| Generative diffusion prior for unified image restoration and enhancement B Fei, Z Lyu, L Pan, J Zhang, W Yang, T Luo, B Zhang, B Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 125 | 2023 |
| POPQORN: Quantifying robustness of recurrent neural networks CY Ko, Z Lyu, L Weng, L Daniel, N Wong, D Lin International Conference on Machine Learning, 3468-3477, 2019 | 116 | 2019 |
| A conditional point diffusion-refinement paradigm for 3d point cloud completion Z Lyu, Z Kong, X Xu, L Pan, D Lin arXiv preprint arXiv:2112.03530, 2021 | 115 | 2021 |
| Diffbir: Towards blind image restoration with generative diffusion prior X Lin, J He, Z Chen, Z Lyu, B Dai, F Yu, W Ouyang, Y Qiao, C Dong arXiv preprint arXiv:2308.15070, 2023 | 90 | 2023 |
| Accelerating diffusion models via early stop of the diffusion process Z Lyu, X Xu, C Yang, D Lin, B Dai arXiv preprint arXiv:2205.12524, 2022 | 88 | 2022 |
| Fastened crown: Tightened neural network robustness certificates Z Lyu, CY Ko, Z Kong, N Wong, D Lin, L Daniel Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5037-5044, 2020 | 69 | 2020 |
| Guided diffusion model for adversarial purification J Wang, Z Lyu, D Lin, B Dai, H Fu arXiv preprint arXiv:2205.14969, 2022 | 59 | 2022 |
| Controllable mesh generation through sparse latent point diffusion models Z Lyu, J Wang, Y An, Y Zhang, D Lin, B Dai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 30 | 2023 |
| Towards evaluating and training verifiably robust neural networks Z Lyu, M Guo, T Wu, G Xu, K Zhang, D Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 26 | 2021 |
| Matlaber: Material-aware text-to-3d via latent brdf auto-encoder X Xu, Z Lyu, X Pan, B Dai arXiv preprint arXiv:2308.09278, 2023 | 13 | 2023 |
| Point Cloud Pre-training with Diffusion Models X Zheng, X Huang, G Mei, Y Hou, Z Lyu, B Dai, W Ouyang, Y Gong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| Getmesh: A controllable model for high-quality mesh generation and manipulation Z Lyu, B Fei, J Wang, X Xu, Y Zhang, W Yang, B Dai arXiv preprint arXiv:2403.11990, 2024 | 2 | 2024 |
| Towards Evaluating and Improving the Verified Robustness of Neural Networks Z Lyu PQDT-Global, 2022 | | 2022 |
| MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR XU Xudong, Y Wang, Z Lyu, X Pan, B Dai | | |
