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NeurIPS 2026Kyutai & Ecole des PontsKyutaiGoogle DeepMindENPC3D generation

One View Is Enough: In-the-Wild Monocular Pretraining for Novel View Generation

Monocular pretraining lifts single images into pseudo-target views via depth and reprojection, yielding OVIE, which rivals multi-view baselines at 116 FPS without inference-time depth or multi-view training pairs.

Adrien RAMANANA RAHARY, Nicolas Dufour, Patrick Perez, David Picard

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026 · ▲ 5 on Hugging Face · Code ★ 82

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AI panel: 16 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 4/5
76%Highly rated
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NeurIPS 2026École Nationale des Ponts ParisTENPCEcole Nationale des Ponts et ChaENPC ParisTechPose & motion

Articulation in Prime: Primitive-Based Articulated Object Understanding from a Single Casual Video

A primitive-fitting framework recovers articulated object kinematics from single casual videos via joint optimization of part segmentation and joint parameters under occlusions.

Arslan Artykov, Tom Ravaud, Nicolás Violante, Vincent Lepetit

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
76%Highly rated
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NeurIPS 2026École Polytechnique - Ecole des École PolytechniqueÉcole nationale des ponts et chaUC BerkeleyENPCFlow matching

Balancing Frequencies and Pixels in Flow Matching

Focal log-frequency loss balances spectral learning signals in flow matching, accelerating convergence by 40% and improving image fidelity without architectural changes.

Lucas Degeorge, Paul Couairon, Arijit Ghosh, Alexei Efros and 2 more

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

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5