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Learning Resources
PotatoPalooza edited this page Jun 8, 2022
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A collection of learning resources for NeRF-or-Nothing.
- A Gentle Introduction
- Original NeRF project
- Great video explanation by Yannic Kilcher
- NeRF Explosion 2020
- NeRF example and code walk through in Keras
- Building a NeRF from scratch in pytorch
- https://paperswithcode.com/method/nerf
- https://github.com/visonpon/New-View-Synthesis
- https://github.com/yenchenlin/awesome-NeRF (slightly out of date)
- Original paper
- NVIDIA paper with massive performance increases of 1000X over the original paper, however, it is not-fully open source software 👎
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Explanation - Use pretrianed Visual Transformers (Vit) to aid with estimating camera pose to create NeRFs with as little as 1-8 views vs 20-100 for the original NeRF.
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis - Replacing the MLP (Neural Network) with a voxel representation for faster convergence.
Direct Voxel Grid Optimization Super-fast Convergence for Radiance Fields Reconstruction
Right now the plan is to create an API to potentially integrate multiple NeRF back ends into the web server. Research is being done into which NeRF method will be fast enough
This project will use Flask with python for the web server