PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
active 2023-11-06 → 2026-04-19 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 896 days from 2023-11-06 to 2026-04-19. Pushes: 4 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 37 total, peak 3 in a day. Comments: 29 total, peak 6 in a day. Stars: 601 total, peak 54 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 |
|---|---|---|---|---|
| Jiawei-Yang | 17 | 4 | 0 | 10 |
| sonnefred | 5 | 0 | 0 | 2 |
| LZL-CS | 4 | 0 | 0 | 2 |
| RuihanLu | 4 | 0 | 0 | 2 |
| maliksyria | 3 | 0 | 0 | 2 |
| jycc1991 | 3 | 0 | 0 | 1 |
| Anji-Builds | 3 | 0 | 0 | 1 |
| ZiYang-xie | 3 | 0 | 0 | 1 |
| shanxiaojun | 3 | 0 | 0 | 1 |
| maximilianigl | 2 | 0 | 0 | 0 |
| houshuaipeng | 2 | 0 | 0 | 0 |
| X-WhyY | 2 | 0 | 0 | 1 |
| 8888-baiyi-8888 | 2 | 0 | 0 | 1 |
| Mayakshanesht | 2 | 0 | 0 | 1 |
| jzuern | 2 | 0 | 0 | 1 |
| RyanPham19092002 | 1 | 0 | 0 | 0 |
| shpark98 | 1 | 0 | 0 | 0 |
| Mayakshamanjirinesht | 1 | 0 | 0 | 1 |
| yovyo0099 | 1 | 0 | 0 | 0 |
| jamesheatonrdm | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#31shpark982026-02-26 05:17Nuscenes Sky Mask Link Unavailable
- Issue#30yovyo00992024-12-03 00:42can not train on H100
- Issue#29RyanPham190920022024-08-09 13:57How to render novel view synthesis as any pose (the extrinsic matrix output pose is different with the extrinsic matrix input pose when training)?
- Issue#28jycc19912024-07-31 08:47How to train in multiple GPUs?
- Issue comment#27jycc19912024-07-31 03:03How to extract sky masks for waymo 114?
- Issue#27jycc19912024-07-31 02:58How to extract sky masks for waymo 114?
- Issue#26Anji-Builds2024-07-08 19:10Request for Dockerfile
- Issue#25Mayakshanesht2024-07-02 11:02Regarding the mismatch between saved chevkpoints state_dict and newly loaded model for the different scenes
- Issue comment#11X-WhyY2024-07-02 11:01Decomposed Static RGB and Decomposed Dynamic RGB
- Issue comment#22Mayakshanesht2024-07-02 10:32CUDA out of memory error
- Issue comment#22Anji-Builds2024-07-02 10:20CUDA out of memory error
- Issue comment#2Mayakshamanjirinesht2024-05-31 11:20Pretrained models release date
- Issue#24matthew-wave2024-05-20 10:16Changing perspectives
- Issue comment#88888-baiyi-88882024-05-09 06:43Training results are blurry with poor depth maps using custom dataset with transformed camera intrinsics and extrinsics
- Issue#238888-baiyi-88882024-05-08 10:52Waymo's new perspective compositing
- Issue comment#21ntaquan01252024-05-07 13:34How to optimize EmerNeRF
- Issue#22Anji-Builds2024-04-10 13:50CUDA out of memory error
- Issue#20jamesheatonrdm2024-03-28 13:55Correct Procedure for Voxel Visualization?
- Issue#19sonnefred2024-02-23 07:21Image size and feature_extraction_size
- Issue comment#8Akash-Kumbar2024-02-03 14:41Training results are blurry with poor depth maps using custom dataset with transformed camera intrinsics and extrinsics
- Issue comment#5sonnefred2024-01-11 03:33How much this work is based on LiDAR data?
- Issue#1820192130392024-01-05 17:45About the generated scene flow model
- Issue comment#11RuihanLu2024-01-05 13:55Decomposed Static RGB and Decomposed Dynamic RGB
- Issue#17Talnex2023-12-26 14:19novel view synthesis in Nuscenes
- Issue#16programath2023-12-25 02:54Depth Rendering Problem
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 601 stars here means stars gained during the window, not the repo's star count.