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hat

CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer

hesic

Official Code of "Deep Homography for Efficient Stereo Image Compression"[cvpr21oral]. vx: ywz978020607

hnerv

A hybrid neural representation for videos

ifnnsr

This is the implementation of paper "Xue, S., et al., Faster Image Super-Resolution by Improved Frequency Domain Neural Networks. Signal, Image and Video Processing, submitted, 2019."

imagecompression_adversarial

imagecompressionlearnedliftingandlearnedtreebasedmodels

This repo includes the code files for IMAGE COMPRESSION WITH LEARNED LIFTING-BASED DWT AND LEARNED TREE-BASED ENTROPY MODELS paper

improving-inference-for-neural-image-compression

Official code repo for NeurIPS 2020 paper "Improving Inference for Neural Image Compression"

insp

[NeurIPS 2022] "Signal Processing for Implicit Neural Representations" by Dejia Xu*, Peihao Wang*, Yifan Jiang, Zhiwen Fan, Zhangyang Wang

l3c-pytorch

PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"

l_inf-dist-net-v2

[ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies

lihang-code

《统计学习方法》的代码实现

lilnetx

Official PyTorch implementation of LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification

lossy-vae

Authors' PyTorch implementation of a number of lossy image compression methods that are based on hierarchical VAEs

lte

Local Texture Estimator for Implicit Representation Function, in CVPR 2022

m-lvc_cvpr2020

maffsrn

memsr

MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution

mimo-pytorch

PyTorch Implementation of MIMO (ICLR 2021)

mobilesr-ntire2022

Pytorch code for MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution

multi-scale-method-based-bit-plane-slicing

This is the supplementary result for ICIP_2021

necst

Neural Joint-Source Channel Coding

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

neural-syntax-code

ntscc_jsac22

o266player

ofdm-guided-jscc

Code for paper 'OFDM-guided Deep Joint Source Channel Coding for Wireless Multipath Fading Channels', IEEE TCCN

phd-thesis

prednet

Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"

prml

PRML algorithms implemented in Python

pytorch-tensor-decompositions

PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.