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basicsr

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

bookish-carnival

congenial-computing-machine

dafc

ICMEW:A_Generative_Compression_Framework_For_Low_Bandwidth_Video_Conference

deep-image-compression-video-coding

Recent papers and codes related to deep learning/deep neural network based image compression and video coding framework.

dvc-pytorch

A PyTorch implementation of DVC（DVC: An End-to-end Deep Video Compression Framework）

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

plvc

pytorch-spynet

a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch

pytorchvideocompression

PyTorch implementation and benchmark of Video Compression

super-resolution

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

tfoptflow

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

torchac

Entropy coding / arithmetic coding for PyTorch

video-compression-net

A new approach to video compression by refining the shortcomings of conventional approach and substituting each traditional component with their neural network counterpart. Our proposed work consists of motion estimation, compression and compensation and residue compression, learned end-to-end to minimize the rate-distortion trade off. The whole model is jointly optimized using a single loss function. Our work is based on a standard method to exploit the spatio-temporal redundancy in video frames to reduce the bit rate along with the minimization of distortions in decoded frames. We implement a neural network version of conventional video compression approach and encode the redundant frames with lower number of bit.

video_compression