| Perceptual extreme super-resolution network with receptive field block T Shang, Q Dai, S Zhu, T Yang, Y Guo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 96 | 2020 |
| Ntire 2020 challenge on perceptual extreme super-resolution: Methods and results K Zhang, S Gu, R Timofte Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 58 | 2020 |
| Blockfusion: Expandable 3d scene generation using latent tri-plane extrapolation Z Wu, Y Li, H Yan, T Shang, W Sun, S Wang, R Cui, W Liu, H Sato, H Li, ... arXiv preprint arXiv:2401.17053, 2024 | 5 | 2024 |
| Mime-knn: improve knn classifier performance include classification accuracy and time consumption T Shang, X Xia, J Zheng DEStech Transactions on Computer Science and Engineering, 2018 | 4 | 2018 |
| Neusdfusion: A spatial-aware generative model for 3d shape completion, reconstruction, and generation R Cui, W Liu, W Sun, S Wang, T Shang, Y Li, X Song, H Yan, Z Wu, ... arXiv preprint arXiv:2403.18241, 2024 | 2 | 2024 |
| Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane H Yan, Y Li, Z Wu, S Chen, W Sun, T Shang, W Liu, T Chen, X Dai, C Ma, ... arXiv preprint arXiv:2403.16210, 2024 | 1 | 2024 |
| LAM3D: Large Image-Point-Cloud Alignment Model for 3D Reconstruction from Single Image R Cui, X Song, W Sun, S Wang, W Liu, S Chen, T Shang, Y Li, N Barnes, ... arXiv preprint arXiv:2405.15622, 2024 | | 2024 |
