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DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder research paper by NVIDIA, 2025

NVIDIA · Sep 29, 2025 · Inference and efficiency · 13 citations · 40 upvotes · unverified

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What it shows

DC-VideoGen accelerates video generation by adapting pre-trained diffusion models to a deep compression latent space, reducing inference latency and enabling high-resolution video generation.

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

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About this paper
Authors
Junyu Chen, Wenkun He, Yuchao Gu and 12 more
arXiv
2509.25182 · PDF
Venue
arXiv.org
Citations
13, 0 influential · Semantic Scholar
Upvotes
40 · Hugging Face
Code
github.com/dc-ai-projects/DC-VideoGen
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 13Sep 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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