Skip to content

DiffSeg is an unsupervised zero-shot segmentation method using attention information from a stable-diffusion model. This repo implements the main DiffSeg algorithm and additionally includes an experimental feature to add semantic labels to the masks based on a generated caption.

active 2024-11-262025-11-20 (UTC)

Partial coverage12,968 / 15,192 hourly files (85%) · 2 absent upstream · 2,218 failed, retryable2024-11-162026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
38
Pushes
0
Pull requests
0
Issues
1
Stars
34
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 360 days from 2024-11-26 to 2025-11-20. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 2 total, peak 1 in a day. Stars: 34 total, peak 2 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
fzehracetin2001
NazilaPourhaji1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#19fzehracetin2025-03-01 13:57
    Can not recreate the results with K-Means-S
  • Issue#19fzehracetin2025-03-01 13:57
    Can not recreate the results with K-Means-S
  • Issue comment#16NazilaPourhaji2025-01-12 08:09
    How can I fine-tune the model on my own data?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 34 stars here means stars gained during the window, not the repo's star count.