“Spectral Periodic Networks for Neural Rendering” by Paz, Novello and Velho
Conference:
Type(s):
Title:
- Spectral Periodic Networks for Neural Rendering
Session/Category Title: Images, Video & Computer Vision
Presenter(s)/Author(s):
Abstract:
We use deep sinusoidal neural networks to represent periodic images in multi-resolution and to optimize non-tileable patches of textures, creating periodic material textures from them.
References:
[1]
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng. 2020. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. In ECCV.
[2]
Tiago Novello. 2022. Understanding Sinusoidal Neural Networks. arXiv preprint arXiv:2212.01833 (2022).
[3]
Hallison Paz, Tiago Novello, Vinicius Silva, Guilherme Schardong, Luiz Schirmer, Fabio Chagas, Helio Lopes, and Luiz Velho. 2022. Multiresolution Neural Networks for Imaging. In 2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), Vol. 1. 174?179. https://doi.org/10.1109/SIBGRAPI55357.2022.9991765
[4]
Hallison Paz, Daniel Perazzo, Tiago Novello, Guilherme Schardong, Luiz Schirmer, Vinicius da Silva, Daniel Yukimura, Fabio Chagas, Helio Lopes, and Luiz Velho. 2023. MR-Net: Multiresolution sinusoidal neural networks. Computers & Graphics (2023).
[5]
Daniel Perazzo, Joao Paulo Lima, Luiz Velho, and Veronica Teichrieb. 2022. DirectVoxGO++: Fast Neural Radiance Fields for Object Reconstruction. In Proceedings of SIBGRAPI.
[6]
Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, and Georgia Gkioxari. 2020. Accelerating 3D Deep Learning with PyTorch3D. arXiv:2007.08501 (2020).
[7]
Vincent Sitzmann, Julien N.P. Martel, Alexander W. Bergman, David B. Lindell, and Gordon Wetzstein. 2020. Implicit Neural Representations with Periodic Activation Functions. In Proc. NeurIPS.
[8]
Gizem Y?ce, Guillermo Ortiz-Jim?nez, Beril Besbinar, and Pascal Frossard. 2022. A structured dictionary perspective on implicit neural representations. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 19228?19238. https://doi.org/10.1109/CVPR52688.2022.01863
