Diffusion Posterior Sampling
PulseAugur coverage of Diffusion Posterior Sampling — every cluster mentioning Diffusion Posterior Sampling across labs, papers, and developer communities, ranked by signal.
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New method improves AI signal reconstruction by accounting for model uncertainty
Researchers have developed an uncertainty-aware likelihood (UAL) method for diffusion posterior samplers, which are used in signal reconstruction. UAL approximates the marginal likelihood by integrating over uncertain p…
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New WildRelight dataset tackles real-world AI relighting challenges
Researchers have introduced WildRelight, a new benchmark dataset designed to evaluate single-image relighting models in real-world scenarios. Existing models, often trained on synthetic data, struggle with the complexit…
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HarmoCore method reconstructs oscillatory wave fields from sparse data
Researchers have introduced HarmoCore, a novel method for reconstructing oscillatory wave fields from sparse sensor data. This approach places a generative prior within a compact, continuous, and structured wave-field l…