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

NVIDIA · Inference and efficiency · May 14, 2026 · 70 citations · 92 upvotes · unverified

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.

By Haoyi Zhu, Haozhe Liu, Yuyang Zhao and 6 more · arXiv 2605.15178 · PDF

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

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About this paper

Venue: arXiv.org
Citations: 70, 20 influential · Semantic Scholar
Upvotes: 92 · Hugging Face
Lab: NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

CitationsNov 9, 2026Citations rose from 65 to 70.

CitationsNov 2, 2026Influential citations rose from 16 to 20.

CitationsNov 2, 2026Citations rose from 52 to 65.

CitationsOct 12, 2026Influential citations rose from 15 to 16.

CitationsOct 12, 2026Citations rose from 49 to 52.

CitationsOct 5, 2026Influential citations rose from 12 to 15.

CitationsOct 5, 2026Citations rose from 34 to 49.

CitationsSep 28, 2026Citations rose from 33 to 34.

CitationsSep 25, 2026A first count of 12 influential citations.

CitationsSep 25, 2026A first count of 33 citations.

New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.