arXiv 2610.12572 · cs.LG · 2026-10-08
DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models
Zhenglin Wan, Jiayu Chen, Zhengfeiyang Zhang, Pengfei Zhou, Wangbo Zhao, Fangyuan Kong, Pengfei Wan, Kun Gai 等 9 人
KlingAI Research
在最新榜 #24 2026-W42 第 7 名 本站收录于 2026-10-21
一句话要点
DiffusionART 先聚合奖励再微调扩散模型，在线强化学习更高效也更稳定。
DiffusionART aggregates rewards before tilting the objective, making online RL fine-tuning of diffusion models efficient and stable.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题：视觉生成
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- Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation ▲364
- UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation ▲197
- Matrix-Game 4.0: Harnessing Video Models for Real-Time Playable Game Worlds ▲182
- Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation ▲174
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。