Lyu, Zhaoyang

12 publications

ICLR 2025 GaussianAnything: Interactive Point Cloud Flow Matching for 3D Generation Yushi Lan, Shangchen Zhou, Zhaoyang Lyu, Fangzhou Hong, Shuai Yang, Bo Dai, Xingang Pan, Chen Change Loy

NeurIPS 2025 InternScenes: A Large-Scale Simulatable Indoor Scene Dataset with Realistic Layouts Weipeng Zhong, Peizhou Cao, Yichen Jin, Luo Li, Wenzhe Cai, Jingli Lin, Hanqing Wang, Zhaoyang Lyu, Tai Wang, Xudong Xu, Bo Dai, Jiangmiao Pang

NeurIPS 2025 MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning Jinkun Hao, Naifu Liang, Zhen Luo, Xudong Xu, Weipeng Zhong, Ran Yi, Yichen Jin, Zhaoyang Lyu, Feng Zheng, Lizhuang Ma, Jiangmiao Pang

NeurIPS 2025 MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds BingQuan Dai, Luo Li, Qihong Tang, Jie Wang, Xinyu Lian, Hao Xu, Minghan Qin, Xudong Xu, Bo Dai, Haoqian Wang, Zhaoyang Lyu, Jiangmiao Pang

ECCV 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

CVPR 2024 Point Cloud Pre-Training with Diffusion Models Xiao Zheng, Xiaoshui Huang, Guofeng Mei, Yuenan Hou, Zhaoyang Lyu, Bo Dai, Wanli Ouyang, Yongshun Gong

CVPR 2023 Controllable Mesh Generation Through Sparse Latent Point Diffusion Models Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya Zhang, Dahua Lin, Bo Dai

CVPR 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

ICLR 2022 A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin

CVPR 2021 Towards Evaluating and Training Verifiably Robust Neural Networks Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin

AAAI 2020 Fastened CROWN: Tightened Neural Network Robustness Certificates Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel

ICML 2019 POPQORN: Quantifying Robustness of Recurrent Neural Networks Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin