{"id":20857830,"url":"https://github.com/zju3dv/deltar","last_synced_at":"2025-05-12T08:31:06.097Z","repository":{"id":62825590,"uuid":"519813305","full_name":"zju3dv/deltar","owner":"zju3dv","description":"Code for \"DELTAR: Depth Estimation from a Light-weight ToF Sensor And RGB Image\", ECCV 2022","archived":false,"fork":false,"pushed_at":"2023-06-14T03:35:42.000Z","size":167,"stargazers_count":93,"open_issues_count":1,"forks_count":5,"subscribers_count":17,"default_branch":"main","last_synced_at":"2023-07-26T05:58:15.318Z","etag":null,"topics":["depth-estimation","tof-sensors"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","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","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-07-31T15:26:18.000Z","updated_at":"2023-07-22T02:21:44.000Z","dependencies_parsed_at":"2023-02-17T13:31:17.147Z","dependency_job_id":null,"html_url":"https://github.com/zju3dv/deltar","commit_stats":null,"previous_names":[],"tags_count":0,"template":null,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zju3dv%2Fdeltar","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zju3dv%2Fdeltar/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zju3dv%2Fdeltar/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zju3dv%2Fdeltar/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zju3dv","download_url":"https://codeload.github.com/zju3dv/deltar/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225130810,"owners_count":17425506,"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":["depth-estimation","tof-sensors"],"created_at":"2024-11-18T04:43:22.068Z","updated_at":"2024-11-18T04:43:22.840Z","avatar_url":"https://github.com/zju3dv.png","language":"Python","readme":"# DELTAR: Depth Estimation from a Light-weight ToF Sensor And RGB Image\n### [Project Page](https://zju3dv.github.io/deltar/) | [Paper](https://arxiv.org/pdf/2209.13362.pdf)\n\u003cbr/\u003e\n\n\u003e DELTAR: Depth Estimation from a Light-weight ToF Sensor And RGB Image  \n\u003e [Yijin Li](https://github.com/eugenelyj), [Xinyang Liu](https://github.com/QsingHuan), [Wenqi Dong](https://github.com/wqdong8), [Han Zhou](https://github.com/asdiuzd), [Hujun Bao](http://www.cad.zju.edu.cn/home/bao), [Guofeng Zhang](http://www.cad.zju.edu.cn/home/gfzhang), [Yinda Zhang](https://www.zhangyinda.com), [Zhaopeng Cui](https://zhpcui.github.io)  \n\u003e ECCV 2022\n\n![Demo Video](https://github.com/eugenelyj/open_access_assets/raw/master/deltar/comp_realsense_short.gif)\n\n\n## Download Link\n\nWe provide the download link [[google drive](https://drive.google.com/drive/folders/1ZGUdagrmFDr90Lm6qG1FkbZR_Tgpmr64?usp=share_link), [baidu](https://pan.baidu.com/s/13qoVoZejiRzmoJGkFJdh0w?pwd=1i11)(code: 1i11)] to\n  - pretrained model trained on NYU.\n  - ZJUL5 dataset.\n  - demo data.\n\n\n## Run DELTAR\n\n### Installation\n```bash\nconda create --name deltar --file requirements.txt\n```\n\n### Prepare the data and pretrained model\nDownload from the above link, and place the data and model as below: \n\n\n```\ndeltar\n├── data\n│   ├── demo\n│   └── ZJUL5\n└── weights\n    └── nyu.pt\n```\n\n### Evaluate on ZJUL5 dataset\n\n```bash\npython evaluate.py configs/test_zjuL5.txt\n```\n\n### Run the demo\n\n```bash\npython evaluate.py configs/test_demo.txt\npython scripts/make_gif.py --data_folder data/demo/room --pred_folder tmp/room\n```\n\n\n## Citation\n\nIf you find this code useful for your research, please use the following BibTeX entry.\n\n```bibtex\n@article{deltar,\n  title={DELTAR: Depth Estimation from a Light-weight ToF Sensor and RGB Image},\n  author={Li Yijin and Liu Xinyang and Dong Wenqi and Zhou han and Bao Hujun and Zhang Guofeng and Zhang Yinda and Cui Zhaopeng},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2022}\n}\n```\n\n## Acknowledgements\n\nWe would like to thank the authors of [Adabins](https://github.com/shariqfarooq123/AdaBins), [LoFTR](https://github.com/zju3dv/LoFTR) and [Twins](https://github.com/Meituan-AutoML/Twins) for open-sourcing their projects.\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzju3dv%2Fdeltar","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzju3dv%2Fdeltar","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzju3dv%2Fdeltar/lists"}