VirtualCodecNetwork / CVPR-CLIC-2018

Related projects ⓘ

Alternatives and complementary repositories for CVPR-CLIC-2018

• mdcnn / CVPR-CLIC-Challenge
  ☆9Updated 4 years ago
• limuhit / CWIC
  Image compression
  ☆16Updated 3 years ago
• thangvubk / PESR
  Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks
  ☆28Updated 5 years ago
• Iamanorange / DSSLIC
  DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
  ☆9Updated 5 years ago
• kligvasser / xUnit
  Learning a Spatial Activation Function for Efficient Image Restoration
  ☆88Updated 3 years ago
• zhiqiang-zhu / Image-Compression-Papers-and-Code
  ☆59Updated 5 years ago
• makbari7 / DSSLIC
  DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
  ☆45Updated 5 years ago
• opteroncx / SESR
  SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks
  ☆28Updated 5 years ago
• williamchenwl / ImageCompression
  CNN Baseline for Image Compression
  ☆10Updated 5 years ago
• flyywh / Image-compression-and-video-coding
  ☆167Updated 6 years ago
• thierrydumas / autoencoder_based_image_compression
  Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371
  ☆19Updated last year
• mengab / MGANet-DCC2020
  PyTorch implementation of "MGANet & DCC2020 paper"
  ☆39Updated 4 years ago
• TalRemez / deep_class_aware_denoising
  ☆31Updated 7 years ago
• ryangBUAA / MFQE
  ☆91Updated 4 years ago
• mitscha / dplc
  Deep generative models for distribution-preserving lossy compression
  ☆33Updated 5 years ago
• linan142857 / BRCN
  A unofficial implementation of paper method that 'Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution'
  ☆41Updated 6 years ago
• twtygqyy / pytorch-SRDenseNet
  Pytorch implementation for SRDenseNet (ICCV2017)
  ☆67Updated 6 years ago
• fab-jul / imgcomp-cvpr
  TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018
  ☆181Updated 5 years ago
• BUPTLdy / Pytorch-LapSRN
  Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
  ☆42Updated 7 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 4 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…
  ☆28Updated 5 years ago
• jorge-pessoa / pytorch-gdn
  PyTorch implementation of the Generalized divisive normalization non-linearity layer
  ☆92Updated 3 years ago
• idearibosome / tf-perceptual-eusr
  A TensorFlow-based image super-resolution model considering both quantitative and perceptual quality
  ☆45Updated 3 years ago
• compression-framework / compression_framwork_for_tesing
  ☆29Updated 8 years ago
• waleedgondal / Texture-based-Super-Resolution-Network
  Pytorch implementation of Texture based Super-resolution Networks
  ☆33Updated 5 years ago
• cswin / WIN
  Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising
  ☆32Updated 7 years ago
• lukk47 / Super_resolution_Survey
  A survey of recent application of deep learning on super-resolution tasks
  ☆32Updated 6 years ago
• pnavarre / pirm-sr-2018
  Generative Multigrid Backprojection Super Resolution (G-MGBP) 2nd best perceptual quality in PIRM SR Challenge
  ☆36Updated 5 years ago
• subeeshvasu / 2018_subeesh_epsr_eccvw
  Project page of the paper 'Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network' (ECCVW 2018)
  ☆79Updated 4 years ago
• Ding-Liu / NLRN
  Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)
  ☆169Updated 5 years ago