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Qwen-Image-VAE-2.0 Technical Report research paper by Alibaba (Qwen), 2026

Alibaba (Qwen) · May 13, 2026 · Foundation models · 2 citations · 61 upvotes · unverified

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What it shows

Qwen-Image-VAE-2.0 is a high-compression Variational Autoencoder suite that improves reconstruction fidelity and diffusability through enhanced architecture, large-scale training, and semantic alignment strategies.

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

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About this paper
Authors
Zekai Zhang, Deqing Li, Kuan Cao and 27 more
arXiv
2605.13565 · PDF
Venue
arXiv.org
Citations
2, 0 influential · Semantic Scholar
Upvotes
61 · Hugging Face
Code
github.com/alibaba/OmniDoc-TokenBench
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 2Sep 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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