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World-R1: Reinforcing 3D Constraints for Text-to-Video Generation research paper by Microsoft, 2026

Microsoft · Multimodal and robotics · Apr 27, 2026 · 14 citations · 120 upvotes · unverified

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What it shows

World-R1 framework improves video generation by incorporating 3D constraints through reinforcement learning and specialized text datasets while maintaining visual quality and scalability.

By Weijie Wang, Xiaoxuan He, Youping Gu and 9 more · arXiv 2604.24764 · PDF · Code

UnverifiedHugging Face's summary; not yet checked by hand.

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Other multimodal and robotics papers

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About this paper
Venue
arXiv.org
Citations
14, 1 influential · Semantic Scholar
Upvotes
120 · Hugging Face
Lab
Microsoft · on Companies · on Acquisitions · on Quarterly · on Paydays · on Releases · on TechConf

Changes

CitationsNov 2, 2026Citations rose from 10 to 14.
CitationsOct 12, 2026Influential citations rose from 0 to 1.
CitationsOct 12, 2026Citations rose from 8 to 10.
CitationsSep 25, 2026A first count of 0 influential citations.
CitationsSep 25, 2026A first count of 8 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.