https://github.com/snap-research/R2L

[ECCV 2022] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
https://github.com/snap-research/R2L

deep-learning distillation mlp nerf neural-light-field novel-view-synthesis rendering

Last synced: about 22 hours ago
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[ECCV 2022] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis

• Host: GitHub
• URL: https://github.com/snap-research/R2L
• Owner: snap-research
• License: other
• Created: 2022-03-09T23:37:27.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-08-15T04:59:36.000Z (about 1 year ago)
• Last Synced: 2023-11-07T16:14:00.461Z (about 1 year ago)
• Topics: deep-learning, distillation, mlp, nerf, neural-light-field, novel-view-synthesis, rendering
• Language: Python
• Homepage: https://snap-research.github.io/R2L/
• Size: 71.2 MB
• Stars: 173
• Watchers: 15
• Forks: 21
• Open Issues: 4

Awesome Lists containing this project

• awesome-NeRF - Torch - research.github.io/R2L/)| (Papers / NeRF)
• awesome-NeRF - Torch - research.github.io/R2L/)| (Papers / NeRF)