Paper
Geração de Imagem
Exploring the Design Space of Reward Backpropagation for Flow Matching
FlowBP addresses limitations in flow matching model alignment by using a surrogate trajectory framework that reduces memory usage and gradient chaining while maintaining performanc…
Hugging Face · Daily Papers
·Ruoyu Wang, Boye Niu
·
·▲ 6 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Ruoyu Wang, Boye Niu, Xiangxin Zhou, Yushi Huang, Tongliang Liu, Chi Zhang
- 6 upvotes da comunidade
- Temas: flow matching models, direct reward backpropagation, Jacobian products, backward trajectory, surrogate trajectory, cached rollout
Resumo
Resumo original (em inglês), extraído do paper:
FlowBP addresses limitations in flow matching model alignment by using a surrogate trajectory framework that reduces memory usage and gradient chaining while maintaining performance across multiple text-to-image models.
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