no code implementations • 18 Mar 2024 • Zhaoyang Lyu, Ben Fei, Jinyi Wang, Xudong Xu, Ya zhang, Weidong Yang, Bo Dai
Mesh is a fundamental representation of 3D assets in various industrial applications, and is widely supported by professional softwares.
no code implementations • 25 Nov 2023 • Xiao Zheng, Xiaoshui Huang, Guofeng Mei, Yuenan Hou, Zhaoyang Lyu, Bo Dai, Wanli Ouyang, Yongshun Gong
This generator aggregates the features extracted by the backbone and employs them as the condition to guide the point-to-point recovery from the noisy point cloud, thereby assisting the backbone in capturing both local and global geometric priors as well as the global point density distribution of the object.
1 code implementation • 29 Aug 2023 • Xinqi Lin, Jingwen He, Ziyan Chen, Zhaoyang Lyu, Bo Dai, Fanghua Yu, Wanli Ouyang, Yu Qiao, Chao Dong
We present DiffBIR, a general restoration pipeline that could handle different blind image restoration tasks in a unified framework.
Ranked #1 on Blind Face Restoration on LFW
no code implementations • 18 Aug 2023 • Xudong Xu, Zhaoyang Lyu, Xingang Pan, Bo Dai
In this work, we propose Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR (\textbf{MATLABER}) that leverages a novel latent BRDF auto-encoder for material generation.
no code implementations • CVPR 2023 • Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, Bo Dai
Besides, we devise hierarchical guidance and patch-based methods, enabling the GDP to generate images of arbitrary resolutions.
no code implementations • CVPR 2023 • Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya zhang, Dahua Lin, Bo Dai
In this work, we design a novel sparse latent point diffusion model for mesh generation.
2 code implementations • 30 May 2022 • Jinyi Wang, Zhaoyang Lyu, Dahua Lin, Bo Dai, Hongfei Fu
In this paper, we propose a novel purification approach, referred to as guided diffusion model for purification (GDMP), to help protect classifiers from adversarial attacks.
1 code implementation • 25 May 2022 • Zhaoyang Lyu, Xudong Xu, Ceyuan Yang, Dahua Lin, Bo Dai
By modeling the reverse process of gradually diffusing the data distribution into a Gaussian distribution, generating a sample in DDPMs can be regarded as iteratively denoising a randomly sampled Gaussian noise.
1 code implementation • ICLR 2022 • Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin
The RFNet refines the coarse output of the CGNet and further improves quality of the completed point cloud.
1 code implementation • CVPR 2021 • Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin
Recent works have shown that interval bound propagation (IBP) can be used to train verifiably robust neural networks.
1 code implementation • 2 Dec 2019 • Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
We draw inspiration from such work and further demonstrate the optimality of deterministic CROWN (Zhang et al. 2018) solutions in a given linear programming problem under mild constraints.
2 code implementations • 17 May 2019 • Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin
The vulnerability to adversarial attacks has been a critical issue for deep neural networks.