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NeurIPS 2026Hong Kong University of Science Ant GroupAnt ResearchStanfordPose & motion

PosePlaner: Denoising Any Feedforward Pose Predictor from Pairwise Planar Geometry

Yihang Chen, Bin Tan, Yujun Shen, Yinghao Xu and 1 more

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

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NeurIPS 2026Tsinghua University, TsinghuaAnt GroupHong Kong University of Science Ant ResearchStanfordVideo generation

Persistent Planar Memory for Video World Models

Yuze He, Bin Tan, Zelin Gao, Yujun Shen 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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83%Must read
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NeurIPS 2026Huazhong University of Science aAlibaba GroupThe Hong Kong University of ScieAnt GroupAnt ResearchVideo generation

Next Forcing: Causal World Modeling with Multi-Chunk Prediction

Next Forcing uses multi-chunk prediction to accelerate convergence 2.3x, boost high-frame-rate accuracy 93.1%, and double inference speed for world models.

Gangwei Xu, Qihang Zhang, Jiaming Zhou, Xing Zhu and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 136

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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 7/10
strict 2/5
78%Highly rated
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NeurIPS 2026The Hong Kong University of ScieDepartment of Computer Science aAnt GroupHong Kong University of Science Ant ResearchAutoregressive generation

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives

CausalCine enables real-time interactive multi-shot video generation via causal modeling, content-aware memory routing, and few-step distillation, surpassing autoregressive baselines with streaming interactivity.

Yihao Meng, Zichen Liu, Hao Ouyang, Qiuyu Wang and 7 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 30 on Hugging Face

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5
89%Must read
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NeurIPS 2026ZhejiangHong Kong University of Science Ant ResearchBeihangStanfordVideo generation

DSAQuant: Denoising-Stage-Aligned Quantization-Aware Training for Video Generation

DSAQuant aligns video diffusion quantization with denoising stages to preserve visual details and improve compressed text-to-video generation quality.

Shuaiting Li, Zelin Gao, Haibin Shen, Yujun Shen 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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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 1/5