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sunovivid/correction-training

Official implementation of "Correction Training for Diffusion Models"

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Python
81
3
2 contributors
website
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Momentum

How fast sunovivid/correction-training is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Oct 12 – Oct 24, 2026

Stars +77 in 13 days

01020
20

Forks +3 in 13 days

01
1

Merged PRs 0 in 13 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Oct 12Oct 14Oct 16Oct 18Oct 20Oct 22Oct 24
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Mon, Oct 12, 2026+0+00
Tue, Oct 13, 2026+7+00
Wed, Oct 14, 2026+20+00
Thu, Oct 15, 2026+11+10
Fri, Oct 16, 2026+5+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+2+00
Mon, Oct 19, 2026+11+10
Tue, Oct 20, 2026+4+00
Wed, Oct 21, 2026+4+00
Thu, Oct 22, 2026+10+00
Fri, Oct 23, 2026+3+10
Sat, Oct 24, 2026+0+00
Total+77+30
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Oct 132 posts

    • My personal takeaways: - Diffusion models suffer from exposure bias. Reducing the training–inference gap helps. - Finding a improving direction and applying it iteratively can be powerful! - CFG does…

      Read full on X, posted by @donghoon_ahn

      @donghoon_ahn · x.com

    • Can diffusion models generate high-quality images without CFG? Yes! We introduce ✨Correction Training for Diffusion Models✨, which significantly improves sample quality without relying on…

      Read full on X, posted by @donghoon_ahn

      @donghoon_ahn · x.com

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