Zhaoyang Lyu

According to our database, Zhaoyang Lyu authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation.

Zhaoyang Lyu, Ben Fei, Jinyi Wang, Xudong Xu, Ya Zhang, Weidong Yang, Bo Dai

CoRR, 2024

DiffBIR: Toward Blind Image Restoration with Generative Diffusion Prior.

Xinqi Lin, Jingwen He, Ziyan Chen, Zhaoyang Lyu, Bo Dai, Fanghua Yu, Yu Qiao, Wanli Ouyang, Chao Dong

Proceedings of the Computer Vision - ECCV 2024, 2024

Point Cloud Pre-Training with Diffusion Models.

Xiao Zheng, Xiaoshui Huang, Guofeng Mei, Yuenan Hou, Zhaoyang Lyu, Bo Dai, Wanli Ouyang, Yongshun Gong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior.

Xinqi Lin, Jingwen He, Ziyan Chen, Zhaoyang Lyu, Ben Fei, Bo Dai, Wanli Ouyang, Yu Qiao, Chao Dong

CoRR, 2023

MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR.

Xudong Xu, Zhaoyang Lyu, Xingang Pan, Bo Dai

CoRR, 2023

Controllable Mesh Generation Through Sparse Latent Point Diffusion Models.

Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya Zhang, Dahua Lin, Bo Dai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Generative Diffusion Prior for Unified Image Restoration and Enhancement.

Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, Bo Dai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Guided Diffusion Model for Adversarial Purification.

Jinyi Wang, Zhaoyang Lyu, Dahua Lin, Bo Dai, Hongfei Fu

CoRR, 2022

Accelerating Diffusion Models via Early Stop of the Diffusion Process.

Zhaoyang Lyu, Xudong Xu, Ceyuan Yang, Dahua Lin, Bo Dai

CoRR, 2022

A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion.

Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Towards Evaluating and Training Verifiably Robust Neural Networks.

Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Fastened CROWN: Tightened Neural Network Robustness Certificates.

Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

POPQORN: Quantifying Robustness of Recurrent Neural Networks.

Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin

CoRR, 2019

POPQORN: Quantifying Robustness of Recurrent Neural Networks.

Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin

Proceedings of the 36th International Conference on Machine Learning, 2019