PyTorch code for our paper "Lightweight Image Super-Resolution with Adaptive Weighted Learning Network"
A spatial-spectral prior deep network for single hyperspectral image super-resolution (IEEE TCI)
Medical Named Entity Recognition implement using bi-directional lstm and crf model with char embedding.CCKS2017中文电子病例命名实体识别项目,主要实现使用了基于字向量的四层双向LSTM与CRF模型的网络.该项目提供了原始训练数据样本(一般醒目,出院情况,病史情况,病史特点,诊疗经过)与转换版本,训练脚本,预训练模型,可用于序列标注研究.把玩和PK使用.
PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).
Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained SR Track1&Track2)
Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.
ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution
Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738
Repository for "Learning Parallax Attention for Stereo Image Super-Resolution", CVPR 2019
Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020)
The Keras Re-implementation of the awesome “Zero-Shot” Super-Resolution using Deep Internal Learning
Pytorch implementation and suggestions for improvement of "Zero-Shot" Super-Resolution using Deep Internal Learning
SRMD training, testing, model checking, model converting derived from cszn/KAIR (SRMD超分辨率模型pytorch)
Khronos-reference front end for GLSL/ESSL, partial front end for HLSL, and a SPIR-V generator.
