Zhaoyang Lyu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Blind Image Restoration

Total Least Squares

Diffusion Models

Top Venues

Publications

Zhaoyang Lyu, Ben Fei, Jinyi Wang, Xudong Xu, Ya Zhang, Weidong Yang, Bo Dai
GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation. CoRR (2024)
Xinqi Lin, Jingwen He, Ziyan Chen, Zhaoyang Lyu, Ben Fei, Bo Dai, Wanli Ouyang, Yu Qiao, Chao Dong
DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior. CoRR (2023)
Xudong Xu, Zhaoyang Lyu, Xingang Pan, Bo Dai
MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR. CoRR (2023)
Xiao Zheng, Xiaoshui Huang, Guofeng Mei, Yuenan Hou, Zhaoyang Lyu, Bo Dai, Wanli Ouyang, Yongshun Gong
Point Cloud Pre-training with Diffusion Models. CoRR (2023)
Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, Bo Dai
Generative Diffusion Prior for Unified Image Restoration and Enhancement. CVPR (2023)
Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya Zhang, Dahua Lin, Bo Dai
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models. CVPR (2023)
Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, Bo Dai
Generative Diffusion Prior for Unified Image Restoration and Enhancement. CoRR (2023)
Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya Zhang, Dahua Lin, Bo Dai
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models. CoRR (2023)
Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion. ICLR (2022)
Zhaoyang Lyu, Xudong Xu, Ceyuan Yang, Dahua Lin, Bo Dai
Accelerating Diffusion Models via Early Stop of the Diffusion Process. CoRR (2022)
Jinyi Wang, Zhaoyang Lyu, Dahua Lin, Bo Dai, Hongfei Fu
Guided Diffusion Model for Adversarial Purification. CoRR (2022)
Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin
Towards Evaluating and Training Verifiably Robust Neural Networks. CoRR (2021)
Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion. CoRR (2021)
Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin
Towards Evaluating and Training Verifiably Robust Neural Networks. CVPR (2021)
Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
Fastened CROWN: Tightened Neural Network Robustness Certificates. AAAI (2020)
Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin
POPQORN: Quantifying Robustness of Recurrent Neural Networks. CoRR (2019)
Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin
POPQORN: Quantifying Robustness of Recurrent Neural Networks. ICML (2019)
Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
Fastened CROWN: Tightened Neural Network Robustness Certificates. CoRR (2019)