DiffusionBench: On Holistic Evaluation of Diffusion Transformers
Researchers introduce NanoGen, a unified framework for training and evaluating diffusion transformers that demonstrates the need for comprehensive benchmarking beyond ImageNet clas…
Hugging Face · Daily Papers
·Xingjian Leng, Jaskirat Singh
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·▲ 4 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Xingjian Leng, Jaskirat Singh, Zhanhao Liang, Ethan Smith, Martin Bell, Aninda Saha
- 4 upvotes da comunidade
- Temas: diffusion transformer, DiT, image generation, text-to-image generation, FID, latent diffusion models
Resumo
Resumo original (em inglês), extraído do paper:
Researchers introduce NanoGen, a unified framework for training and evaluating diffusion transformers that demonstrates the need for comprehensive benchmarking beyond ImageNet class-conditional generation to assess true progress in generative modeling.
