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Motion Attribution for Video Generation research paper by NVIDIA, 2026

NVIDIA · Jan 13, 2026 · Multimodal and robotics · 4 citations · 72 upvotes · unverified

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What it shows

Motive is a gradient-based data attribution framework that identifies influential video clips for motion improvement in text-to-video models through motion-weighted loss masking.

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

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About this paper
Authors
Xindi Wu, Despoina Paschalidou, Jun Gao and 5 more
arXiv
2601.08828 · PDF
Venue
arXiv.org
Citations
4, 0 influential · Semantic Scholar
Upvotes
72 · Hugging Face
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

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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