Luo, Weijian

13 publications

ICLR 2025 Consistency Models Made Easy Zhengyang Geng, Ashwini Pokle, Weijian Luo, Justin Lin, J Zico Kolter

ICML 2025 David and Goliath: Small One-Step Model Beats Large Diffusion with Score Post-Training Weijian Luo, Colin Zhang, Debing Zhang, Zhengyang Geng

TMLR 2025 Diff-Instruct++: Training One-Step Text-to-Image Generator Model to Align with Human Preferences Weijian Luo

TMLR 2025 Dive3D: Diverse Distillation-Based Text-to-3D Generation via Score Implicit Matching Weimin Bai, Yubo Li, Wenzheng Chen, Weijian Luo, He Sun

NeurIPS 2025 Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation Yihong Luo, Tianyang Hu, Weijian Luo, Kenji Kawaguchi, Jing Tang

CVPR 2025 Schedule on the Fly: Diffusion Time Prediction for Faster and Better Image Generation Zilyu Ye, Zhiyang Chen, Tiancheng Li, Zemin Huang, Weijian Luo, Guo-Jun Qi

NeurIPS 2025 Uni-Instruct: One-Step Diffusion Model Through Unified Diffusion Divergence Instruction Yifei Wang, Weimin Bai, Colin Zhang, Debing Zhang, Weijian Luo, He Sun

NeurIPS 2024 One-Step Diffusion Distillation Through Score Implicit Matching Weijian Luo, Zemin Huang, Zhengyang Geng, J. Zico Kolter, Guo-jun Qi

ICML 2024 Variational Schrödinger Diffusion Models Wei Deng, Weijian Luo, Yixin Tan, Marin Biloš, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen

NeurIPS 2023 Diff-Instruct: A Universal Approach for Transferring Knowledge from Pre-Trained Diffusion Models Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang

NeurIPS 2023 Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang, Weijian Luo, Zhihua Zhang

NeurIPS 2023 Entropy-Based Training Methods for Scalable Neural Implicit Samplers Weijian Luo, Boya Zhang, Zhihua Zhang

NeurIPS 2023 SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma