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Zilyu Ye

2 accepted papers

2026

Leveraging Verifier-Based Reinforcement Learning in Image Editing

CVPR 2026

While Reinforcement Learning from Human Feedback (RLHF) has become a pivotal paradigm for text-to-image generation, its application to image editing remains largely unexplored. A key bottleneck is the lack of a robust general reward model for all editing tasks. Existing edit reward models usually gi

Cited by 0SourcecodeScholar
2025

Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation

CVPR 2025poster

Diffusion and flow matching models have achieved remarkable success in text-to-image generation. However, these models typically rely on the predetermined denoising schedules for all prompts. The multi-step reverse diffusion process can be regarded as a kind of chain-of-thought for generating high-q…