Yihong

TDM-R1. [ICML 2026][Ultra Powerful Few-Step Diffusion RL] TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward

TDM. [ICCV 2025][Few-Step Student Surpasses Teacher Diffusion] Learning Few-Step Diffusion Models by Trajectory Distribution Matching

DGPO. [ICLR 2026][Ultra Fast&Powerful Diffusion RL] Reinforcing Diffusion Models by Direct Group Preference Optimization

YOSO. [ICLR 2025] You Only Sample Once: Taming One-Step Text-To-Image Synthesis by Self-Cooperative Diffusion GANs

Reward-Instruct. [NeurIPS 2025] Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation

NCT. [NeurIPS 2025] Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls

EC-VAE. [ECCV 2024] Energy-Calibrated VAE with Test Time Free Lunch

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