| Learning generative models using denoising density estimators SA Bigdeli, G Lin, LA Dunbar, T Portenier, M Zwicker IEEE Transactions on Neural Networks and Learning Systems, 2023 | 20 | 2023 |
| Learning to generate dense point clouds with textures on multiple categories T Hu, G Lin, Z Han, M Zwicker Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 13 | 2021 |
| Inverse Global Illumination using a Neural Radiometric Prior S Hadadan, G Lin, J Novák, F Rousselle, M Zwicker ACM SIGGRAPH 2023 Conference Proceedings, 1-11, 2023 | 6 | 2023 |
| OmnimatteRF: Robust Omnimatte with 3D Background Modeling G Lin, C Gao, JB Huang, C Kim, Y Wang, M Zwicker, A Saraf Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
| Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives A Hanson, A Tu, G Lin, V Singla, M Zwicker, T Goldstein arXiv preprint arXiv:2412.00578, 2024 | | 2024 |
| GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering J Wu, S Hadadan, G Lin, M Zwicker, D Jacobs, R Sengupta arXiv preprint arXiv:2403.15651, 2024 | | 2024 |
