denoising process from the perspective of x0|t yields the following
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StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces
StochSync generates images on arbitrary surfaces such as spheres and meshes by alternating non-overlapping denoised views, maximum stochasticity, and multi-step clean-image prediction from a pretrained diffusion model.