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Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation (NeurIPS2023)

active 2023-10-192025-08-31 (UTC)

Complete coverage26,513 / 26,513 hourly files (100%) · 2 absent upstream2023-08-152026-08-23 (UTC)
Events
161
Pushes
5
Pull requests
0
Issues
10
Stars
129
Forks
4

Activity over time

Daily event counts in the loaded window

Line chart, 683 days from 2023-10-19 to 2025-08-31. Pushes: 5 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 10 total, peak 1 in a day. Comments: 12 total, peak 6 in a day. Stars: 129 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

ContributorContributionsPushesPRsComments
quang-ngh9105
anhttran3300
huak953002
theignorantt2002
zackhxn1000
zbf19911001
percy41000
siyueyu1000
khoindm1100
ChunmengLiu11000
tranxuantuyen1001
Jumponthemoon1000
pluinyiasnhg1001
TheDarkKnight-21th1000

Recent activity

Latest issues, pull requests and releases

  • Issue#7percy42024-09-25 06:37
    about prompts.json
  • Issue#6quang-ngh2024-07-04 19:00
    Unexpected key in source state_dict issue.
  • Issue#6TheDarkKnight-21th2024-06-26 07:28
    Unexpected key in source state_dict issue.
  • Issue comment#1zbf19912024-05-16 07:34
    Meet problem when reproduce the performance reported in the paper.
  • Issue#5ChunmengLiu12024-05-03 20:46
    How to generate prompts.json
  • Issue comment#3quang-ngh2024-04-23 07:22
    `aggregate_attention` default parameter are wrong?
  • Issue#3quang-ngh2024-04-23 07:22
    `aggregate_attention` default parameter are wrong?
  • Issue comment#3pluinyiasnhg2024-04-23 00:47
    `aggregate_attention` default parameter are wrong?
  • Issue#4Jumponthemoon2024-04-12 10:30
    Class prompt cross attention
  • Issue#2quang-ngh2024-03-26 05:22
    Which SDmodel do you use?
  • Issue comment#1theignorantt2024-03-25 06:56
    Meet problem when reproduce the performance reported in the paper.
  • Issue comment#1quang-ngh2024-03-25 06:38
    Meet problem when reproduce the performance reported in the paper.
  • Issue comment#2quang-ngh2024-03-25 06:37
    Which SDmodel do you use?
  • Issue comment#3quang-ngh2024-03-25 06:34
    `aggregate_attention` default parameter are wrong?
  • Issue comment#3huak952024-03-25 04:47
    `aggregate_attention` default parameter are wrong?
  • Issue comment#2huak952024-03-25 04:43
    Which SDmodel do you use?
  • Issue comment#3quang-ngh2024-03-24 14:16
    `aggregate_attention` default parameter are wrong?
  • Issue comment#1theignorantt2024-03-07 08:30
    Meet problem when reproduce the performance reported in the paper.
  • Issue#3huak952024-03-03 04:27
    `aggregate_attention` default parameter are wrong?
  • Issue#2zackhxn2024-01-22 05:44
    Which SDmodel do you use?
  • Issue comment#1tranxuantuyen2024-01-15 12:05
    Meet problem when reproduce the performance reported in the paper.
  • Issue#1siyueyu2023-12-12 07:36
    Meet problem when reproduce the performance reported in the paper.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 129 stars here means stars gained during the window, not the repo's star count.