Author

Jaemoo Choi

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Preprint Aug 2026

Scaling Reinforcement Learning for Diffusion Models via Velocity Matching

This work proposes reward-based velocity matching (RVM), a simple trajectory-free update that acts directly on the velocity field and provides a general framework that recovers recent fine-tuning methods, including RAM and DiffusionNFT, as special cases.

Jaemoo Choi, Wei Guo, Yuchen Zhu et al. · 0 citations