{"id":29115709,"url":"https://github.com/tub-rip/EventStereoSurvey","last_synced_at":"2025-06-29T11:13:27.837Z","repository":{"id":298160700,"uuid":"992662798","full_name":"tub-rip/EventStereoSurvey","owner":"tub-rip","description":"Survey paper and tables about stereo reconstruction with event cameras","archived":false,"fork":false,"pushed_at":"2025-06-22T12:42:02.000Z","size":996,"stargazers_count":5,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-22T13:37:08.470Z","etag":null,"topics":["3d-reconstruction","best-practices","datasets","depth-estimation","event-camera","slam","stereo","survey","visual-odometry"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/tub-rip.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-05-29T14:12:39.000Z","updated_at":"2025-06-22T12:42:05.000Z","dependencies_parsed_at":"2025-06-09T18:57:09.801Z","dependency_job_id":null,"html_url":"https://github.com/tub-rip/EventStereoSurvey","commit_stats":null,"previous_names":["tub-rip/eventstereosurvey"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/tub-rip/EventStereoSurvey","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tub-rip%2FEventStereoSurvey","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tub-rip%2FEventStereoSurvey/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tub-rip%2FEventStereoSurvey/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tub-rip%2FEventStereoSurvey/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tub-rip","download_url":"https://codeload.github.com/tub-rip/EventStereoSurvey/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tub-rip%2FEventStereoSurvey/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262581513,"owners_count":23331925,"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":["3d-reconstruction","best-practices","datasets","depth-estimation","event-camera","slam","stereo","survey","visual-odometry"],"created_at":"2025-06-29T11:13:11.691Z","updated_at":"2025-06-29T11:13:27.797Z","avatar_url":"https://github.com/tub-rip.png","language":null,"funding_links":[],"categories":["Depth Estimation"],"sub_categories":["Stereo Depth Estimation"],"readme":"[![CC BY-NC-SA 4.0][cc-by-nc-sa-shield]][cc-by-nc-sa]\n\n# Event-based Stereo Depth Estimation: A Survey\n\nOfficial repository for **Event-based Stereo Depth Estimation: A Survey**, by [Suman Ghosh](https://www.linkedin.com/in/suman-ghosh-a8762576/) and [Guillermo Gallego](http://www.guillermogallego.es), 2024.\n\u003c!--published at **XXX 2024**.--\u003e\n\u003ch2 align=\"left\"\u003e\n  \n[Paper](https://arxiv.org/pdf/2409.17680) \n| [Table of Methods](https://docs.google.com/spreadsheets/d/1DfmVXdg3H9iaLpkXNm5ygB6ald9dK0ggO0rUDXEDTXE)\n| [Table of Datasets](https://docs.google.com/spreadsheets/d/1DfmVXdg3H9iaLpkXNm5ygB6ald9dK0ggO0rUDXEDTXE/edit#gid=1539773438\u0026range=A1)\n\u003c/h2\u003e\n\n[![s](images/EventStereoSurvey_EvalTable.png)](https://docs.google.com/spreadsheets/d/1DfmVXdg3H9iaLpkXNm5ygB6ald9dK0ggO0rUDXEDTXE)\n\n\u003cbr/\u003e\u003cbr/\u003e\n[![s](images/EventStereoSurvey_Datasets.jpg)](https://docs.google.com/spreadsheets/d/1DfmVXdg3H9iaLpkXNm5ygB6ald9dK0ggO0rUDXEDTXE/edit#gid=1539773438\u0026range=A1)\n\nIf you use this work in your research, please cite it as follows:\n\n```bibtex\n@article{Ghosh24survey,\n  author = {Suman Ghosh and Guillermo Gallego},  \n  title = {Event-based Stereo Depth Estimation: A Survey},\n  journal = {(under review)},\n  year = {2024}\n}\n```\n\n# Our works on Event-based 3D Reconstruction\n\n## Stereo\n\u003c!-- Stereo Event-based Spatial AI (2025). PhD Thesis at TU Berlin. --\u003e\n* [DERD-Net: Learning Depth from Event-based Ray Densities (2025)](https://arxiv.org/pdf/2504.15863)\n* [ES-PTAM: Event-based Stereo Parallel Tracking and Mapping (ECCVW 2024)](https://github.com/tub-rip/ES-PTAM)\n* [Secrets of Event-Based Optical Flow, Depth and Ego-Motion Estimation by Contrast Maximization (TPAMI 2024). (Stereo in Sec. IV-E)](https://doi.org/10.1109/TPAMI.2024.3396116)\n* [MC-EMVS: Multi-Event-Camera Depth Estimation and Outlier Rejection by Refocused Events Fusion (AISY 2022)](https://github.com/tub-rip/dvs_mcemvs)\n* [ESVO2: Direct Visual-Inertial Odometry with Stereo Event Cameras (TRO 2025)](https://github.com/NAIL-HNU/ESVO2)\n* [ESVO: Event-based Stereo Visual Odometry (TRO 2021)](https://sites.google.com/view/esvo-project-page/home), including cleaned **Stereo Dataset**.\n* [Semi-dense 3D Reconstruction with a Stereo Event Camera (ECCV 2018)](https://rpg.ifi.uzh.ch/ECCV18_stereo_davis.html), including **Stereo Dataset**.\n\n## Monocular\n* [Secrets of Event-Based Optical Flow, Depth and Ego-Motion Estimation by Contrast Maximization (TPAMI 2024). (Monocular in Sec. IV-D)](https://doi.org/10.1109/TPAMI.2024.3396116)\n* [EDS: Event-aided Direct Sparse Odometry (CVPR 2022)](https://rpg.ifi.uzh.ch/eds.html), including **Dataset**.\n* [ESL: Event-based Structured Light (3DV 2021)](https://rpg.ifi.uzh.ch/esl.html), including **Dataset**.\n* [Focus Is All You Need: Loss Functions for Event-based Vision (CVPR 2019)](http://rpg.ifi.uzh.ch/docs/CVPR19_Gallego.pdf)\n* [A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth and Optical Flow Estimation (CVPR 2018)](http://rpg.ifi.uzh.ch/docs/CVPR18_Gallego.pdf)\n* [EVO: Event based Visual Odometry (RAL 2017)](https://github.com/uzh-rpg/rpg_dvs_evo_open/)\n* [EMVS: Event-based Multi-View Stereo (BMVC 2016, IJCV 2018)](https://github.com/uzh-rpg/rpg_emvs)\n* [Low-Latency Visual Odometry using Event-based Feature Tracks (IROS 2016)](https://youtu.be/RDu5eldW8i8)\n\n\n## Additional Resources on Event-based Vision\n* [Research page (TU Berlin, RIP lab)](https://sites.google.com/view/guillermogallego/research/event-based-vision)\n* [Course at TU Berlin](https://sites.google.com/view/guillermogallego/teaching/event-based-robot-vision)\n* [Event-based Vision: A Survey](http://rpg.ifi.uzh.ch/docs/EventVisionSurvey.pdf)\n* [List of Event-based Vision Resources](https://github.com/uzh-rpg/event-based_vision_resources)\n\n\n## License\n\nThis work is licensed under a\n[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].\n\n[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]\n\n[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/\n[cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png\n[cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftub-rip%2FEventStereoSurvey","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftub-rip%2FEventStereoSurvey","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftub-rip%2FEventStereoSurvey/lists"}