[ICLR 2024] Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach Link: https://arxiv.org/abs/2401.15652
active 2024-01-29 → 2026-04-05 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 798 days from 2024-01-29 to 2026-04-05. Pushes: 16 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 23 total, peak 3 in a day. Comments: 50 total, peak 12 in a day. Stars: 81 total, peak 4 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 |
|---|---|---|---|---|
| Sherrylone | 23 | 4 | 0 | 17 |
| inFaaa | 15 | 12 | 0 | 3 |
| ustczhouyu | 13 | 0 | 0 | 12 |
| tariqtomar | 9 | 0 | 0 | 5 |
| bhosalems | 5 | 0 | 0 | 2 |
| yang326922943 | 4 | 0 | 0 | 2 |
| yxWu777 | 3 | 0 | 0 | 1 |
| ac5113 | 2 | 0 | 0 | 1 |
| igodogi | 2 | 0 | 0 | 1 |
| HandFi | 2 | 0 | 0 | 0 |
| DongnanyuW | 2 | 0 | 0 | 1 |
| dxw2000 | 1 | 0 | 0 | 0 |
| sccsccs | 1 | 0 | 0 | 0 |
| mondalanindya | 1 | 0 | 0 | 1 |
| dawei03896 | 1 | 0 | 0 | 1 |
| ayushvrma | 1 | 0 | 0 | 1 |
| dunknsabsw | 1 | 0 | 0 | 0 |
| guishe666 | 1 | 0 | 0 | 0 |
| chl916185 | 1 | 0 | 0 | 1 |
| tripple-drops | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#15tripple-drops2025-06-26 21:05Why are the images in the gen folder generated by evaluate.py during the sampling stage colorful and noisy images?
- Issue#14Sherrylone2024-10-23 02:24Training results
- Issue comment#15Sherrylone2024-10-23 02:23Why are the images in the gen folder generated by evaluate.py during the sampling stage colorful and noisy images?
- Issue comment#16Sherrylone2024-10-23 02:22A problem when training
- Issue comment#14mondalanindya2024-09-27 10:17Training results
- Issue comment#14ustczhouyu2024-08-23 08:32Training results
- Issue comment#12ustczhouyu2024-08-23 08:28Question
- Issue comment#7ustczhouyu2024-08-23 08:27Sampling Stage and Evaluating Stage
- Issue comment#2ustczhouyu2024-08-23 08:25MODEL WEIGHTS
- Issue comment#13ustczhouyu2024-08-22 03:14Inference using the weights
- Issue#16guishe6662024-08-21 10:56A problem when training
- Issue comment#13ustczhouyu2024-08-21 10:47Inference using the weights
- Issue comment#13Sherrylone2024-08-21 09:22Inference using the weights
- Issue comment#13ustczhouyu2024-08-21 09:19Inference using the weights
- Issue comment#13ustczhouyu2024-08-21 09:16Inference using the weights
- Issue comment#12Sherrylone2024-08-21 07:24Question
- Issue comment#13Sherrylone2024-08-21 07:20Inference using the weights
- Issue comment#14Sherrylone2024-08-21 07:14Training results
- Issue comment#13ustczhouyu2024-08-21 03:22Inference using the weights
- Issue comment#13ac51132024-08-21 03:19Inference using the weights
- Issue comment#7ustczhouyu2024-08-21 03:17Sampling Stage and Evaluating Stage
- Issue comment#13ustczhouyu2024-08-21 03:15Inference using the weights
- Issue comment#13ustczhouyu2024-08-21 03:15Inference using the weights
- Issue#15ustczhouyu2024-08-21 03:13Why are the images in the gen folder generated by evaluate.py during the sampling stage colorful and noisy images?
- Issue comment#13bhosalems2024-07-26 13:58Inference using the weights
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 81 stars here means stars gained during the window, not the repo's star count.