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DynamicPose, a simple and robust framework for animating human images.

active 2024-08-272025-07-30 (UTC)

Partial coverage20,508 / 26,264 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-13 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
80
Pushes
15
Pull requests
0
Issues
9
Stars
46
Forks
4

Activity over time

Daily event counts in the loaded window

Line chart, 338 days from 2024-08-27 to 2025-07-30. Pushes: 15 total, peak 15 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 9 total, peak 2 in a day. Comments: 3 total, peak 2 in a day. Stars: 46 total, peak 17 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

ContributorContributionsPushesPRsComments
dynamic-X-LAB171502
leeooo0013001
Tiehr20002000
wangqiang92000
wangzf181000
ykykkun1000
tangdong19941000

Recent activity

Latest issues, pull requests and releases

  • Issue#7Tiehr20002024-09-24 02:31
    If there are any related papers or documents?
  • Issue#7Tiehr20002024-09-24 02:01
    If there are any related papers or documents?
  • Issue#6wangzf182024-09-20 02:34
    what is the difference between DynamicPose and PhotoPoster, which one has the better results, thank you!
  • Issue#3leeooo0012024-09-07 13:19
    Given groups=1, weight of size [17, 1280, 7, 7], expected input[1, 1310, 12, 9] to have 1280 channels, but got 1310 channels instead
  • Issue comment#3leeooo0012024-09-07 13:19
    Given groups=1, weight of size [17, 1280, 7, 7], expected input[1, 1310, 12, 9] to have 1280 channels, but got 1310 channels instead
  • Issue#2wangqiang92024-09-04 05:46
    Do you have any plans to publish technical reports or papers describing the principles of your improvements?
  • Issue comment#3dynamic-X-LAB2024-09-04 03:58
    Given groups=1, weight of size [17, 1280, 7, 7], expected input[1, 1310, 12, 9] to have 1280 channels, but got 1310 channels instead
  • Issue comment#2dynamic-X-LAB2024-09-04 03:01
    Do you have any plans to publish technical reports or papers describing the principles of your improvements?
  • Issue#3leeooo0012024-08-31 19:25
    Given groups=1, weight of size [17, 1280, 7, 7], expected input[1, 1310, 12, 9] to have 1280 channels, but got 1310 channels instead
  • Issue#2wangqiang92024-08-31 09:36
    Do you have any plans to publish technical reports or papers describing the principles of your improvements?
  • Issue#1tangdong19942024-08-29 04:43
    How much data did you use to train the model? And what was the general nature of the data?
  • Issue#2ykykkun2024-08-28 00:16
    weights 404

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 46 stars here means stars gained during the window, not the repo's star count.