Mixup Augmentation Frameworks Diffusion Models
There are 12 mixup augmentation frameworks models tracked. The highest-rated is WinfredGe/T2S at 44/100 with 71 stars.
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| # | Model | Score | Tier |
|---|---|---|---|
| 1 |
WinfredGe/T2S
[IJCAI 2025] Official implementation of "T2S: High-resolution Time Series... |
|
Emerging |
| 2 |
monniert/dti-sprites
(ICCV 2021) Code for "Unsupervised Layered Image Decomposition into Object... |
|
Emerging |
| 3 |
Mukosame/AODA
Official implementation of "Adversarial Open Domain Adaptation for... |
|
Emerging |
| 4 |
shashankvkt/AlignMixup_CVPR22
Official Implementation of AlignMixup - CVPR 2022 |
|
Emerging |
| 5 |
JinXins/Adversarial-AutoMixup
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024... |
|
Emerging |
| 6 |
ValentinKoch/SVDNA
The github repository of the paper "Noise Transfer for Unsupervised Domain... |
|
Emerging |
| 7 |
xrenaa/DisCo
[ICLR2022] Code for "Learning Disentangled Representation by Exploiting... |
|
Experimental |
| 8 |
yhsure/riemannian-generative-decoder
Preprint | Previously at GenBio ICML 2025 |
|
Experimental |
| 9 |
OliverRensu/D-iGPT
[ICML 2024] This repository includes the official implementation of our... |
|
Experimental |
| 10 |
wildphoton/RandConv
Code for ICLR2021 paper "Robust and Generalizable Visual Representation... |
|
Experimental |
| 11 |
ExplainableML/ACVC
Official PyTorch implementation of CVPRW 2022 paper "Attention Consistency... |
|
Experimental |
| 12 |
xrenaa/CS-DisMo
[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised... |
|
Experimental |