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HKU-HealthAI/DRDD

CVPR 2026 Decoupled Residual Denoising Diffusion Models for Unified and Data-Efficient Image-to-Image Translation

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Python
41
3
2 contributors
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Momentum

How fast HKU-HealthAI/DRDD 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

Aug 31 – Oct 27, 2026

Stars +6 in 58 days

01
1

Forks +1 in 58 days

01
1

Merged PRs 0 in 58 days

01

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

Not in the Trendshift top 25 in this period

Aug 31Sep 8Sep 16Sep 24Oct 2Oct 10Oct 18Oct 26
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, Aug 31, 2026+1+00
Tue, Sep 1, 2026+0+00
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Fri, Sep 4, 2026+0+00
Sat, Sep 5, 2026+1+00
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Mon, Sep 7, 2026+0+00
Tue, Sep 8, 2026+0+00
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Thu, Sep 10, 2026+0+10
Fri, Sep 11, 2026+1+00
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Mon, Sep 28, 2026+1+00
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Mon, Oct 12, 2026+1+00
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Sat, Oct 17, 2026+0+00
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Tue, Oct 27, 2026+1+00
Total+6+10
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Jun 71 post

    • New paper: Decoupled Residual Denoising Diffusion Models for Unified and Data-Efficient Image-to-Image Translation We reveal a new role of Gaussian noise in diffusion models: beyond denoising, it can…

      Read full on X, posted by @LiangqiongQ

      @LiangqiongQ · x.com

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