| Dmv3d: Denoising multi-view diffusion using 3d large reconstruction model Y Xu, H Tan, F Luan, S Bi, P Wang, J Li, Z Shi, K Sunkavalli, G Wetzstein, ... arXiv preprint arXiv:2311.09217, 2023 | 103 | 2023 |
| Grm: Large gaussian reconstruction model for efficient 3d reconstruction and generation Y Xu, Z Shi, W Yifan, H Chen, C Yang, S Peng, Y Shen, G Wetzstein arXiv preprint arXiv:2403.14621, 2024 | 69 | 2024 |
| 3d generative models: A survey Z Shi, S Peng, Y Xu, A Geiger, Y Liao, Y Shen arXiv preprint arXiv:2210.15663, 2022 | 57* | 2022 |
| Discoscene: Spatially disentangled generative radiance fields for controllable 3d-aware scene synthesis Y Xu, M Chai, Z Shi, S Peng, I Skorokhodov, A Siarohin, C Yang, Y Shen, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 55 | 2023 |
| 3d-aware indoor scene synthesis with depth priors Z Shi, Y Shen, J Zhu, DY Yeung, Q Chen European Conference on Computer Vision, 406-422, 2022 | 35 | 2022 |
| Gaussian shell maps for efficient 3d human generation R Abdal, W Yifan, Z Shi, Y Xu, R Po, Z Kuang, Q Chen, DY Yeung, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 34 | 2024 |
| Linkgan: Linking gan latents to pixels for controllable image synthesis J Zhu, C Yang, Y Shen, Z Shi, B Dai, D Zhao, Q Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 27 | 2023 |
| Learning 3d-aware image synthesis with unknown pose distribution Z Shi, Y Shen, Y Xu, S Peng, Y Liao, S Guo, Q Chen, DY Yeung Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
| Improving 3d-aware image synthesis with a geometry-aware discriminator Z Shi, Y Xu, Y Shen, D Zhao, Q Chen, DY Yeung Advances in Neural Information Processing Systems 35, 7921-7932, 2022 | 16 | 2022 |
| Neural camera simulators H Ouyang, Z Shi, C Lei, KL Law, Q Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 16 | 2021 |
| Exploring sparse moe in gans for text-conditioned image synthesis J Zhu, C Yang, K Zheng, Y Xu, Z Shi, Y Shen arXiv preprint arXiv:2309.03904, 2023 | 6 | 2023 |
| Stereo waterdrop removal with row-wise dilated attention Z Shi, N Fan, DY Yeung, Q Chen 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 6 | 2021 |
| Real-time 3d-aware portrait editing from a single image Q Bai, Z Shi, Y Xu, H Ouyang, Q Wang, C Yang, X Wang, G Wetzstein, ... European Conference on Computer Vision, 344-362, 2025 | 4 | 2025 |
| Benchmarking and analyzing 3D-aware image synthesis with a modularized codebase Q Wang, Z Shi, K Zheng, Y Xu, S Peng, Y Shen Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| GenDeF: Learning Generative Deformation Field for Video Generation W Wang, K Zheng, Q Wang, H Chen, Z Shi, C Yang, Y Shen, C Shen arXiv preprint arXiv:2312.04561, 2023 | 2 | 2023 |
| Learning Naturally Aggregated Appearance for Efficient 3D Editing KL Cheng, Q Wang, Z Shi, K Zheng, Y Xu, H Ouyang, Q Chen, Y Shen arXiv preprint arXiv:2312.06657, 2023 | | 2023 |
| GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation Supplementary Material Y Xu, Z Shi, Y Wang, H Chen, C Yang, S Peng, Y Shen, G Wetzstein | | |
| LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis Supplementary Material J Zhu, C Yang, Y Shen, Z Shi, BDDZQ Chen | | |
| DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis Supplementary Materials Y Xu, M Chai, Z Shi, S Peng, I Skorokhodov, A Siarohin, C Yang, Y Shen, ... | | |
| Learning 3D-aware Image Synthesis with Unknown Pose Distribution–Supplementary Material– Z Shi, Y Shen, Y Xu, S Peng, Y Liao, S Guo, Q Chen, DY Yeung | | |
Yujun ShenAnt GroupVerified email at link.cuhk.edu.hk
