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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

bjontegaard_metric

Bjontegaard metric calculation. Include BD-PSNR and BD-rate

books

技术书籍

cph

A large-scale database for CU partition of HEVC (CPH), at both intra- and inter-modes.

cpih

A large-scale database for CTU partition of intra-mode HEVC (CPIH)

cppidioms

dlr-scosa-autoencoders

This research is part of ScOSA (Scalable On-Board Computing for Space Avionics), the DLR (German Aerospace Center) research project dealing with on-board computers as a distributed system, which will be part of a DLR CubeSat mission. The research evaluates the efficiency of various autoencoder neural networks for image compression regarding satelli

dmp-hevc-icme2021

Depth Map Prediction for Fast Block Partitioning in HEVC

dvc

DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)

f265

f265: original website:http://f265.org/

fpcnn

FINCH Predictive Coding Neural Network. A full end-to-end implementation of the CSNN state-of-the-art compression algorithm for hyperspectral image data.

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.

hevc-cu-depths-prediction-cnn

Using convolutional neural networks to predict the Coding Units (CUs) depths in HEVC intra-prediction mode, in order to reduce the time of the encoding process in HEVC.

hevc-deep-learning-pipeline

Integrating neural network models in HEVC encoder, to test the complexity reduction using deep learning in HEVC intra-prediction.

hm16.9-nn_fme

My fork of HEVC reference software (HM16.9) which applies a Neural Network based Fractional-Pixel Motion Estimation

hyperspectral-dequantization

Code from paper High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction

hyperspectral-image-compression

hyperspectral-image-compression-1

Hyperspectral Image Compression and Classification

icspcodec

Implementation of video codec based on H.261

image-compression-and-video-coding

imagecomcsnn

To achieve efficient lossless compression of hyperspectral images, we design a concatenated neural network capable of extracting both spatial and spectral correlations for accurate pixel value prediction.

jp2-python

JPEG2000/JP2 Image Compression Codec using Python,NumPy,PyDWT

luminance-guided-chrominance-enhancement-for-hevc-intra-coding

The official code implementation of paper ‘Luminance-Guided Chrominance Enhancement for HEVC Intra Coding’ ISCAS 2022

mblbcs2023

Repository with the models to replicate the results from the paper "Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images using Deep Learning" by Sebastià Mijares i Verdú, Johannes Ballé, Valero Laparra, Joan Bartrina-Rapesta, Miguel Hernández-Cabronero, and Joan Serra-Sagristà.

pmp-vvc-tip2023

Partition Map Prediction for Fast Block Partitioning in VVC Intra-frame Coding

rk-ccsnet

ECCV 2020: Runge-Kutta Convolutional Compressed Sensing Network for Deep Compressed Sensing

screen_recorder

thinkinginsimd

An essay comparing performance implications of ignoring AVX acceleration

vtm_intra_cnn_lgbm_patch