Alternatives and similar repositories for CVPR-CLIC-2018

Users that are interested in CVPR-CLIC-2018 are comparing it to the libraries listed below

• mdcnn / CVPR-CLIC-Challenge
  ☆10Updated 5 years ago
• flyywh / Image-compression-and-video-coding
  ☆168Updated 7 years ago
• chaoyuaw / pytorch-vcii
  Video Compression through Image Interpolation (ECCV'18) [PyTorch]
  ☆211Updated 6 years ago
• fab-jul / imgcomp-cvpr
  TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018
  ☆180Updated 6 years ago
• makbari7 / DSSLIC
  DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
  ☆47Updated 6 years ago
• limuhit / CWIC
  Image compression
  ☆17Updated 3 years ago
• ryangBUAA / MFQE
  ☆94Updated 5 years ago
• jorge-pessoa / pytorch-gdn
  PyTorch implementation of the Generalized divisive normalization non-linearity layer
  ☆93Updated 3 years ago
• RenYang-home / HLVC
  ☆133Updated 2 years ago
• zhiqiang-zhu / Image-Compression-Papers-and-Code
  ☆61Updated 6 years ago
• twhui / SRGAN-PyTorch
  An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
  ☆60Updated 4 years ago
• thierrydumas / autoencoder_based_image_compression
  Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371
  ☆19Updated 2 years ago
• haimengzhao / CAE-ADMM
  CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
  ☆47Updated 5 years ago
• adnortje / deepvideo
  Deep learning for video compression.
  ☆43Updated 5 years ago
• lxx1991 / pytorch-voxel-flow
  Video Frame Synthesis using Deep Voxel Flow
  ☆140Updated 6 years ago
• 1zb / pytorch-image-comp-rnn
  PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks
  ☆196Updated 2 years ago
• deeptimhe / Learning-based-Image-Video-Compression
  Recent papers and codes related to deep learning-based image/video compression. Mainly focus on top venues of machine learning / neural n…
  ☆29Updated 6 years ago
• mengab / MGANet-DCC2020
  PyTorch implementation of "MGANet & DCC2020 paper"
  ☆40Updated 4 years ago
• martkartasev / sepconv
  An implementation of Adaptive Separable Convolution for Video Frame Interpolation
  ☆132Updated 7 years ago
• thangvubk / PESR
  Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks
  ☆29Updated 6 years ago
• JooyoungLeeETRI / CA_Entropy_Model
  Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"
  ☆149Updated 5 years ago
• twtygqyy / pytorch-SRDenseNet
  Pytorch implementation for SRDenseNet (ICCV2017)
  ☆68Updated 7 years ago
• idearibosome / tf-perceptual-eusr
  A TensorFlow-based image super-resolution model considering both quantitative and perceptual quality
  ☆45Updated 4 years ago
• compression-framework / compression_framwork_for_tesing
  ☆29Updated 8 years ago
• subeeshvasu / 2018_subeesh_epsr_eccvw
  Project page of the paper 'Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network' (ECCVW 2018)
  ☆80Updated 5 years ago
• Vandermode / pytorch-MemNet
  pytorch reimplementation of basic architecture of MemNet
  ☆28Updated 6 years ago
• kligvasser / xUnit
  Learning a Spatial Activation Function for Efficient Image Restoration
  ☆88Updated 4 years ago
• Zheng222 / IDN-Caffe
  Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
  ☆120Updated 6 years ago
• thierrydumas / context_adaptive_neural_network_based_prediction
  Context-adaptive neural network based prediction for image compression https://arxiv.org/abs/1807.06244
  ☆24Updated 5 years ago
• mitscha / dplc
  Deep generative models for distribution-preserving lossy compression
  ☆33Updated 6 years ago