trung-vt/LearningRegularizationParametersForTGV

"Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation" (https://arxiv.org/abs/2502.16532) by Thanh Trung Vu, Andreas Kofler, and Kostas Papafitsoros.

37
/ 100
Emerging
No Package No Dependents
Maintenance 6 / 25
Adoption 3 / 25
Maturity 16 / 25
Community 12 / 25

How are scores calculated?

Stars

4

Forks

1

Language

Jupyter Notebook

License

Apache-2.0

Category

image-denoising-networks

Last pushed

Oct 21, 2025

Commits (30d)

0

GitHub
Image Denoising Networks · 27 models

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/trung-vt/LearningRegularizationParametersForTGV"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

zhangyi-3/IDR

Self-Supervised Image Denoising via Iterative Data Refinement (CVPR2022)

50

yinboc/liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

47

XingangPan/deep-generative-prior

Code for deep generative prior (ECCV2020 oral)

46

mv-lab/swin2sr

[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. ...

45

eliahuhorwitz/DeepSIM

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single...

44

Explore Diffusion Models

All categories Trending Diffusion directory Insights