Cheng Lu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 17

Top Topics

Maximum Likelihood

Diffusion Models

Gaussian Mixture

Top Venues

Publications

Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu
Score Regularized Policy Optimization through Diffusion Behavior. ICLR (2024)
Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing. ICLR (2024)
Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs. ICML (2023)
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation. NeurIPS (2023)
Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing. CoRR (2023)
Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics. CoRR (2023)
Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. ICLR (2023)
Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning. ICML (2023)
Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning. CoRR (2023)
Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li
Gaussian Mixture Solvers for Diffusion Models. CoRR (2023)
Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu
Score Regularized Policy Optimization through Diffusion Behavior. CoRR (2023)
Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching. ICML (2022)
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models. CoRR (2022)
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps. CoRR (2022)
Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling. CoRR (2022)
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps. NeurIPS (2022)
Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching. CoRR (2022)