DataEvolver: Self-Evolving Multi-Agent Data Construction for Text-Rich Image Generation
DataEvolver is a self-evolving multi-agent framework that improves text-rich image generation by leveraging feedback from rejected samples to iteratively enhance data quality.
Hugging Face · Daily Papers
·Siyu Yan, Yizhen Gao
·
·▲ 16 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Siyu Yan, Yizhen Gao, Yilin Wang, Dongxing Mao, Alex Jinpeng Wang
- 16 upvotes da comunidade
- Temas: text-rich image generation, data construction, feedback-driven evolution, multi-agent framework, OCR-F1, semantic feedback
Resumo
Resumo original (em inglês), extraído do paper:
DataEvolver is a self-evolving multi-agent framework that improves text-rich image generation by leveraging feedback from rejected samples to iteratively enhance data quality.Onde ler
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