Diffusion Priors
PulseAugur coverage of Diffusion Priors — every cluster mentioning Diffusion Priors across labs, papers, and developer communities, ranked by signal.
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New Bayesian Signal Decomposition Method Uses Diffusion-Gibbs Sampling
Researchers have developed a novel Bayesian framework for signal component decomposition, combining Gibbs sampling with diffusion priors. This new method, termed Diffusion-within-Gibbs (DiG), allows for the unified inco…
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New GAINS framework uses foundation models for sparse-view inverse rendering
Researchers have developed GAINS, a novel two-stage framework for inverse rendering that utilizes foundation models to improve material and geometry estimation from sparse multi-view captures. This approach stabilizes t…
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New AI methods tackle 3D and 4D reconstruction from single images and video
Two new research papers introduce novel approaches to 3D and 4D reconstruction from visual data. PRISM offers a feed-forward method for single-image 3D reconstruction, decomposing the task into a geometric prior and a l…
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New research explores 3D consistency, LoRA transferability, and unified frameworks for video diffusion models.
Researchers have developed new methods to improve video generation using diffusion models. One approach, Geometry Forcing, integrates 3D representations with video diffusion models to enhance geometric consistency and v…