NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/abs/2210.01276
active 2023-08-15 → 2026-04-23 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 983 days from 2023-08-15 to 2026-04-23. Pushes: 0 total, peak 0 in a day. Pull requests: 4 total, peak 3 in a day. Issues: 22 total, peak 2 in a day. Comments: 59 total, peak 5 in a day. Stars: 437 total, peak 4 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| ERGOWHO | 5 | 0 | 0 | 4 |
| RyanAshbaugh | 4 | 0 | 3 | 0 |
| qungvinh1280 | 4 | 0 | 0 | 3 |
| Wqiyu | 4 | 0 | 0 | 4 |
| JzHuai0108 | 3 | 0 | 0 | 0 |
| liangyongshi | 3 | 0 | 0 | 3 |
| wangjinhoon | 3 | 0 | 0 | 1 |
| dloppahm | 3 | 0 | 0 | 1 |
| lihaowei1999 | 3 | 0 | 0 | 3 |
| coarsedamavand | 3 | 0 | 1 | 0 |
| EOF101110 | 2 | 0 | 0 | 1 |
| rrdongdong | 2 | 0 | 0 | 2 |
| sx123456123 | 2 | 0 | 0 | 1 |
| parastoobakhtiarii | 2 | 0 | 0 | 2 |
| WN-Wolf | 2 | 0 | 0 | 2 |
| FufenNan | 2 | 0 | 0 | 2 |
| MuzeeZ | 2 | 0 | 0 | 2 |
| kadirkun | 2 | 0 | 0 | 2 |
| Rosa712 | 2 | 0 | 0 | 1 |
| josyulavt | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#53MuzeeZ2025-01-14 11:01error: droid_backends
- Issue comment#14liangyongshi2025-01-14 01:30vio-slam
- Issue comment#14parastoobakhtiarii2025-01-14 01:29vio-slam
- Issue comment#53parastoobakhtiarii2025-01-14 01:15error: droid_backends
- Issue comment#58mct26112024-10-30 02:57Cmake error
- Issue#78JzHuai01082024-10-28 01:36gtsam retraction in droid-slam
- Issue#77JzHuai01082024-10-18 10:26Depth covariance computation
- Issue#76JzHuai01082024-10-15 13:52Depth L1 computation in evaluation
- Issue comment#75dloppahm2024-10-10 17:28AttributeError: module 'gtsam' has no attribute 'BatchFixedLagSmoother'
- Issue#75dloppahm2024-10-10 17:28AttributeError: module 'gtsam' has no attribute 'BatchFixedLagSmoother'
- Issue#75dloppahm2024-10-10 17:21AttributeError: module 'gtsam' has no attribute 'BatchFixedLagSmoother'
- Issue comment#38Amelia2358942024-10-03 13:55Error: Compile ngp.
- Issue comment#21WhoKilledTheNorns2024-08-09 05:34type object 'gtsam.gtsam.Pose3' has no attribute 'identity'
- Issue#36dennisushi2024-08-06 12:00AttributeError: 'pyngp.Training' object has no attribute 'update_training_images'
- Issue comment#30josyulakrishna2024-08-04 20:17AttributeError: module 'droid_backends' has no attribute 'reduced_camera_matrix'
- Issue comment#69josyulavt2024-08-02 16:34TypeError: create_empty_nerf_dataset(): incompatible function arguments. The following argument types are supported:
- Issue#74Apande2802024-07-18 23:16MujocoViewer issue
- Issue comment#12zhangshuoneu2024-07-06 09:38Restore no-SLAM, fix replica import, CUDA 11.7, etc
- Issue comment#42lihaowei19992024-06-11 00:11the gt-pose use in instant ngp
- Issue comment#56lihaowei19992024-06-11 00:07Resize image input
- Issue comment#18lihaowei19992024-06-11 00:05NANs in L_inv!!
- Issue comment#7Zhangxr022024-05-31 03:56Build problem about gtsam
- Issue comment#69FufenNan2024-05-29 02:42TypeError: create_empty_nerf_dataset(): incompatible function arguments. The following argument types are supported:
- Issue comment#65FufenNan2024-05-27 16:03Unable to download the eigen component
- Pull request#73RyanAshbaugh2024-03-18 04:15
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 437 stars here means stars gained during the window, not the repo's star count.