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LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation research paper by NVIDIA, 2026

NVIDIA · May 18, 2026 · Multimodal and robotics · 20 citations · 117 upvotes · unverified

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What it shows

LongLive-2.0 presents an NVFP4-based parallel infrastructure for long video generation that addresses training and inference bottlenecks through sequence-parallel autoregressive training and diffusion model tuning.

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

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About this paper
Authors
Yukang Chen, Luozhou Wang, Wei Huang and 13 more
arXiv
2605.18739 · PDF
Venue
arXiv.org
Citations
20, 6 influential · Semantic Scholar
Upvotes
117 · Hugging Face
Code
github.com/NVlabs/LongLive
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 6Sep 25, 2026
Citationsfirst count: 20Sep 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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