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76%Highly rated
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NeurIPS 2026OralU Massachusetts at AmherstShanghaiTechUMassGoogle Deepmind / HarvardIBMSim-to-real

SyncWorld: Visual Calibration Enables World Models as Zero-Shot Simulators

SyncWorld learns action-visual mappings via visual calibration episodes to serve as zero-shot simulators across unseen robot settings without retraining.

Yuncong Yang, Zhengtao Han, Furkan Ozyurt, Zeyuan Yang and 5 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 16 on Hugging Face · Code ★ 21

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
83%Must read
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NeurIPS 2026UMassThe University of TokyoFudannvidiaU Massachusetts at AmherstRobot manipulation

Action Images: End-to-End Policy Learning via Multiview Video Generation

Action Images formulates robot policy learning as multiview video generation using interpretable pixel-grounded action images, enabling zero-shot control without separate policy heads and improving video-action joint generation.

Haoyu Zhen, Zixian Gao, Qiao Sun, yilin zhao and 6 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5