jjjjjgggj

jjjjjgggj's Stars

• SUDO-AI-3D/zero123plus

  Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

  Language:Python1.9k3182126

• wyhuai/DDNM

  [ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

  Language:Python1.2k257992

• IGITUGraz/WeatherDiffusion

  Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]

  Language:Python37493134

• Li-Chongyi/Zero-DCE_extension

  Language:Python36922560

• greatlog/UnpairedSR

  This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https://arxiv.org/abs/2203.04962)

  Language:Python16644312

• StanfordMIMI/DDM2

  [ICLR2023] Official repository of DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

  Language:Python16623821

• XY-boy/EDiffSR

  [IEEE TGRS 2024] EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution

  Language:Python15892211

• houguanqun/Low-Dose-CT-denoising

  Code and papers for Low-Dose CT denoising

  Language:Python985128

• LYL1015/ResDiff

  Code of "ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution"

  Language:Python71006

• wdayang/CTformer

  This repository includes implementation of CTformer on Low-dose CT Denoising

  Language:Python7031610

• DeepXuan/Dn-Dp

  Language:Python611106

• BioMedAI-UCSC/InverseSR

  [Early Accepted at MICCAI 2023] Pytorch Code of "InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model"

  Language:Python592167

• edshkim98/DiffusionIQT

  An official repository for 'A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI' presented at NeurIPS DGM4H 2023

  Language:Python11201

• yernat-assylbekov/Artifact-Removal-with-CNN-in-Low-Dose-Computed-Tomography

  Removing artifacts with U-Net type network in low dose CT

  Language:Python7203

• uncbiag/diffusion-3D-discovery

  Language:Python6101

• ACME-group-CMU/diffusion_sofc_3d

  Language:Python1100