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hevc-complexity-reduction

Source programs to test the deep-learning-based complexity reduction approach for HEVC, at both intra- and inter-modes.

hevc-cu-depths-dataset

A dataset that contains the Coding Unit image files and their corresponding depths for HEVC intra-prediction.

hexagdly

Process hexagonally sampled data with PyTorch

high-fidelity-generative-compression

Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

hlvc

igel

a machine learning tool that allows to train, test and use models without writing code

ignn

Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)

image-compression

This repo contains DCT,DWT & BTC image compression techniques implementation in python with all the results graphs and codes.

image-compression-and-video-coding

image-compression-cnn

Semantic JPEG image compression using deep convolutional neural network (CNN)

image-compression-using-graph-coloring

A research based project to optimize the graph coloring problem using the quantisation part of image compression and come up with a solution which is better than conventional algorithms for graph coloring.

image_compression_comparison

Image Compression Comparison Framework

improving-inference-for-neural-image-compression

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

inference-suboptimality

Code for 'Inference Suboptimality in Variational Autoencoders'

interpretable_cnns_via_feedforward_design

Official Implementation of Interpretable Convolutional Neural Networks via Feedforward Design Arxiv: https://arxiv.org/abs/1810.02786

interpretablecnn

invcompress

[ACMMM 2021 Oral] Enhanced Invertible Encoding for Learned Image Compression

ipopt

COIN-OR Interior Point Optimizer IPOPT

iseebetter

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

jpeg2000

Implement the algorithm of JPEG2000

knowledge

Contains information links, articles, research papers, tweets, blog posts, companies etc and everything which is even minutely related to the field of Artificial Intelligence, Distributed Computing, Quantum Computing and Physics, Evolutionary Biology, Crypto-currency, Virual and Augmented Reality etc.

knowledge-graph-base

Knowledge Graph Base (Machine Learning Project at Skoltech, Term 3, 2019)

kodak_compression_performance

Compression performance of BPG, JPEG, JPEG2000 and Webp.

konke-browser-central

l2g-neurips2021

l3c-pytorch

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

l3ic

[ICLR'20] Lightweight & high-performance learned image compression codec (Tensorflow).

lapsrn

Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)

lcic-pytorch

The codes of Layered Conceptual Image Compression via Semantic Synthesis

ldmm_graph_laplacian_pointcloud_denoise

3D point cloud denoising using graph Laplacian regularization of a low dimensional manifold model