| Magic3d: High-resolution text-to-3d content creation CH Lin, J Gao, L Tang, T Takikawa, X Zeng, X Huang, K Kreis, S Fidler, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 2023 | 1293 | 2023 |
| Barf: Bundle-adjusting neural radiance fields CH Lin, WC Ma, A Torralba, S Lucey IEEE International Conference on Computer Vision (ICCV), 2021, 2021 | 842 | 2021 |
| St-gan: Spatial transformer generative adversarial networks for image compositing CH Lin, E Yumer, O Wang, E Shechtman, S Lucey IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, 2018 | 518 | 2018 |
| Learning efficient point cloud generation for dense 3d object reconstruction CH Lin, C Kong, S Lucey AAAI Conference on Artificial Intelligence (AAAI), 2018, 2018 | 507 | 2018 |
| Neuralangelo: High-fidelity neural surface reconstruction Z Li, T Müller, A Evans, RH Taylor, M Unberath, MY Liu, CH Lin IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 2023 | 471 | 2023 |
| Inverse compositional spatial transformer networks CH Lin, S Lucey IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017 | 185 | 2017 |
| Sdf-srn: Learning signed distance 3d object reconstruction from static images CH Lin, C Wang, S Lucey Advances in Neural Information Processing Systems (NeurIPS), 2020, 2020 | 115 | 2020 |
| Photometric mesh optimization for video-aligned 3d object reconstruction CH Lin, O Wang, BC Russell, E Shechtman, VG Kim, M Fisher, S Lucey IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, 2019 | 92 | 2019 |
| Att3d: Amortized text-to-3d object synthesis J Lorraine, K Xie, X Zeng, CH Lin, T Takikawa, N Sharp, TY Lin, MY Liu, ... IEEE International Conference on Computer Vision (ICCV), 2023, 2023 | 88 | 2023 |
| Cosmos World Foundation Model Platform for Physical AI NVIDIA, N Agarwal, A Ali, M Bala, Y Balaji, E Barker, T Cai, ... arXiv preprint arXiv:2501.03575, 2025 | 87* | 2025 |
| Image composites using a generative adversarial neural network E Shechtman, O Wang, M Yumer, CH Lin US Patent 10,719,742, 2020 | 87 | 2020 |
| Using locally corresponding cad models for dense 3d reconstructions from a single image C Kong, CH Lin, S Lucey IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017 | 75 | 2017 |
| Deep-LK for efficient adaptive object tracking C Wang, HK Galoogahi, CH Lin, S Lucey IEEE International Conference on Robotics and Automation (ICRA), 2018, 2018 | 51 | 2018 |
| Deep nrsfm++: Towards unsupervised 2d-3d lifting in the wild C Wang, CH Lin, S Lucey IEEE International Conference on 3D Vision (3DV), 2020, 2020 | 30* | 2020 |
| Object-centric photometric bundle adjustment with deep shape prior R Zhu, C Wang, CH Lin, Z Wang, S Lucey IEEE Winter Conference on Applications of Computer Vision (WACV), 2018, 2018 | 21 | 2018 |
| The conditional lucas & kanade algorithm CH Lin, R Zhu, S Lucey European Conference on Computer Vision (ECCV), 2016, 2016 | 21 | 2016 |
| 3D object reconstruction using photometric mesh representation O Wang, V Kim, M Fisher, E Shechtman, CH Lin, B Russell US Patent 10,769,848, 2020 | 14 | 2020 |
| Genusd: 3d scene generation made easy TY Lin, CH Lin, Y Cui, Y Ge, S Nah, A Mallya, Z Hao, Y Ding, H Mao, Z Li, ... ACM SIGGRAPH 2024 Real-Time Live!, 1-2, 2024 | 7 | 2024 |
| Semantic photometric bundle adjustment on natural sequences R Zhu, C Wang, CH Lin, Z Wang, S Lucey arXiv preprint arXiv:1712.00110, 2017 | 6 | 2017 |
| Edify 3d: Scalable high-quality 3d asset generation NVIDIA, M Bala, Y Cui, Y Ding, Y Ge, Z Hao, J Hasselgren, J Huffman, ... arXiv preprint arXiv:2411.07135, 2024 | 4 | 2024 |
Simon LuceyDirector, Australian Institute for Machine Learning (AIML) + CommBank AI ScholarVerified email at adelaide.edu