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DreamVideo-Omni: Omni-Motion Controlled Multi-Subject Video Customization with Latent Identity Reinforcement Learning research paper by Alibaba (Qwen), 2026

Alibaba (Qwen) · Mar 12, 2026 · Multimodal and robotics · 4 citations · 32 upvotes · unverified

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What it shows

DreamVideo-Omni is a unified framework for video synthesis that enables precise multi-subject identity control and multi-granularity motion manipulation through a two-stage training approach combining condition-aware 3D positional embeddings, hierarchical motion injection, and latent identity reward learning.

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

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About this paper
Authors
Yujie Wei, Xinyu Liu, Shiwei Zhang and 12 more
arXiv
2603.12257 · PDF
Venue
arXiv.org
Citations
4, 0 influential · Semantic Scholar
Upvotes
32 · Hugging Face
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 4Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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