| Learning to predict 3d objects with an interpolation-based differentiable renderer W Chen, H Ling, J Gao, E Smith, J Lehtinen, A Jacobson, S Fidler Advances in neural information processing systems 32, 2019 | 422 | 2019 |
| 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 | 419 | 2022 |
| 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 | 347 | 2022 |
| Synthesizing training images for boosting human 3d pose estimation W Chen, H Wang, Y Li, H Su, Z Wang, C Tu, D Lischinski, D Cohen-Or, ... 2016 Fourth International Conference on 3D Vision (3DV), 479-488, 2016 | 346 | 2016 |
| Fast interactive object annotation with curve-gcn H Ling, J Gao, A Kar, W Chen, S Fidler Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 313 | 2019 |
| Learning deformable tetrahedral meshes for 3d reconstruction J Gao, W Chen, T Xiang, A Jacobson, M McGuire, S Fidler Advances in neural information processing systems 33, 9936-9947, 2020 | 116 | 2020 |
| Learned feature embeddings for non-line-of-sight imaging and recognition W Chen, F Wei, KN Kutulakos, S Rusinkiewicz, F Heide ACM Transactions on Graphics (ToG) 39 (6), 1-18, 2020 | 90 | 2020 |
| Steady-state non-line-of-sight imaging W Chen, S Daneau, F Mannan, F Heide Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 86 | 2019 |
| Flexible Isosurface Extraction for Gradient-Based Mesh Optimization. T Shen, J Munkberg, J Hasselgren, K Yin, Z Wang, W Chen, Z Gojcic, ... ACM Trans. Graph. 42 (4), 37:1-37:16, 2023 | 68 | 2023 |
| 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 | 66 | 2023 |
| Kaolin: A pytorch library for accelerating 3d deep learning research KM Jatavallabhula, E Smith, JF Lafleche, CF Tsang, A Rozantsev, ... arXiv preprint arXiv:1911.05063, 2019 | 64 | 2019 |
| DIB-R++: learning to predict lighting and material with a hybrid differentiable renderer W Chen, J Litalien, J Gao, Z Wang, C Fuji Tsang, S Khamis, O Litany, ... Advances in Neural Information Processing Systems 34, 22834-22848, 2021 | 60 | 2021 |
| Optimal structured light a la carte P Mirdehghan, W Chen, KN Kutulakos Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 52 | 2018 |
| 4d gaussian splatting: Towards efficient novel view synthesis for dynamic scenes Y Duan, F Wei, Q Dai, Y He, W Chen, B Chen arXiv preprint arXiv:2402.03307, 2024 | 36* | 2024 |
| Humangen: Generating human radiance fields with explicit priors S Jiang, H Jiang, Z Wang, H Luo, W Chen, L Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 34 | 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, ... | 34 | 2022 |
| Neural light field estimation for street scenes with differentiable virtual object insertion Z Wang, W Chen, D Acuna, J Kautz, S Fidler European Conference on Computer Vision, 380-397, 2022 | 32 | 2022 |
| Auto-tuning structured light by optical stochastic gradient descent W Chen, P Mirdehghan, S Fidler, KN Kutulakos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 28 | 2020 |
| Hallucinating stereoscopy from a single image Q Zeng, W Chen, H Wang, C Tu, D Cohen‐Or, D Lischinski, B Chen Computer Graphics Forum 34 (2), 1-12, 2015 | 21 | 2015 |
| Kaolin: A pytorch library for accelerating 3d deep learning research J Krishna Murthy, E Smith, JF Lafleche, CF Tsang, A Rozantsev, W Chen, ... arXiv preprint arXiv:1911.05063 1, 2019 | 19 | 2019 |
Sanja FidlerUniversity of Toronto, NVIDIABestätigte E-Mail-Adresse bei cs.toronto.edu
