{"id":33210073,"url":"https://zju3dv.github.io/sine/","last_synced_at":"2025-11-21T05:01:47.924Z","repository":{"id":146761335,"uuid":"618006811","full_name":"zju3dv/SINE","owner":"zju3dv","description":"Code for \"Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field\", CVPR 2023","archived":false,"fork":false,"pushed_at":"2023-10-20T09:13:43.000Z","size":3009,"stargazers_count":125,"open_issues_count":6,"forks_count":2,"subscribers_count":19,"default_branch":"main","last_synced_at":"2025-10-23T20:21:29.123Z","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/zju3dv.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","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":"2023-03-23T15:03:07.000Z","updated_at":"2024-12-16T07:30:34.000Z","dependencies_parsed_at":"2024-01-18T18:25:30.366Z","dependency_job_id":"cfbae69a-b44c-4f6a-8e76-926e00edeaaa","html_url":"https://github.com/zju3dv/SINE","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/zju3dv/SINE","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zju3dv%2FSINE","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zju3dv%2FSINE/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zju3dv%2FSINE/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zju3dv%2FSINE/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zju3dv","download_url":"https://codeload.github.com/zju3dv/SINE/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zju3dv%2FSINE/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":285560043,"owners_count":27192467,"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":"2025-11-21T02:00:06.175Z","response_time":61,"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":"2025-11-16T11:00:26.468Z","updated_at":"2025-11-21T05:01:47.919Z","avatar_url":"https://github.com/zju3dv.png","language":"Python","funding_links":[],"categories":["Papers","Modeling, Sculpting \u0026 Texturing"],"sub_categories":["Material Creation Tools"],"readme":"# SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field\n\n### [Project Page](https://zju3dv.github.io/sine/) | [Video](https://www.youtube.com/watch?v=bCovxTtO7vs) | [Paper](https://github.com/chobao/open_access_assets/raw/main/sine/paper.pdf)\n\u003cdiv align=center\u003e\n\u003cimg src=\"assets/teaser.gif\" width=\"100%\"/\u003e\n\u003c/div\u003e\n\n\u003e [SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field](https://github.com/chobao/open_access_assets/raw/main/sine/paper.pdf)  \n\u003e \n\u003e [[Chong Bao](https://chobao.github.io/), [Yinda Zhang](https://www.zhangyinda.com/)\u003csup\u003eCo-Authors\u003c/sup\u003e,[Bangbang Yang](https://ybbbbt.com)\u003csup\u003eCo-Authors\u003c/sup\u003e], [Tianxing Fan](https://scholar.google.com/citations?user=siv1RXUAAAAJ\u0026hl=zh-CN), [Zesong Yang](https://github.com/YZsZY), [Hujun Bao](http://www.cad.zju.edu.cn/home/bao/),   [Guofeng Zhang](http://www.cad.zju.edu.cn/home/gfzhang/), [Zhaopeng Cui](https://zhpcui.github.io/). \n\u003e \n\u003e CVPR 2023\n\u003e \n\n⚠️ Note: This is only a preview version of the code. Full code (with training scripts) will be released soon.\n\n## Installation\nWe have tested the code on Python 3.7.0 and PyTorch 1.10.1, while a newer version of pytorch should also work.\nThe steps of installation are as follows:\n* create virtual environment: `conda create --name sine python=3.7` and activate environment\n* install required python packages by `bash install.sh`\n\n## Data\nWe provide the [poses of each dataset](https://www.dropbox.com/scl/fi/m87bm4a6cgkvymzaecj4w/data.zip?rlkey=13iv03d4blcf2cjj7uz9iasjc\u0026dl=0) for evaluation.\n\n## Evaluation\n\u003c!-- We provide [pre-trained models and configs](https://www.dropbox.com/scl/fo/c3pnb6daks5p1872xor8k/h?rlkey=rvifacsdxlp7uziiqhnlzxsg6\u0026dl=0). --\u003e\nAll the pre-trained models and configs can be found [here](https://www.dropbox.com/scl/fo/c3pnb6daks5p1872xor8k/h?rlkey=rvifacsdxlp7uziiqhnlzxsg6\u0026dl=0).\n\nYou can evaluate images with the pre-trained models. \n\n```python\npython eval.py \\\n    --config configs/texture/vasedeck_snowy.yaml \\\n    --ckpt_path checkpoints/texture/vasedeck_snowy/latest.ckpt \\\n    --split test_train \n```\n\n\n## Citing\n```\n@inproceedings{bao2023sine,\n    title={SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field},\n    author={Bao, Chong and Zhang, Yinda and Yang, Bangbang and Fan, Tianxing and Yang, Zesong and Bao, Hujun and Zhang, Guofeng and Cui, Zhaopeng},\n    booktitle={The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)},\n    year={2023}\n}\n```\n\n## Acknowledgement\nIn this project we use parts of the implementations of the following works:\n\n* [nerf_pl](https://github.com/kwea123/nerf_pl) by kwea123\n* [Splice](https://github.com/omerbt/Splice) by omerbt\n\nWe thank the respective authors for open sourcing their methods.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/zju3dv.github.io%2Fsine%2F","html_url":"https://awesome.ecosyste.ms/projects/zju3dv.github.io%2Fsine%2F","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/zju3dv.github.io%2Fsine%2F/lists"}