R2L

snap-research

[ECCV 2022] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis

rendering

View on GitHub Website

192 Stars

23 Forks

192 Watchers

Python Language

other License

Cost to Build

$4.37M

Market Value

$10.23M

How is this calculated?

Growth over time

4 data points · 2022-07-01 → 2025-06-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about R2L

Question copied to clipboard

What is the snap-research/R2L GitHub project? Description: "[ECCV 2022] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone R2L

Clone via HTTPS

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

Clone via SSH

[email protected]:snap-research/R2L.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the R2L issue tracker:

Open GitHub Issues

Similar to R2L

pixijs tinyrenderer bgfx Texture rendertron webglstudio.js mapnik asm-dom rust-doom react-tv gg herebedragons tangram Glitter phenomenon appleseed ScriptableRenderPipeline Nidium Intrinsic armory PdfViewPager ShaderGraph ogre two WickedEngine Game-Programmer-Study-Notes glumpy ascii_art fauxgl react-slate