Papersby GlyphQuant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization research paper by UC Berkeley, 2026
UC Berkeley · Inference and efficiency · Feb 3, 2026 · 29 citations · 35 upvotes · unverified
What it shows
Quant VideoGen addresses KV cache memory limitations in autoregressive video diffusion models through semantic-aware smoothing and progressive residual quantization, achieving significant memory reduction with minimal latency impact.
By Haocheng Xi, Shuo Yang, Yilong Zhao and 13 more · arXiv 2602.02958 · PDF · Code
UnverifiedHugging Face's summary; not yet checked by hand.
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- Venue
- arXiv.org
- Citations
- 29, 3 influential · Semantic Scholar
- Upvotes
- 35 · Hugging Face
- Lab
- UC Berkeley
Changes
Influential citations rose from 2 to 3.
Citations rose from 25 to 29.
Influential citations rose from 1 to 2.
Citations rose from 19 to 25.
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A first count of 1 influential citations.
A first count of 16 citations.
Found by the weekly Hugging Face scan; not yet checked by hand.