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Mode Seeking meets Mean Seeking for Fast Long Video Generation research paper by NVIDIA, 2026

NVIDIA · Feb 27, 2026 · Multimodal and robotics · 10 citations · 41 upvotes · unverified

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What it shows

A training paradigm combining mode seeking and mean seeking in a Decoupled Diffusion Transformer enables efficient generation of high-quality long videos by leveraging both global flow matching and local distribution matching techniques.

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

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About this paper
Authors
Shengqu Cai, Weili Nie, Chao Liu and 8 more
arXiv
2602.24289 · PDF
Venue
arXiv.org
Citations
10, 2 influential · Semantic Scholar
Upvotes
41 · Hugging Face
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 2Sep 25, 2026
Citationsfirst count: 10Sep 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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