JiangBoCS / APD-Nets
Image denoising methods using deep neural networks have achieved a great progress in the image restoration. However, the recovered images restored by these deep denoising methods usually suffer from severe over-smoothness, artifacts, and detail loss. To improve the quality of restored images, we first propose Supplemental Priors (SP) method to a…
☆11Updated 2 years ago
Alternatives and similar repositories for APD-Nets:
Users that are interested in APD-Nets are comparing it to the libraries listed below
- Official Pytorch Code for "Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN" - MICCAI 2022 Workshop☆16Updated 4 months ago
- Medical image super-resolution with feedback adaptive weighting dense network☆9Updated 4 years ago
- A cross Transformer for image denoising(Information Fusion, 2024)☆63Updated 5 months ago
- This is the official implementation of state-of-the-art medical image denoising method titled as "Dynamic Residual Attention Network (DRA…☆38Updated last year
- Code and models for "Rethinking Deep Image Prior for Denoising" (ICCV 2021)☆51Updated 3 years ago
- DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation☆12Updated 2 years ago
- Project Page for ICCV21 Paper: Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution☆21Updated 3 years ago
- High-Quality Self-Supervised Deep Image Denoising - Unofficial PyTorch implementation of the NeurIPS 2019 paper☆67Updated 4 years ago
- Adaptive Consistency Prior based Deep Network for Image Denoising (CVPR 2021, Oral)☆64Updated 3 years ago
- The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow☆47Updated last year
- This repository is a PyTorch version of "Soft-edge Assisted Network for Single Image Super-Resolution". (IEEE TNNLS 2020)☆35Updated 3 years ago
- Layered Input Gradient Network for Image Denoising☆11Updated 3 years ago
- Official Pytorch implementation of "Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising" (MICCAI 2022)☆20Updated 2 years ago
- This repository is an official PyTorch implementation of the paper "Dual Convolutional Neural Networks for Low-Level Vision"☆16Updated 3 years ago
- 【MICCAI 2021, Early accept】Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network☆49Updated 3 years ago
- Official implementation of the paper "CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise f…☆75Updated last year
- A Residual Dense U-net Neural Networkfor Image Denoising☆53Updated 3 years ago
- This repository is an official PyTorch implementation of the paper "Progressive Feature Fusion Network for Realistic Image Dehazing". (AC…☆18Updated 5 years ago
- This repository contains the entire pipline (including data preprocessing, training, testing, evaluation and visualization) for the Shear…☆11Updated 5 years ago
- Official code of "Deep Variational Network Toward Blind Image Restoration".☆48Updated 6 months ago
- The source code and dataset of 'Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution' (MICCAI 2020).☆16Updated 2 years ago
- End-to-End Unpaired Image Denoising with Conditional Adversarial Networks (AAAI-20)☆24Updated 4 years ago
- Sobel edge detection implemented on PyTorch☆39Updated 4 years ago
- ☆17Updated last year
- Official Code for Hybrid Spectral Denoising Transformer with Guided Attention (ICCV 2023)☆48Updated last year
- [ICCV2023] The Devil is in the upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior☆23Updated last year
- Low-Dose CT Denoising using Octave Convolution☆8Updated 4 years ago
- Relative Total Variation(a method for structure extraction from texture)☆19Updated 9 months ago
- Official Pytorch Implementation for "SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Image Deraining"☆26Updated 2 years ago
- Official PyTorch implementation of Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRI☆16Updated last year