Provable diffusion-based posterior sampling for linear inverse problems via DDIM
Diffusion-based methods have achieved remarkable empirical success in solving inverse problems. However, many existing posterior samplers either lack rigorous theoretical guarantees or incur substantial computational overhead. We propose a simple and efficient algorithm, called \pddim, for solving linear inverse problems with diffusion priors via a DDIM-type sampler. Our method requires only lightweight, coordinate-wise modifications to the standard DDIM update, while explicitly incorporating the measurement model. The key idea is to perform posterior sampling separately along each singular di
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- FuzzySimilar title/name (fuzzy) · 59%stabilityai/stable-diffusion-xl-base-1.0 →
“Fuzzy title match (0.73): “Provable diffusion-based posterior sampling for linear inver” ≈ “stabilityai/stable-diffusion-xl-base-1.0””
- FuzzySimilar title/name (fuzzy) · 59%CompVis/stable-diffusion-v1-4 →
“Fuzzy title match (0.73): “Provable diffusion-based posterior sampling for linear inver” ≈ “CompVis/stable-diffusion-v1-4””
- FuzzySimilar title/name (fuzzy) · 59%stabilityai/stable-diffusion-3.5-large →
“Fuzzy title match (0.73): “Provable diffusion-based posterior sampling for linear inver” ≈ “stabilityai/stable-diffusion-3.5-large””
- LinkedLinked via arxiv author · 85%Yuchen Jiao →
“Provable diffusion-based posterior sampling for linear inverse problems via DDIM”
- LinkedLinked via arxiv author · 85%Nana Liu →
“Provable diffusion-based posterior sampling for linear inverse problems via DDIM”
- LinkedLinked via arxiv author · 85%Changxiao Cai →
“Provable diffusion-based posterior sampling for linear inverse problems via DDIM”
- LinkedLinked via arxiv author · 85%Yuxin Chen →
“Provable diffusion-based posterior sampling for linear inverse problems via DDIM”
- LinkedLinked via arxiv author · 85%Qiegen Liu →
“Provable diffusion-based posterior sampling for linear inverse problems via DDIM”