| Lift3d: Synthesize 3d training data by lifting 2d gan to 3d generative radiance field L Li, Q Lian, L Wang, N Ma, YC Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Denoising Diffusion Step-aware Models S Yang, Y Chen, L Wang, S Liu, Y Chen arXiv preprint arXiv:2310.03337, 2023 | 3 | 2023 |
| Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation L Wang, S Yang, S Liu, Y Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| Decompose and Realign: Tackling Condition Misalignment in Text-to-Image Diffusion Models L Wang, G Shen, Y Li, Y Chen arXiv preprint arXiv:2306.14408, 2023 | 2 | 2023 |
| Motion Inversion for Video Customization L Wang, G Shen, Y Liang, X Tao, P Wan, D Zhang, Y Li, Y Chen arXiv preprint arXiv:2403.20193, 2024 | | 2024 |
| Supplementary Materials for “Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field” L Li, Q Lian, L Wang, N Ma, YC Chen | | |
Ying-Cong ChenHong Kong University of Science and Technology (Guangzhou)Verified email at ust.hk
