PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion research paper by NVIDIA, 2026
NVIDIA · May 22, 2026 · Inference and efficiency · 2 citations · 45 upvotes · unverified
What it shows
PiD introduces a pixel diffusion decoder that reformulates latent decoding as conditional pixel diffusion, enabling fast and high-quality image synthesis at high resolutions with reduced computational requirements.
UnverifiedHugging Face's summary; not yet checked by hand.
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TopicAbout this paper
- Authors
- Yifan Lu, Qi Wu, Jay Zhangjie Wu and 4 more
- arXiv
- 2605.23902 · PDF
- Venue
- arXiv.org
- Citations
- 2, 0 influential · Semantic Scholar
- Upvotes
- 45 · Hugging Face
- Lab
- NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf
Changes
| What changed | |
|---|---|
| Sep 25, 2026 | Influential citationsfirst count: 0Sep 25, 2026 |
| Sep 25, 2026 | Citationsfirst count: 2Sep 25, 2026 |
| Sep 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.