[ICCV 2023] Official PyTorch implementation of the paper "InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion"
active 2023-09-01 → 2026-03-01 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 913 days from 2023-09-01 to 2026-03-01. Pushes: 42 total, peak 10 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 42 total, peak 3 in a day. Comments: 76 total, peak 11 in a day. Stars: 265 total, peak 29 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 |
|---|---|---|---|---|
| Sirui-Xu | 89 | 42 | 0 | 37 |
| chrenx | 14 | 0 | 0 | 4 |
| kleinzcy | 9 | 0 | 0 | 9 |
| mansooreh1 | 9 | 0 | 0 | 4 |
| Kairobo | 6 | 0 | 0 | 4 |
| Steve-Tod | 6 | 0 | 0 | 5 |
| zhihou7 | 5 | 0 | 0 | 3 |
| DonlynLee | 4 | 0 | 0 | 1 |
| z050209 | 3 | 0 | 0 | 2 |
| HUSTLDL | 3 | 0 | 0 | 2 |
| cutepiggy123 | 3 | 0 | 0 | 2 |
| lzhyu | 2 | 0 | 0 | 1 |
| M1chaelGao | 2 | 0 | 0 | 0 |
| maomao0122 | 2 | 0 | 0 | 1 |
| LvXinTao | 1 | 0 | 0 | 0 |
| mengqing0312 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#26mansooreh12025-11-30 09:43The using of GRAB dataset
- Issue comment#25mansooreh12025-11-15 08:56How are the results in Tables obtained?
- Issue comment#25Sirui-Xu2025-10-29 06:33How are the results in Tables obtained?
- Issue#24mansooreh12025-10-01 07:44Difference in Results When Using Provided Checkpoints vs. Training from Scratch
- Issue comment#21mansooreh12025-07-19 15:02Request for Demo and Qualitative Results of Your Implementation
- Issue comment#23lzhyu2025-06-17 22:15Visualization for skeleton-based dataset
- Issue#23lzhyu2025-06-17 22:15Visualization for skeleton-based dataset
- Issue comment#23Sirui-Xu2025-06-17 21:42Visualization for skeleton-based dataset
- Issue#22DonlynLee2025-06-15 07:06question about "autoregressive"
- Issue#23DonlynLee2025-06-15 07:06Visualization for skeleton-based dataset
- Issue comment#22DonlynLee2025-06-11 09:18question about "autoregressive"
- Issue comment#21Sirui-Xu2025-05-19 07:32Request for Demo and Qualitative Results of Your Implementation
- Issue comment#22Sirui-Xu2025-05-19 05:30question about "autoregressive"
- Issue#22DonlynLee2025-05-15 14:38question about "autoregressive"
- Issue comment#21mansooreh12025-04-28 06:32Request for Demo and Qualitative Results of Your Implementation
- Issue comment#21mansooreh12025-04-12 07:11Request for Demo and Qualitative Results of Your Implementation
- Issue#19Sirui-Xu2025-04-08 21:23release for the long-term evaluation
- Issue#20Sirui-Xu2025-04-08 21:23How to Compute a Single Representative Value for Evaluation Metrics?
- Issue comment#21Sirui-Xu2025-04-08 21:23Request for Demo and Qualitative Results of Your Implementation
- Issue comment#21mansooreh12025-04-05 09:01Request for Demo and Qualitative Results of Your Implementation
- Issue comment#21Sirui-Xu2025-04-01 20:52Request for Demo and Qualitative Results of Your Implementation
- Issue#21mansooreh12025-04-01 08:12Request for Demo and Qualitative Results of Your Implementation
- Issue comment#15Sirui-Xu2025-03-21 23:09visualization code question
- Issue#15Sirui-Xu2025-03-21 23:09visualization code question
- Issue comment#20Sirui-Xu2025-03-21 18:12How to Compute a Single Representative Value for Evaluation Metrics?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 265 stars here means stars gained during the window, not the repo's star count.