This is the offical implementation for the paper titled "TextFusion: Unveiling the Power of Textual Semantics for Controllable Image Fusion".
active 2024-01-08 → 2026-01-04 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 728 days from 2024-01-08 to 2026-01-04. Pushes: 47 total, peak 20 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 15 total, peak 2 in a day. Comments: 13 total, peak 2 in a day. Stars: 36 total, peak 1 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 |
|---|---|---|---|---|
| AWCXV | 60 | 47 | 0 | 8 |
| Britajin | 5 | 0 | 0 | 1 |
| nanakoMI | 3 | 0 | 0 | 2 |
| songwenhao123 | 2 | 0 | 0 | 1 |
| Nine5254 | 1 | 0 | 0 | 1 |
| mm111222 | 1 | 0 | 0 | 0 |
| xiaocheng1213 | 1 | 0 | 0 | 0 |
| Liulong-Aliang | 1 | 0 | 0 | 0 |
| yujiasunwp | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#7xiaocheng12132025-08-27 10:53training problem
- Issue comment#6Britajin2025-04-16 05:55coarse to fine association代码
- Issue#6Britajin2025-04-16 05:54coarse to fine association代码
- Issue#6Britajin2025-04-16 05:54coarse to fine association代码
- Issue#6Britajin2025-03-31 03:12coarse to fine association代码
- Issue comment#6AWCXV2025-03-28 06:15coarse to fine association代码
- Issue#6Britajin2025-03-27 11:41coarse to fine association代码
- Issue comment#4AWCXV2025-01-04 01:50textual attention assessment
- Issue#4AWCXV2025-01-04 01:50textual attention assessment
- Issue comment#5AWCXV2025-01-04 01:49metric
- Issue#5AWCXV2025-01-04 01:49metric
- Issue comment#5nanakoMI2025-01-03 08:20metric
- Issue comment#5AWCXV2024-12-25 02:41metric
- Issue comment#5nanakoMI2024-12-11 01:29metric
- Issue#5nanakoMI2024-12-11 01:28metric
- Issue comment#4AWCXV2024-09-29 15:57textual attention assessment
- Issue#4mm1112222024-09-29 13:39textual attention assessment
- Issue#3AWCXV2024-06-30 18:13LLVIP测试集目标检测Label
- Issue comment#3songwenhao1232024-06-30 00:38LLVIP测试集目标检测Label
- Issue comment#3AWCXV2024-06-29 13:40LLVIP测试集目标检测Label
- Issue#3songwenhao1232024-06-29 07:33LLVIP测试集目标检测Label
- Issue#2AWCXV2024-05-26 12:37关于Train Set [Images&Text]:
- Issue comment#2AWCXV2024-05-26 10:39关于Train Set [Images&Text]:
- Issue#2yujiasunwp2024-05-25 04:18关于Train Set [Images&Text]:
- Issue#1AWCXV2024-03-15 09:32How to train the model?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 36 stars here means stars gained during the window, not the repo's star count.