| Denoising diffusion step-aware models S Yang, Y Chen, L Wang, S Liu, Y Chen arXiv preprint arXiv:2310.03337, 2023 | 18 | 2023 |
| 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 | 17 | 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 | 11 | 2023 |
| Motion inversion for video customization L Wang, Z Mai, G Shen, Y Liang, X Tao, P Wan, D Zhang, Y Li, Y Chen arXiv preprint arXiv:2403.20193, 2024 | 6 | 2024 |
| Text-Anchored Score Composition: Tackling condition misalignment in text-to-image diffusion models L Wang, G Shen, W Ge, G Chen, Y Li, Y Chen arXiv preprint arXiv:2306.14408, 2023 | 4 | 2023 |
| Lucidfusion: Generating 3d gaussians with arbitrary unposed images H He, Y Liang, L Wang, Y Cai, X Xu, HX Guo, X Wen, Y Chen arXiv preprint arXiv:2410.15636, 2024 | 3 | 2024 |
| Sg-adapter: Enhancing text-to-image generation with scene graph guidance G Shen, L Wang, J Lin, W Ge, C Zhang, X Tao, Y Zhang, P Wan, Z Wang, ... arXiv preprint arXiv:2405.15321, 2024 | 3 | 2024 |
| TransPixar: Advancing Text-to-Video Generation with Transparency L Wang, Y Li, Z Chen, JH Wang, Z Zhang, H Zhang, Z Lin, Y Chen arXiv preprint arXiv:2501.03006, 2025 | | 2025 |
| Uni-Renderer: Unifying Rendering and Inverse Rendering Via Dual Stream Diffusion Z Chen, T Xu, W Ge, L Wu, D Yan, J He, L Wang, L Zeng, S Zhang, ... arXiv preprint arXiv:2412.15050, 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)Потвърден имейл адрес: ust.hk
