Official implementation of 'Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields'
active 2023-08-19 → 2025-06-26 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 678 days from 2023-08-19 to 2025-06-26. Pushes: 2 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 15 total, peak 2 in a day. Comments: 26 total, peak 4 in a day. Stars: 93 total, peak 3 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 |
|---|---|---|---|---|
| eckertzhang | 9 | 2 | 0 | 5 |
| NikitaVasilevN | 5 | 0 | 0 | 2 |
| lxy198 | 4 | 0 | 0 | 4 |
| CrispyFeSo4 | 2 | 0 | 0 | 1 |
| yetiiil | 2 | 0 | 0 | 1 |
| jeremy123z | 2 | 0 | 0 | 2 |
| KunHan-KH | 2 | 0 | 0 | 2 |
| Asianfleet | 2 | 0 | 0 | 1 |
| ErfolgreichCharismatisch | 1 | 0 | 0 | 0 |
| briannlongzhao | 1 | 0 | 0 | 1 |
| PeterSchlenker | 1 | 0 | 0 | 1 |
| yezifeiafei | 1 | 0 | 0 | 1 |
| rakeshshrestha31 | 1 | 0 | 0 | 0 |
| Vinayak-VG | 1 | 0 | 0 | 0 |
| Jihyun0510 | 1 | 0 | 0 | 1 |
| snowwhitewings | 1 | 0 | 0 | 1 |
| manxw | 1 | 0 | 0 | 1 |
| jly0810 | 1 | 0 | 0 | 0 |
| yuchenlichuck | 1 | 0 | 0 | 0 |
| fangchuan | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#7NikitaVasilevN2024-09-23 07:14Which pretrained checkpoints to use to perform rendering?
- Issue comment#7Jihyun05102024-09-22 02:02Which pretrained checkpoints to use to perform rendering?
- Issue comment#14CrispyFeSo42024-07-02 02:56huggingface/tokenizers ERROR
- Issue#14CrispyFeSo42024-07-02 01:56huggingface/tokenizers ERROR
- Issue#13Vinayak-VG2024-06-10 12:32Regarding the number of views generated during training
- Issue comment#12eckertzhang2024-04-24 15:53Hello and thank you for your wonderful work. I would like to ask again if you have done some preprocessing on the scale of the depth map inferred by the depth estimation model, because I found that it is often difficult to directly use the depth map obtained by depth estimation for warp to align the target perspective pose and depth value. The scale size greatly affects the warp operation.
- Issue comment#3jeremy123z2024-04-08 09:03Smaller models
- Issue comment#8jeremy123z2024-04-08 08:50Fail to generate 360 scene
- Issue comment#6manxw2024-04-05 12:17Failing to install requirements
- Issue comment#11KunHan-KH2024-04-02 23:07cannot use environment.yaml to install conda env
- Issue comment#11KunHan-KH2024-04-02 23:07cannot use environment.yaml to install conda env
- Issue comment#8lxy1982024-04-01 01:22Fail to generate 360 scene
- Issue comment#6snowwhitewings2024-03-31 07:20Failing to install requirements
- Issue comment#8Maroceannn2024-03-29 03:33Fail to generate 360 scene
- Issue comment#8lxy1982024-03-29 01:54Fail to generate 360 scene
- Issue comment#8lxy1982024-03-29 01:53Fail to generate 360 scene
- Issue comment#8lxy1982024-03-29 01:48Fail to generate 360 scene
- Issue#12wdlllllllll2024-03-28 04:03Hello and thank you for your wonderful work. I would like to ask again if you have done some preprocessing on the scale of the depth map inferred by the depth estimation model, because I found that it is often difficult to directly use the depth map obtained by depth estimation for warp to align the target perspective pose and depth value. The scale size greatly affects the warp operation.
- Issue comment#11PeterSchlenker2024-03-22 22:12cannot use environment.yaml to install conda env
- Issue#11yetiiil2024-03-20 10:16cannot use environment.yaml to install conda env
- Issue#10jly08102024-03-20 03:17Hardware required for training
- Issue comment#6yetiiil2024-03-18 16:31Failing to install requirements
- Issue#9Asianfleet2024-03-08 10:18inference time
- Issue comment#7NikitaVasilevN2024-03-02 09:14Which pretrained checkpoints to use to perform rendering?
- Issue comment#4Asianfleet2024-03-02 08:02Extracting the mesh
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 93 stars here means stars gained during the window, not the repo's star count.