Stars
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
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
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
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