Good Papers

Showing papers from Google, TUM Show all papers

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Extending 3D Reconstruction Models to Any Camera

Ruxiao Duan, Yunwen (Verse) Zhou, Erin Hong, Dongxu Zhao and 3 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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WayPOP: A Panoramic Open-Set Panoptic Tracking Benchmark

Rohit Mohan, Maximilian Luz, Swarnava Chowdhury, Yao Lu and 6 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
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Certifiably Optimal Robust Angular Synchronization

Daniel Barath, Keisuke Tateno, Marc Pollefeys, Federico Tombari

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
83%Must read
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GenRec: Knowing Where to Reconstruct and Where to Generate

GenRec separates reconstruction and generation via observation masks to preserve fidelity in visible regions while synthesizing plausible unobserved content.

Ata Çelen, Jaewoo Jung, Federico Tombari, Marc Pollefeys and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5
80%Must read
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Stitched Value Model for Diffusion Alignment

StitchVM stitches pretrained pixel-space reward models onto frozen diffusion backbones to build accurate noisy-latent value functions for efficient diffusion alignment, accelerating DPS 3.2× and DiffusionNFT 2.3×.

Hyojun Go, Hyungjin Chung, Prune Truong, Goutam Bhat and 7 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 10 on Hugging Face

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
80%Must read
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Prompting Diffusion Models for Zero-Shot Instance Segmentation

Prompt2Seg conditions frozen diffusion segmentation models on spatial prompts for zero-shot interactive instance segmentation across diverse visual domains.

İrem Z Alagöz, Nils Morbitzer, Andrea Ramazzina, Nassir Navab and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5