57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026SpotlightHeidelbergTechnical University of MunichU HeidelbergImage restorationDo Image Editing Models Understand Lighting?Tim Küchler, Johann-Friedrich Feiden, Matthias Niessner, Carsten RotherSydney 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
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026International Institute of InforInternational Institute of InforHeidelbergMBZUAIIndian Institute of Technology BVision-language modelsCrossWeave: Emergent Cross-Modal Scene and Instance Retrieval from Sparse 2D-3D AlignmentAadith Warrier, Gnana Prakash Punnavajhala, Siddharth Tourani, Muhammad Haris Khan and 2 moreSydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet0/20 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: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
80%Must read?Must readVote to see the scoreNeurIPS 2026Ruprecht-Karls-Universität HeideHeidelbergIWR, HeidelbergTime series foundation modelsA Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical SystemsDynaBase, a two-parameter model blending latent states with nearest in-context neighbors, achieves competitive zero-shot dynamical reconstruction with orders-of-magnitude fewer parameters.Christoph Jürgen Hemmer, Florian Plaswig, Daniel DurstewitzSydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet12/20 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: 12 of 20 reviewers recommend itlenient 4/5medium 7/10strict 1/5