This is official Pytorch implementation of "SuperFusion: A Versatile Image Registration and Fusion Network with Semantic Awareness"

Multimodal image fusion using coupled feature learning based on convolutional sparse coding

Lightweight Multi-Level Multi-Scale Feature Fusion Network for Semantic Segmentation

Super-resolution of multiphase materials by combining complementary 2D and 3D image data using generative adversarial networks

SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"

Unofficial implementation Satellite Image Prediction Relying on GAN and LSTM Neural Networks

[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement

Codes for MSID (KBS2023)

The study of hydrodynamic behavior and water-rock interaction mechanisms is typically characterized by high computational efficiency requirements, to allow for the fast and accurate extraction of s…

Cross-domain heterogeneous residual network for single image super-resolution

TXM2SEM Image Translation

DDcGAN: A Dual-discriminator Conditional Generative Adversarial Network for Multi-resolution Image Fusion / Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Genera…

Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained SR Track1&Track2)

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…

Repository for the paper ENHANCING RESOLUTION OF MICRO-CT IMAGES OF RESERVOIR ROCKS USING SUPER RESOLUTION

PyTorch code for our ICLR 2023 paper "Accurate Image Restoration with Attention Retractable Transformer".

Efficient Deep Neural Network for Photo-realistic Image Super-Resolution

Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution

Image Super-resolution with An Enhanced Group Convolutional Neural Network (Neural Networks, 2022)

Structure and Illumination Constrained GAN forMedical Image Quality Enhancement