Official implementation of "MeshDiffusion: Score-based Generative 3D Mesh Modeling" (ICLR 2023 Spotlight)
active 2023-08-16 → 2026-05-23 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1012 days from 2023-08-16 to 2026-05-23. Pushes: 5 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 29 total, peak 5 in a day. Comments: 23 total, peak 3 in a day. Stars: 232 total, peak 5 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 |
|---|---|---|---|---|
| lzzcd001 | 20 | 5 | 0 | 9 |
| jpainam | 13 | 0 | 0 | 5 |
| shllgtca | 6 | 0 | 0 | 5 |
| gsfsdv | 3 | 0 | 0 | 1 |
| trltzy | 3 | 0 | 0 | 1 |
| GBRUSSIEUX | 2 | 0 | 0 | 0 |
| sevenotes | 2 | 0 | 0 | 0 |
| itera-del | 2 | 0 | 0 | 0 |
| dqj5182 | 1 | 0 | 0 | 0 |
| ATPBoost | 1 | 0 | 0 | 1 |
| fffh1 | 1 | 0 | 0 | 1 |
| jjpatino-byte | 1 | 0 | 0 | 0 |
| shengzewen | 1 | 0 | 0 | 0 |
| 2017211801 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#39jjpatino-byte2025-03-25 11:19Any advice to install it for Ubuntu 22.04?
- Issue#38itera-del2024-08-18 16:03--config=$DIFFUSION_CONFIG Parameter Specification
- Issue#38itera-del2024-08-18 15:46--config=$DIFFUSION_CONFIG Parameter Specification
- Issue#3720172118012024-06-25 11:40How to render textured meshes with your blender script？
- Issue comment#36fffh12024-03-30 13:06There is an error in the training code and training cannot be performed?
- Issue#36gsfsdv2024-03-20 07:06There is an error in the training code and training cannot be performed?
- Issue comment#34gsfsdv2024-03-20 04:22Why can't I download processed datasets? Who can share it?
- Issue#35GBRUSSIEUX2024-03-06 15:24Cuda error: 208[cudaGraphicsUnregisterResource(s.cudaColorBuffer[i]);]
- Issue comment#35lzzcd0012024-03-06 09:16Cuda error: 208[cudaGraphicsUnregisterResource(s.cudaColorBuffer[i]);]
- Issue#35GBRUSSIEUX2024-03-05 19:39Cuda error: 208[cudaGraphicsUnregisterResource(s.cudaColorBuffer[i]);]
- Issue#34gsfsdv2024-02-26 11:56Why can't I download processed datasets? Who can share it?
- Issue comment#33lzzcd0012024-02-25 22:05what is the correspondance between $META_FILE, ShapeNetJson file
- Issue#33lzzcd0012024-02-25 22:05what is the correspondance between $META_FILE, ShapeNetJson file
- Issue#32jpainam2024-02-23 17:29Unable to load `np.load(...)` your provided `npy` dataset. allow_pickle not working
- Issue#31jpainam2024-02-22 16:50The provided dmtet_npy_folder data do not contain `_` to use `split('_')`
- Issue#31jpainam2024-02-22 16:16The provided dmtet_npy_folder data do not contain `_` to use `split('_')`
- Issue comment#29lzzcd0012024-02-22 16:14ValueError: invalid literal for int() with base 10: '../res64/chair/0000' full_id_list = [int(x.rstrip().split('_')[-1][:-len(self.extension)-1]) for i, x in enumerate(self.fpath_list)]
- Issue#29lzzcd0012024-02-22 16:14ValueError: invalid literal for int() with base 10: '../res64/chair/0000' full_id_list = [int(x.rstrip().split('_')[-1][:-len(self.extension)-1]) for i, x in enumerate(self.fpath_list)]
- Issue comment#30jpainam2024-02-22 15:41torch/../common/glutil.h:36:10: fatal error: EGL/egl.h: No such file or directory #include <EGL/egl.h> not
- Issue#30jpainam2024-02-22 15:41torch/../common/glutil.h:36:10: fatal error: EGL/egl.h: No such file or directory #include <EGL/egl.h> not
- Issue#29jpainam2024-02-22 07:20ValueError: invalid literal for int() with base 10: '../res64/chair/0000' full_id_list = [int(x.rstrip().split('_')[-1][:-len(self.extension)-1]) for i, x in enumerate(self.fpath_list)]
- Issue comment#8jpainam2024-02-22 04:20Creat a list of paths
- Issue comment#28lzzcd0012024-02-21 08:41What are the correct versions of pytorch3d and pymeshlab
- Issue#28lzzcd0012024-02-21 08:41What are the correct versions of pytorch3d and pymeshlab
- Issue comment#28jpainam2024-02-18 19:32What are the correct versions of pytorch3d and pymeshlab
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 232 stars here means stars gained during the window, not the repo's star count.