Neural Networks as an Alternative to Photogrammetry. Using Instant NeRF and Volumetric Rendering
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36155-5_30
Reference12 articles.
1. Lombardi, S. et al.: Neural Volumes: Learning dynamic Renderable Volumes from Images. Association for Computing Machinery Trans Graph 38, New York, NY, USA (2019)
2. Tewari, A. et al.: State of the Art on Neural Rendering, Computer Graphics Forum. Wiley, Chichester, United Kingdom (2020)
3. Park, K. et al.: Nerfies: Deformable Neural Radiance Fields. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 5865–5874 (2021)
4. Martin-Brualla, R. et al.: NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. Computing Research Repository (2020)
5. Mildenhall, B. et al.: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. Computing Research Repository (2020)
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