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Showing papers from Meta and University of Oxford Show all papers

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NeurIPS 2026Google DeepmindGoogle DeepMindU OxfordMeta and University of OxfordVideo-language models

ActO: Extracting Action Representations from MLLM Embeddings for Video World Models

Runjia Li, Minghao Chen, Junyu Xie, Philip Torr and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · 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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NeurIPS 2026U OxfordMeta and University of OxfordSim-to-real

PhysFormer: Learning to Simulate Mechanics in World Space

Yiming Chen, Yushi LAN, Andrea Vedaldi

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · 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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NeurIPS 2026U OxfordVGG, University of OxfordNanyang TechnologicalMeta and University of OxfordDiffusion models

Track4D: Representing Dense 3D Tracking for Video Diffusion Models

Yushi LAN, Zeren Jiang, Kelvin Zheng Li, Xingang Pan and 2 more

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

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AI panel: 0 of 20 reviewers recommend it
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medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026U OxfordVGG, University of OxfordNanyang TechnologicalMeta and University of OxfordControllable generation

Holo4D: Holistic 4D Reconstruction as Geometric Control for Video Diffusion

Yushi LAN, Zeren Jiang, Koichi Namekata, Xingang Pan and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
76%Highly rated
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NeurIPS 2026U OxfordU CambridgeComputer Science Department, StaNanyang TechnologicalMeta and University of Oxford3D vision & reconstruction

Instruct-Particulate: Scaling Feed-Forward 3D Object Articulation with Kinematic Control

Instruct-Particulate predicts articulated 3D part segmentation and joint parameters from meshes and kinematic specifications, scaling training via vision-language labels to improve cross-category and AI-generated mesh generalization.

Ruining Li, Yuxin Yao, Matt Zhou, Chuanxia Zheng and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
80%Must read
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NeurIPS 2026Computer Science Department, StaU OxfordU Hong KongU CambridgeNanyang Technological3D generation

Articraft: An Agentic System for Scalable Articulated 3D Asset Generation

Articraft uses LLM agents to programmatically generate validated articulated 3D assets at scale, yielding 10K assets for training and simulation.

Matt Zhou, Ruining Li, Xiaoyang Lyu, Zhaomou Song and 5 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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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 5/10
strict 2/5