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Manyuan Zhang*

2 accepted papers

2024

Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models

ECCV 2024poster

"Optimizing a text-to-image diffusion model with a given reward function is an important but underexplored research area. In this study, we propose Deep Reward Tuning (DRTune), an algorithm that directly supervises the final output image of a text-to-image diffusion model and back-propagates through…

Cited by 14SourcePDFScholar
2024

Three Things We Need to Know About Transferring Stable Diffusion to Visual Dense Prediciton Tasks

ECCV 2024poster

"In this paper, we investigate how to conduct transfer learning to adapt Stable Diffusion to downstream visual dense prediction tasks such as semantic segmentation and depth estimation. We focus on fine-tuning the Stable Diffusion model, which has demonstrated impressive abilities in modeling image…

Cited by 3SourcePDFScholar