57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026Hanyang University, SeoulHanyang Univ.Chungnam NationalImage restorationDiscovering Unseen Degradations to Adapt Open-World Image RestorationBoseong Kim, Tae Hyun Kim, Donghyeon ChoSydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet1/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
74%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026HanyangKTKT CorporationHanyang UniverstyHanyang Univ.Image restorationODDR: One-Step Deshadow Diffusion via Reward GuidanceODDR achieves efficient, high-fidelity shadow removal without real-world paired supervision via one-step diffusion guided by a synthetic, annotation-free ShadowReward model, approaching fully supervised performance.Junseong Shin, Kijun Kim, Minseong Kim, Dongjin Kim and 1 moreSydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet9/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 9 of 20 reviewers recommend itlenient 5/5medium 4/10strict 0/5
78%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026HanyangHanyang Univ.Image restorationPickMoment: Continuous-Time Single-Image-to-Video via Learning Deblurring and Blur-to-VideoPickMoment learns continuous-time blur integration via sub-interval mean predictions with additivity and sharp-frame constraints to unify deblurring and video generation in one pass.Junseong Shin, Hyeonsu Jo, Daehyun Kim, Tae Hyun KimSydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet11/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 11 of 20 reviewers recommend itlenient 4/5medium 6/10strict 1/5