Pinned Repositories
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
torchac
Entropy coding / arithmetic coding for PyTorch
ddddm-pr's Repositories
ddddm-pr/torchac
Entropy coding / arithmetic coding for PyTorch
ddddm-pr/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.
ddddm-pr/bookish-carnival
ddddm-pr/congenial-computing-machine
ddddm-pr/dafc
ICMEW:A_Generative_Compression_Framework_For_Low_Bandwidth_Video_Conference
ddddm-pr/Deep-Image-Compression-Video-Coding
Recent papers and codes related to deep learning/deep neural network based image compression and video coding framework.
ddddm-pr/DVC-PyTorch
A PyTorch implementation of DVC（DVC: An End-to-end Deep Video Compression Framework）
ddddm-pr/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
ddddm-pr/PLVC
ddddm-pr/pytorch-spynet
a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch
ddddm-pr/PyTorchVideoCompression
PyTorch implementation and benchmark of Video Compression
ddddm-pr/super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
ddddm-pr/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)
ddddm-pr/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.
ddddm-pr/Video_Compression