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Research questionHow can diffusion-based image restoration enforce data consistency efficiently under accelerated sampling?Diffusion restoration solvers often add likelihood-gradient data-consistency updates during reverse sampling. These updates increase inference time and limit how much accelerated samplers can reduce reverse steps.
AI
Computer Vision
Diffusion Models
Image & Video Processing
Inference Optimization
Research Paper
Latest papersRecent research connected to this question, newest first.Decoupled Data Consistency with Diffusion Purification for Image RestorationThe source addresses image denoising, deblurring, inpainting, and super-resolution, including latent-space restoration and consistency-model integration. Its evidence comes from experiments across these restoration tasks.research paper · Sep 2, 2026
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