| 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 | 975 | 2023 |
| BARF: Bundle-Adjusting Neural Radiance Fields CH Lin, WC Ma, A Torralba, S Lucey IEEE International Conference on Computer Vision (ICCV), 2021, 2021 | 694 | 2021 |
| Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction CH Lin, C Kong, S Lucey AAAI Conference on Artificial Intelligence (AAAI), 2018, 2018 | 486 | 2018 |
| 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 | 450 | 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 | 306 | 2023 |
| Inverse Compositional Spatial Transformer Networks CH Lin, S Lucey IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017 | 179 | 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 | 105 | 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 | 84 | 2019 |
| 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 | 71 | 2017 |
| Image Composites using a Generative Adversarial Neural Network E Shechtman, O Wang, M Yumer, CH Lin US Patent 10,719,742, 2020 | 69 | 2020 |
| 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 | 64 | 2023 |
| 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 | 49 | 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 | 28* | 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 | 11 | 2020 |
| Semantic Photometric Bundle Adjustment on Natural Sequences R Zhu, C Wang, CH Lin, Z Wang, S Lucey arXiv preprint arXiv:1712.00110, 2017 | 5 | 2017 |
| 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 | 1 | 2024 |
| 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 | | 2024 |
| Neural networks to generate pixels CH Lin, Z Li, T Müller-Höhne, AJB Evans, MY Liu, AG Keller US Patent App. 17/990,614, 2024 | | 2024 |
Simon LuceyProfessor, University of AdelaideVerified email at adelaide.edu
