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Zhaoyang Lyu
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2020 – today
- 2024
- [i12]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 abs/2403.11990 (2024) - 2023
- [c6]Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya Zhang
, Dahua Lin, Bo Dai:
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models. CVPR 2023: 271-280 - [c5]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: 9935-9946 - [i11]Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya Zhang
, Dahua Lin, Bo Dai:
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models. CoRR abs/2303.07938 (2023) - [i10]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 abs/2304.01247 (2023) - [i9]Xudong Xu, Zhaoyang Lyu, Xingang Pan, Bo Dai:
MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR. CoRR abs/2308.09278 (2023) - [i8]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 abs/2308.15070 (2023) - [i7]Xiao Zheng, Xiaoshui Huang, Guofeng Mei
, Yuenan Hou, Zhaoyang Lyu, Bo Dai, Wanli Ouyang, Yongshun Gong:
Point Cloud Pre-training with Diffusion Models. CoRR abs/2311.14960 (2023) - 2022
- [c4]Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin:
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion. ICLR 2022 - [i6]Zhaoyang Lyu, Xudong Xu, Ceyuan Yang, Dahua Lin, Bo Dai:
Accelerating Diffusion Models via Early Stop of the Diffusion Process. CoRR abs/2205.12524 (2022) - [i5]Jinyi Wang, Zhaoyang Lyu, Dahua Lin, Bo Dai, Hongfei Fu:
Guided Diffusion Model for Adversarial Purification. CoRR abs/2205.14969 (2022) - 2021
- [c3]Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin:
Towards Evaluating and Training Verifiably Robust Neural Networks. CVPR 2021: 4308-4317 - [i4]Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin:
Towards Evaluating and Training Verifiably Robust Neural Networks. CoRR abs/2104.00447 (2021) - [i3]Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin:
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion. CoRR abs/2112.03530 (2021) - 2020
- [c2]Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel:
Fastened CROWN: Tightened Neural Network Robustness Certificates. AAAI 2020: 5037-5044
2010 – 2019
- 2019
- [c1]Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin:
POPQORN: Quantifying Robustness of Recurrent Neural Networks. ICML 2019: 3468-3477 - [i2]Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin:
POPQORN: Quantifying Robustness of Recurrent Neural Networks. CoRR abs/1905.07387 (2019) - [i1]Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel:
Fastened CROWN: Tightened Neural Network Robustness Certificates. CoRR abs/1912.00574 (2019)
Coauthor Index
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last updated on 2024-08-14 23:21 CEST by the dblp team
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