├── 5e700ef6067b43821ed52768_pipeline_website-01-p-800.png ├── LICENSE └── README.md /5e700ef6067b43821ed52768_pipeline_website-01-p-800.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CedricGuillemet/NeRF/HEAD/5e700ef6067b43821ed52768_pipeline_website-01-p-800.png -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2023 Cedric Guillemet 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # NeRF 2 | Collection of resources around NeRF. From total noob to recently released papers. 3 | ![Taken from Representing Scenes as Neural Radiance Fields for View Synthesis](5e700ef6067b43821ed52768_pipeline_website-01-p-800.png) 4 | This repo aims at giving a view of all actors and technics around NeRF: papers, repo, people, companies, etc 5 | PR accepted! 6 | ## Collections / curated lists 7 | 8 | A curated list of awesome scene representation(NeRFs) papers, code, and resources. 9 | https://github.com/pixel-alex/awesome-scene-representation 10 | 11 | A repo collating papers and other material related to neural radiance fields (NeRFs), neural scene representations and associated works with a focus towards applications in robotics. 12 | https://github.com/RoboticImaging/neural_fields_for_robotics_resources 13 | 14 | Awesome NeRF (Huge collection) 15 | https://github.com/awesome-NeRF/awesome-NeRF 16 | 17 | ## Videos 18 | 19 | Why THIS is the Future of Imagery. Introduction video made my VFX artists. 20 | https://www.youtube.com/watch?v=YX5AoaWrowY 21 | 22 | Understanding and Extending Neural Radiance Fields. High level explanation from 2D neural representation to 3D 23 | https://www.youtube.com/watch?v=HfJpQCBTqZs 24 | 25 | ## Papers 26 | 27 | Neural Radiance Fields for Unconstrained Photo Collections 28 | https://nerf-w.github.io/ 29 | 30 | 3D Gaussian Splatting for Real-Time Radiance Field Rendering 31 | https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/ 32 | 33 | Random-Access Neural Compression of Material Textures 34 | https://research.nvidia.com/labs/rtr/neural_texture_compression/ 35 | Associated Twitter thread here : https://twitter.com/BartWronsk/status/1653445678268575744 36 | 37 | NeRF - Representing Scenes as Neural Radiance Fields for View Synthesis (2020) 38 | https://www.matthewtancik.com/nerf 39 | 40 | Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields 41 | https://jonbarron.info/zipnerf/ 42 | 43 | Multi-Space Neural Radiance Fields 44 | https://zx-yin.github.io/msnerf/ 45 | 46 | HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion 47 | https://synthesiaresearch.github.io/humanrf/ 48 | 49 | Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields 50 | https://eckertzhang.github.io/Text2NeRF.github.io/?s=03 51 | 52 | NeRF-Texture: Texture Synthesis with Neural Radiance Fields 53 | https://yihua7.github.io/NeRF-Texture-web/ 54 | 55 | ## Code/Repos 56 | 57 | a pytorch implementation for the paper: TensoRF: Tensorial Radiance Fields. Our work present a novel approach to model and reconstruct radiance fields, which achieves super fast training process, compact memory footprint and state-of-the-art rendering quality. 58 | https://github.com/grgkopanas/TensoRF 59 | 60 | NeRF++: Analyzing and Improving Neural Radiance Fields 61 | https://github.com/grgkopanas/nerfplusplus 62 | 63 | Instant Neural Graphics Primitives with a Multiresolution Hash Encoding 64 | https://github.com/NVlabs/instant-ngp 65 | Related paper here : https://nvlabs.github.io/instant-ngp/assets/mueller2022instant.pdf 66 | 67 | ## People 68 | 69 | Jon Barron, a senior staff research scientist at Google Research in San Francisco. 70 | https://jonbarron.info/ 71 | 72 | ## Companies 73 | 74 | Luma AI - NeRF mobile capture app 75 | https://lumalabs.ai/ 76 | 77 | ## Audio NeRF 78 | 79 | In audio processing, this technique has been applied to acoustic and head-related transfer function interpolation. 80 | https://arxiv.org/abs/2305.04447 81 | --------------------------------------------------------------------------------