[ICCV 2023] P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds
active 2023-08-15 → 2026-04-09 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 969 days from 2023-08-15 to 2026-04-09. Pushes: 23 total, peak 7 in a day. Pull requests: 4 total, peak 1 in a day. Issues: 83 total, peak 23 in a day. Comments: 140 total, peak 8 in a day. Stars: 178 total, peak 42 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 |
|---|---|---|---|---|
| CuiRuikai | 124 | 23 | 2 | 69 |
| xingjinderhuoche | 12 | 0 | 0 | 6 |
| w1hao | 12 | 0 | 0 | 8 |
| junkangma | 11 | 0 | 0 | 6 |
| Frog-2915 | 8 | 0 | 0 | 7 |
| kefusong | 7 | 0 | 0 | 5 |
| yifliu3 | 7 | 0 | 0 | 4 |
| PreyumKr | 6 | 0 | 0 | 4 |
| xwayuzu | 5 | 0 | 0 | 4 |
| XDUchpn | 4 | 0 | 0 | 2 |
| songqikong | 4 | 0 | 0 | 3 |
| w0928 | 4 | 0 | 0 | 3 |
| jintiannixuexile | 4 | 0 | 0 | 1 |
| QianLi-cell | 3 | 0 | 0 | 3 |
| dperozzi | 3 | 0 | 2 | 1 |
| wang1h | 3 | 0 | 0 | 1 |
| supgy | 3 | 0 | 0 | 2 |
| YunLixiang | 2 | 0 | 0 | 1 |
| PauliShit | 2 | 0 | 0 | 1 |
| 3058356235 | 2 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#50zt85892026-04-09 08:59The implementation philosophy of RCD
- Issue comment#50zt85892026-04-09 08:44The implementation philosophy of RCD
- Issue comment#49CuiRuikai2026-01-24 03:34About Test Metric
- Issue#48DavidYan20012025-10-15 09:08Asking about the evaluation on ScanNet data
- Issue#47xiejinghh2025-06-25 02:58questions about training with a custom dataset
- Issue comment#46CuiRuikai2025-04-27 11:09question about the reconstruction loss during training
- Issue comment#46Frog-29152025-04-27 11:07question about the reconstruction loss during training
- Issue comment#46CuiRuikai2025-04-27 11:03question about the reconstruction loss during training
- Issue comment#46Frog-29152025-04-27 11:00question about the reconstruction loss during training
- Issue comment#46CuiRuikai2025-04-27 10:28question about the reconstruction loss during training
- Issue#46Frog-29152025-04-27 10:06question about the reconstruction loss during training
- Issue comment#45CuiRuikai2025-04-13 16:52About training data for ScanNet
- Issue#45swwddjjp2025-04-10 05:24About training data for ScanNet
- Issue#43CuiRuikai2025-04-03 11:47In Table 1, how do P2C and P2C* correspond to EPN3DComplete and EPN3D?
- Issue#43CuiRuikai2025-04-03 11:45In Table 1, how do P2C and P2C* correspond to EPN3DComplete and EPN3D?
- Issue#43CuiRuikai2025-04-03 11:45In Table 1, how do P2C and P2C* correspond to EPN3DComplete and EPN3D?
- Issue comment#44CuiRuikai2025-04-03 11:44Is the data in Table 2 trained using PCNComplete_models or PCN_models?
- Issue#44wang1h2025-04-03 11:32Is the data in Table 2 trained using PCNComplete_models or PCN_models?
- Issue comment#43wang1h2025-02-24 08:26In Table 1, how do P2C and P2C* correspond to EPN3DComplete and EPN3D?
- Issue#43wang1h2025-02-24 08:22In Table 1, how do P2C and P2C* correspond to EPN3DComplete and EPN3D?
- Issue comment#42w1hao2025-01-08 08:24Memory issues
- Issue comment#42CuiRuikai2025-01-08 08:18Memory issues
- Issue comment#42w1hao2025-01-08 08:12Memory issues
- Issue comment#42w1hao2025-01-08 08:11Memory issues
- Issue comment#39w1hao2025-01-08 08:10Please ask your GPU device and training time
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 178 stars here means stars gained during the window, not the repo's star count.