Policy Gradient in Diffusion Models Sparks Debate
Developers discussed the high cost of end-to-end backpropagation in diffusion models, noting that policy gradients are rarely used. ByteDance's VLM reward paper might be an exception, utilizing a branch rollback abstraction typically necessary only for long-range language models.
2026-08-02 ~ 2026-08-02 · 3 related posts
- Why Policy Gradients Are Missing in Diffusion Models — kalomaze · 2026-08-02
- Diffusion models can backprop end-to-end but costly; policy gradients only necessary for long-horizon language models — kalomaze · 2026-08-02
- End-to-End RL for Diffusion Models Resurfaces in Academic Debate — Kangwook_Lee · 2026-08-02