- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains - Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng, NeurIPS 2020
- Implicit Neural Representations with Periodic Activation Functions - Sitzmann, Vincent, et al., NeurIPS 2020
- Learned Initializations for Optimizing Coordinate-Based Neural Representations - Matthew Tancik, Ben Mildenhall, Terrance Wang, Divi Schmidt, Pratul P. Srinivasan, Jonathan T. Barron, Ren Ng, CVPR 2021
- Transformers as Meta-Learners for Implicit Neural Representations - Yinbo Chen, Xiaolong Wang, European Conference on Computer Vision 2022
- SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations - Sharath Girish, Abhinav Shrivastava, Kamal Gupta, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), October 2023, Pages 17513-17524
- SHACIRA with Full Supplmentary Material - Sharath Girish, Abhinav Shrivastava, Kamal Gupta, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), October 2023, Pages 17513-17524
- Instant Neural Graphics Primitives with a Multiresolution Hash Encoding - Thomas Müller, Alex Evans, Christoph Schied, Alexander Keller, ACM Transactions on Graphics (TOG), Volume 41, Number 4, July 2022, Article 102, Pages 102:1-102:15