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SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer research paper by NVIDIA, 2026

NVIDIA · May 14, 2026 · Inference and efficiency · 33 citations · 92 upvotes · unverified

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What it shows

SANA-WM is an efficient 2.6B-parameter world model that generates high-fidelity 720p videos with precise camera control, achieving industrial-level quality while significantly reducing computational requirements through hybrid attention, dual-camera branches, two-stage generation, and robust annotation pipelines.

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

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About this paper
Authors
Haoyi Zhu, Haozhe Liu, Yuyang Zhao and 6 more
arXiv
2605.15178 · PDF
Venue
arXiv.org
Citations
33, 12 influential · Semantic Scholar
Upvotes
92 · Hugging Face
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 12Sep 25, 2026
Citationsfirst count: 33Sep 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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