| Get3d: A generative model of high quality 3d textured shapes learned from images J Gao, T Shen, Z Wang, W Chen, K Yin, D Li, O Litany, Z Gojcic, S Fidler Advances In Neural Information Processing Systems 35, 31841-31854, 2022 | 455 | 2022 |
| Deep marching tetrahedra: a hybrid representation for high-resolution 3d shape synthesis T Shen, J Gao, K Yin, MY Liu, S Fidler Advances in Neural Information Processing Systems 34, 6087-6101, 2021 | 449 | 2021 |
| Extracting triangular 3d models, materials, and lighting from images J Munkberg, J Hasselgren, T Shen, J Gao, W Chen, A Evans, T Müller, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 375 | 2022 |
| Neural fields meet explicit geometric representations for inverse rendering of urban scenes Z Wang, T Shen, J Gao, S Huang, J Munkberg, J Hasselgren, Z Gojcic, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 81 | 2023 |
| Flexible isosurface extraction for gradient-based mesh optimization T Shen, J Munkberg, J Hasselgren, K Yin, Z Wang, W Chen, Z Gojcic, ... ACM Transactions on Graphics (TOG) 42 (4), 1-16, 2023 | 78 | 2023 |
| Adaptive shells for efficient neural radiance field rendering Z Wang, T Shen, M Nimier-David, N Sharp, J Gao, A Keller, S Fidler, ... arXiv preprint arXiv:2311.10091, 2023 | 58 | 2023 |
| Gavriel State, Jason Gorski, Tommy Xiang, Jianing Li, Michael Li, and Rev Lebaredian. Kaolin: A pytorch library for accelerating 3d deep learning research CF Tsang, M Shugrina, JF Lafleche, T Takikawa, J Wang, C Loop, ... | 35 | 2022 |
| Zeus: A system description of the two‐time winner of the collegiate SAE autodrive competition K Burnett, J Qian, X Du, L Liu, DJ Yoon, T Shen, S Sun, S Samavi, ... Journal of Field Robotics 38 (1), 139-166, 2021 | 29 | 2021 |
| Kaolin: A pytorch library for accelerating 3d deep learning research CF Tsang, M Shugrina, JF Lafleche, T Takikawa, J Wang, C Loop, ... Kaolin: A pytorch library for accelerating 3d deep learning research, 2022 | 16 | 2022 |
| Interactive annotation of 3D object geometry using 2D scribbles T Shen, J Gao, A Kar, S Fidler Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 14 | 2020 |
| Generating textured meshes using one or more neural networks J Gao, T Shen, Z Gojcic, W Chen, Z Wang, D Li, O Litany, S Fidler US Patent App. 17/895,793, 2024 | 2 | 2024 |
| SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes T Shen, Z Li, M Law, M Atzmon, S Fidler, J Lucas, J Gao, N Sharp SIGGRAPH Asia 2024 Conference Papers, 1-11, 2024 | 1 | 2024 |
| InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models Y Lu, X Ren, J Yang, T Shen, Z Wu, J Gao, Y Wang, S Chen, M Chen, ... arXiv preprint arXiv:2412.03934, 2024 | | 2024 |
| Neurally Integrated Finite Elements for Differentiable Elasticity on Evolving Domains G Daviet, T Shen, N Sharp, DIW Levin arXiv preprint arXiv:2410.09417, 2024 | | 2024 |
| Synthesizing high resolution 3d shapes from lower resolution representations for synthetic data generation systems and applications T Shen, J Gao, K Yin, MY Liu, S Fidler US Patent App. 18/662,020, 2024 | | 2024 |
| Synthesizing high resolution 3D shapes from lower resolution representations for synthetic data generation systems and applications T Shen, J Gao, K Yin, MY Liu, S Fidler US Patent 11,983,815, 2024 | | 2024 |
| Extracting triangular 3-D models, materials, and lighting from images CJ Munkberg, JNT Hasselgren, T Shen, J Gao, W Chen, AJB Evans, ... US Patent 11,967,024, 2024 | | 2024 |
Jun GaoUniversity of Toronto, NVIDIAVerifisert e-postadresse på cs.toronto.edu
