{"id":13603291,"url":"https://github.com/lsongx/nerfplayer-nerfstudio","last_synced_at":"2025-04-11T14:30:55.691Z","repository":{"id":186844790,"uuid":"653346923","full_name":"lsongx/nerfplayer-nerfstudio","owner":"lsongx","description":null,"archived":false,"fork":false,"pushed_at":"2024-11-03T22:36:42.000Z","size":37,"stargazers_count":45,"open_issues_count":5,"forks_count":5,"subscribers_count":4,"default_branch":"main","last_synced_at":"2024-11-03T23:24:17.413Z","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":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/lsongx.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2023-06-13T22:15:51.000Z","updated_at":"2024-11-03T22:36:46.000Z","dependencies_parsed_at":"2024-01-05T00:57:57.158Z","dependency_job_id":"67bd0d0b-2c3a-40d7-ae9c-6bbe881abc3f","html_url":"https://github.com/lsongx/nerfplayer-nerfstudio","commit_stats":null,"previous_names":["lsongx/nerfplayer-nerfstudio"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lsongx%2Fnerfplayer-nerfstudio","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lsongx%2Fnerfplayer-nerfstudio/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lsongx%2Fnerfplayer-nerfstudio/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lsongx%2Fnerfplayer-nerfstudio/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lsongx","download_url":"https://codeload.github.com/lsongx/nerfplayer-nerfstudio/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248419650,"owners_count":21100214,"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","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":"2024-08-01T18:10:50.319Z","updated_at":"2025-04-11T14:30:55.668Z","avatar_url":"https://github.com/lsongx.png","language":"Python","funding_links":[],"categories":["2023"],"sub_categories":["Real"],"readme":"\u003c!-- Adapted from https://github.com/kerrj/lerf --\u003e\n\n# NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields\nThis is an nerfstudio framework based implementation for [NeRFPlayer](https://lsongx.github.io/projects/nerfplayer.html).\n\n\n[![NeRFPlayer Video](https://img.youtube.com/vi/flVqSLZWBMI/0.jpg)](https://www.youtube.com/watch?v=flVqSLZWBMI)\n\n\n# Installation\nNeRFPlayer follows the integration guidelines described [here](https://docs.nerf.studio/en/latest/developer_guides/new_methods.html) for custom methods within nerfstudio. \n### 0. Install Nerfstudio dependencies\n[Follow these instructions](https://docs.nerf.studio/en/latest/quickstart/installation.html) up to and including \"tinycudann\" to install dependencies and create an environment\n\n### 1. Clone this repo\n```git clone https://github.com/lsongx/nerfplayer-nerfstudio.git```\n\n### 2. Install this repo as a python package\nNavigate to this folder and run `python -m pip install -e .`\n\n### 3. Run `ns-install-cli`\n\n### Checking the install\nRun `ns-train -h`: you should see a list of \"subcommands\" with `nerfplayer-nerfacto` and `nerfplayer-ngp` included among them.\n\n# Using NeRFPlayer\nNow that NeRFPlayer is installed you can play with it.\n\n## Preparing data\n- Currently only [DyCheck](https://hangg7.com/dycheck/) dataset is supported.\n- Download [DyCheck data](https://drive.google.com/drive/folders/1cBw3CUKu2sWQfc_1LbFZGbpdQyTFzDEX).\n- You can capture your own scenes by following [DyCheck's guide](https://github.com/KAIR-BAIR/dycheck/blob/main/docs/RECORD3D_CAPTURE.md).\n\n## Run\n- Launch training with `ns-train nerfplayer-ngp --data \u003cdata_folder\u003e`. This specifies a data folder to use.\n    - example: `ns-train nerfplayer-ngp --data dycheck/mochi-high-five/`\n- Connect to the viewer by forwarding the viewer port, and click the link to `viewer.nerf.studio` provided in the output of the train script\n\n# Misc\n### Issues\nPlease open Github issues (under this repo, not under nerfstudio) for any installation/usage problems you run into.\n#### Known TODOs\n- [ ] Multi-camera datasets: DyNeRF, ImmersiveVideo\n- [ ] Decomposition in NeRFPlayer. Under nerfstudio's framework, we got NaN soon if a decomposition module is used.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flsongx%2Fnerfplayer-nerfstudio","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flsongx%2Fnerfplayer-nerfstudio","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flsongx%2Fnerfplayer-nerfstudio/lists"}