| DeRF: Decomposed radiance fields D Rebain, W Jiang, S Yazdani, K Li, KM Yi, A Tagliasacchi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 236 | 2021 |
| Kubric: A scalable dataset generator K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 202 | 2022 |
| LOLNeRF: Learn from One Look D Rebain, M Matthews, KM Yi, D Lagun, A Tagliasacchi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 109 | 2022 |
| Viper: Volume invariant position-based elastic rods B Angles, D Rebain, M Macklin, B Wyvill, L Barthe, J Lewis, ... Proceedings of the ACM on Computer Graphics and Interactive Techniques 2 (2 …, 2019 | 47 | 2019 |
| nerf2nerf: Pairwise Registration of Neural Radiance Fields L Goli, D Rebain, S Sabour, A Garg, A Tagliasacchi IEEE International Conference on Robotics and Automation (ICRA), 2023 | 33 | 2023 |
| Attention Beats Concatenation for Conditioning Neural Fields D Rebain, MJ Matthews, KM Yi, G Sharma, D Lagun, A Tagliasacchi arXiv preprint arXiv:2209.10684, 2022 | 26 | 2022 |
| LSMAT Least Squares Medial Axis Transform D Rebain, B Angles, J Valentin, N Vining, J Peethambaran, S Izadi, ... Computer Graphics Forum 38 (6), 5-18, 2019 | 26 | 2019 |
| Deep Medial Fields D Rebain, K Li, V Sitzmann, S Yazdani, KM Yi, A Tagliasacchi arXiv preprint arXiv:2106.03804, 2021 | 22 | 2021 |
| 3D Gaussian Splatting as Markov Chain Monte Carlo S Kheradmand, D Rebain, G Sharma, W Sun, J Tseng, H Isack, A Kar, ... arXiv preprint arXiv:2404.09591, 2024 | 17 | 2024 |
| NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds W Sun, D Rebain, R Liao, V Tankovich, S Yazdani, KM Yi, A Tagliasacchi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 14 | 2023 |
| BANF: Band-limited Neural Fields for Levels of Detail Reconstruction A Shabanov, S Govindarajan, C Reading, L Goli, D Rebain, KM Yi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Accelerating Neural Field Training via Soft Mining S Kheradmand, D Rebain, G Sharma, H Isack, A Kar, A Tagliasacchi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Volumetric Rendering with Baked Quadrature Fields G Sharma, D Rebain, KM Yi, A Tagliasacchi arXiv preprint arXiv:2312.02202, 2023 | 2 | 2023 |
| Neural Fields as Distributions: Signal Processing Beyond Euclidean Space D Rebain, S Yazdani, KM Yi, A Tagliasacchi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Lagrangian Hashing for Compressed Neural Field Representations S Govindarajan, Z Sambugaro, A Shabanov, T Takikawa, D Rebain, ... European Conference on Computer Vision, 183-199, 2025 | | 2025 |
| Neural Radiance Field Generative Modeling of Object Classes from Single Two-Dimensional Views MJ Matthews, DJ Rebain, D Lagun, A Tagliasacchi US Patent App. 18/688,278, 2024 | | 2024 |
| LSE-NeRF: Learning Sensor Modeling Errors for Deblured Neural Radiance Fields with RGB-Event Stereo WZ Tang, D Rebain, KG Derpanis, KM Yi arXiv preprint arXiv:2409.06104, 2024 | | 2024 |
| Does Gaussian Splatting need SFM Initialization? Y Foroutan, D Rebain, KM Yi, A Tagliasacchi arXiv preprint arXiv:2404.12547, 2024 | | 2024 |
| Construction of approximate medial shape representations by continuous optimization D Rebain | | 2019 |
Andrea TagliasacchiAssociate Prof, SFU; Research Scientist, Google DeepMindVerified email at google.com
