Official repository for "DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly" accepted at CVPR2024
active 2024-02-29 → 2026-01-19 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 691 days from 2024-02-29 to 2026-01-19. Pushes: 25 total, peak 13 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 12 total, peak 2 in a day. Comments: 12 total, peak 2 in a day. Stars: 85 total, peak 8 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 |
|---|---|---|---|---|
| gianscarpe | 23 | 19 | 0 | 3 |
| Stefa1994 | 7 | 2 | 0 | 2 |
| pmorerio | 5 | 4 | 0 | 1 |
| Pergo01 | 2 | 0 | 0 | 2 |
| wzm2256 | 2 | 0 | 0 | 2 |
| clq168 | 1 | 0 | 0 | 1 |
| aplesner | 1 | 0 | 0 | 0 |
| eezaynah | 1 | 0 | 0 | 0 |
| pluto2D | 1 | 0 | 0 | 0 |
| Daisling | 1 | 0 | 0 | 0 |
| wodouxiangxiaole | 1 | 0 | 0 | 0 |
| Ruiyuan-Zhang | 1 | 0 | 0 | 0 |
| zc1213856 | 1 | 0 | 0 | 0 |
| eric-zqwang | 1 | 0 | 0 | 0 |
| guochenmeinian | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#3wzm22562025-04-19 10:36Do you plan to release ckpt for your model?
- Issue comment#1wzm22562025-04-19 10:34RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn
- Issue#1Stefa19942025-02-04 09:32RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn
- Issue#5Stefa19942025-02-04 09:32How to recover the full image from randomly noisy patches instead of model-noised patches?
- Issue#7Ruiyuan-Zhang2024-11-20 04:33Are you sure that your work is upon "Diffusion"?
- Issue comment#5gianscarpe2024-11-06 13:33How to recover the full image from randomly noisy patches instead of model-noised patches?
- Issue comment#6gianscarpe2024-11-06 13:32Missing model.backbones.backbone_vist
- Issue#6gianscarpe2024-11-06 13:32Missing model.backbones.backbone_vist
- Issue comment#4clq1682024-11-03 08:08One question about Breaking bad
- Issue comment#4guochenmeinian2024-10-19 03:12One question about Breaking bad
- Issue#6aplesner2024-09-06 06:19Missing model.backbones.backbone_vist
- Issue comment#1Stefa19942024-06-26 10:52RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn
- Issue comment#4Stefa19942024-06-26 10:35One question about Breaking bad
- Issue#2Stefa19942024-06-26 10:34how to train equivariant encoder
- Issue#3eric-zqwang2024-06-22 04:02Do you plan to release ckpt for your model?
- Issue comment#1Pergo012024-06-19 08:48RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn
- Issue#5eezaynah2024-06-14 03:29How do you recover a complete image from image patches that are artificially nosed instead of model?
- Issue#4pluto2D2024-06-13 08:45One question about Breaking bad
- Issue comment#3gianscarpe2024-06-12 15:24Do you plan to release ckpt for your model?
- Issue comment#1pmorerio2024-06-12 10:05RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn
- Issue comment#1Pergo012024-05-16 15:21RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn
- Issue#3wodouxiangxiaole2024-05-05 05:46Do you plan to release ckpt for your model?
- Issue#2zc12138562024-04-02 12:55how to train equivariant encoder
- Issue#1Daisling2024-04-02 03:50RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 85 stars here means stars gained during the window, not the repo's star count.