my_TRELLIS
Python · active 2025-03-29 → 2026-07-18 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 477 days from 2025-03-29 to 2026-07-18. Pushes: 6 total, peak 2 in a day. Pull requests: 15 total, peak 3 in a day. Issues: 56 total, peak 5 in a day. Comments: 175 total, peak 6 in a day. Stars: 1,690 total, peak 39 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 |
|---|---|---|---|---|
| YuDeng | 8 | 1 | 0 | 4 |
| JeffreyXiang | 7 | 4 | 0 | 2 |
| GatorSethBarber | 7 | 0 | 0 | 6 |
| FishWoWater | 6 | 0 | 0 | 6 |
| MathamPollard | 6 | 0 | 0 | 1 |
| xishuxishu | 6 | 0 | 0 | 1 |
| usamashami11 | 5 | 0 | 0 | 5 |
| microsoft-github-policy-service[bot] | 5 | 0 | 0 | 5 |
| Squirrel-code | 4 | 0 | 0 | 2 |
| WiserZhou | 4 | 0 | 0 | 3 |
| maepopi | 4 | 0 | 1 | 3 |
| zhulongcc | 4 | 0 | 0 | 3 |
| 595972434 | 4 | 0 | 0 | 4 |
| gongminmin | 3 | 0 | 0 | 3 |
| 1962247851 | 3 | 0 | 3 | 0 |
| yyyuhan | 3 | 0 | 1 | 2 |
| 13918763630 | 3 | 0 | 0 | 3 |
| SuX97 | 3 | 0 | 0 | 2 |
| KeKer7 | 3 | 0 | 0 | 1 |
| feiqiu-cyber | 3 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#93vgoel-sc2026-04-29 22:59Discussion on Visual feature aggregation
- Issue comment#140smileyenot9832026-03-17 20:44There are so many errors when downloading from Objaverse-github
- Issue comment#257PrageshShrestha2026-03-16 08:17updated readme with instructions to install Trellis with RTX 5090
- Issue comment#248xjtunzy2026-03-14 06:59Does anyone download the dataset successfully?
- Issue comment#351nothinnoone35-beep2026-03-08 21:383dosmanpasa
- Issue comment#215SuX972026-03-06 08:54evaluation setting
- Issue#349sdfsgegdsc2026-02-02 13:33How can I generate a 3D model from text? Are there any sample codes? Thank you.
- Issue comment#136ydayda2026-02-02 09:05Aesthetic Score Computation
- Issue comment#93Sugercanee2026-01-07 08:50Discussion on Visual feature aggregation
- Issue comment#341DiamondGlassDrill2026-01-06 07:09Visual feature aggregation in run_variant() for 3D assets editing
- Issue#341rururuw2026-01-06 05:12Visual feature aggregation in run_variant() for 3D assets editing
- Issue#345MrHandsomeljn2025-12-22 03:10Looking for pre-built SLats
- Issue comment#222deeduckme2025-12-20 20:12✅ Working guide for running on DigitalOcean H100 Ubuntu ✅
- Issue comment#222regnaio2025-12-20 20:01✅ Working guide for running on DigitalOcean H100 Ubuntu ✅
- Issue comment#340junho20002025-12-16 02:17Training stops with "Floating point exception" during stage-2 VAE training
- Issue comment#81rururuw2025-12-15 03:35How to convert a 3D asset into Structured LATents (SLAT) ?
- Issue comment#204IMath1232025-12-15 02:56Render.py takes long time
- Issue comment#343IgorAherne2025-12-15 02:41Kaolin _C error on launch TRELLIS-gradio
- Issue comment#343IgorAherne2025-12-15 02:39Kaolin _C error on launch TRELLIS-gradio
- Issue comment#215braodg2025-12-13 06:28evaluation setting
- Issue#298oe212025-12-13 06:09non_commercial??
- Issue comment#342braodg2025-12-10 10:44how to evaluate Fre ́chet distance (FD) for toys4k
- Issue#341rururuw2025-12-07 22:23Visual feature aggregation in run_variant() for 3D assets editing
- Issue comment#329wendashi2025-12-04 07:53Segmentation fault (core dumped)
- Issue comment#258usamashami112025-11-19 07:22Loading a finetuned model into TrellisImageTo3DPipeline class for inference purposes
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1,690 stars here means stars gained during the window, not the repo's star count.