{"id":19137502,"url":"https://github.com/dsaurus/nerf-test","last_synced_at":"2025-09-08T20:32:01.095Z","repository":{"id":43896305,"uuid":"323935074","full_name":"DSaurus/NERF-test","owner":"DSaurus","description":null,"archived":false,"fork":false,"pushed_at":"2021-12-27T15:54:03.000Z","size":363,"stargazers_count":4,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-09T06:25:13.737Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DSaurus.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-12-23T15:19:07.000Z","updated_at":"2024-07-14T11:03:16.000Z","dependencies_parsed_at":"2022-08-28T18:33:01.676Z","dependency_job_id":null,"html_url":"https://github.com/DSaurus/NERF-test","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/DSaurus/NERF-test","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DSaurus%2FNERF-test","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DSaurus%2FNERF-test/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DSaurus%2FNERF-test/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DSaurus%2FNERF-test/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DSaurus","download_url":"https://codeload.github.com/DSaurus/NERF-test/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DSaurus%2FNERF-test/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274231510,"owners_count":25245600,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-08T02:00:09.813Z","response_time":121,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-09T06:38:36.517Z","updated_at":"2025-09-08T20:32:00.718Z","avatar_url":"https://github.com/DSaurus.png","language":"Python","readme":"# NeRF-pytorch\n\n\n[NeRF](http://www.matthewtancik.com/nerf) (Neural Radiance Fields) is a method that achieves state-of-the-art results for synthesizing novel views of complex scenes. Here are some videos generated by this repository (pre-trained models are provided below):\n\n![](https://user-images.githubusercontent.com/7057863/78472232-cf374a00-7769-11ea-8871-0bc710951839.gif)\n![](https://user-images.githubusercontent.com/7057863/78472235-d1010d80-7769-11ea-9be9-51365180e063.gif)\n\nThis project is a faithful PyTorch implementation of [NeRF](http://www.matthewtancik.com/nerf) that **reproduces** the results while running **1.3 times faster**. The code is based on authors' Tensorflow implementation [here](https://github.com/bmild/nerf), and has been tested to match it numerically. \n\n## Installation\n\n```\ncd nerf-pytorch\npip install -r requirements.txt\ncd torchsearchsorted\npip install .\ncd ../\n```\n\n\u003cdetails\u003e\n  \u003csummary\u003e Dependencies (click to expand) \u003c/summary\u003e\n  \n  ## Dependencies\n  - PyTorch 1.4\n  - matplotlib\n  - numpy\n  - imageio\n  - imageio-ffmpeg\n  - configargparse\n  \n\u003c/details\u003e\n\n## How To Run?\n\n### Quick Start\n\nTo train a `multihuman` NeRF:\n```\npython run_nerf.py --config configs/multihuman.txt\n```\n\nTo test the NeRF by rendering test dataset:\n```\npython run_nerf.py --config configs/multihuman.txt --render_only --render_test\n```\n---\n## Method\n\n[NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis](http://tancik.com/nerf)  \n [Ben Mildenhall](https://people.eecs.berkeley.edu/~bmild/)\\*\u003csup\u003e1\u003c/sup\u003e,\n [Pratul P. Srinivasan](https://people.eecs.berkeley.edu/~pratul/)\\*\u003csup\u003e1\u003c/sup\u003e,\n [Matthew Tancik](http://tancik.com/)\\*\u003csup\u003e1\u003c/sup\u003e,\n [Jonathan T. Barron](http://jonbarron.info/)\u003csup\u003e2\u003c/sup\u003e,\n [Ravi Ramamoorthi](http://cseweb.ucsd.edu/~ravir/)\u003csup\u003e3\u003c/sup\u003e,\n [Ren Ng](https://www2.eecs.berkeley.edu/Faculty/Homepages/yirenng.html)\u003csup\u003e1\u003c/sup\u003e \u003cbr\u003e\n \u003csup\u003e1\u003c/sup\u003eUC Berkeley, \u003csup\u003e2\u003c/sup\u003eGoogle Research, \u003csup\u003e3\u003c/sup\u003eUC San Diego  \n  \\*denotes equal contribution  \n  \n\u003cimg src='imgs/pipeline.jpg'/\u003e\n\n\u003e A neural radiance field is a simple fully connected network (weights are ~5MB) trained to reproduce input views of a single scene using a rendering loss. The network directly maps from spatial location and viewing direction (5D input) to color and opacity (4D output), acting as the \"volume\" so we can use volume rendering to differentiably render new views\n\n\n## Citation\nKudos to the authors for their amazing results:\n```\n@misc{mildenhall2020nerf,\n    title={NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis},\n    author={Ben Mildenhall and Pratul P. Srinivasan and Matthew Tancik and Jonathan T. Barron and Ravi Ramamoorthi and Ren Ng},\n    year={2020},\n    eprint={2003.08934},\n    archivePrefix={arXiv},\n    primaryClass={cs.CV}\n}\n```\n\nHowever, if you find this implementation or pre-trained models helpful, please consider to cite:\n```\n@software{pytorchnerf2020github,\n  author = {Yen-Chen, Lin},\n  title = {{PyTorchNeRF}: a {PyTorch} implementation of {NeRF}},\n  url = {https://github.com/yenchenlin/nerf-pytorch/},\n  version = {0.0},\n  year = {2020},\n}\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdsaurus%2Fnerf-test","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdsaurus%2Fnerf-test","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdsaurus%2Fnerf-test/lists"}