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SAMA: Factorized Semantic Anchoring and Motion Alignment for Instruction-Guided Video Editing research paper by Baidu, 2026

Baidu · Mar 19, 2026 · Alignment and safety · 5 citations · 38 upvotes · unverified

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What it shows

SAMA presents a factorized approach to video editing that separates semantic anchoring from motion modeling, enabling instruction-guided edits with preserved motion through pre-trained motion restoration tasks and sparse anchor frame prediction.

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

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About this paper
Authors
Xinyao Zhang, Wenkai Dong, Yuxin Song and 10 more
arXiv
2603.19228 · PDF
Venue
arXiv.org
Citations
5, 1 influential · Semantic Scholar
Upvotes
38 · Hugging Face
Code
github.com/Cynthiazxy123/SAMA
Lab
Baidu · on Companies · on Quarterly

Changes

What changed
Influential citationsfirst count: 1Sep 25, 2026
Citationsfirst count: 5Sep 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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