tukilabs / Video-Compression-NetLinks
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…
☆29Updated 4 years ago
Alternatives and similar repositories for Video-Compression-Net
Users that are interested in Video-Compression-Net are comparing it to the libraries listed below
Sorting:
- Recent papers and codes related to deep learning/deep neural network based image compression and video coding framework.☆161Updated 3 years ago
- ☆239Updated 2 years ago
- PyTorch implementation and benchmark of Video Compression☆368Updated last year
- Code and data for "Content-aware Convolutional Neural Network for in-loop filtering in High Efficiency Video Coding." (TIP2019)☆25Updated 6 years ago
- ☆132Updated last year
- DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)☆439Updated 3 years ago
- ☆52Updated last year
- Repository of the paper "Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules"☆201Updated 5 years ago
- Project page for the paper: "Liu C, Sun H, Katto J, et al.Learned Video Compression with Residual Prediction and Loop Filter"☆25Updated 3 years ago
- ☆81Updated 5 years ago
- Official implementation of the "Efficient Video Compression via Content-Adaptive Super-Resolution" paper in Tensorflow.☆70Updated 3 years ago
- A PyTorch implementation of DVC(DVC: An End-to-end Deep Video Compression Framework)☆55Updated 2 years ago
- Official implementation of "Deep Neural Network-based Fast Inter CU Splitting Algorithm for Versatile Video Coding (VVC) Standard"☆31Updated 2 years ago
- Lossy compression; Variable rate compresson; Lossless compression;☆62Updated 2 years ago
- ☆62Updated 3 years ago
- The project page of the paper: Ren Yang, Xiaoyan Sun, Mai Xu and Wenjun Zeng, "Quality-Gated Convolutional LSTM for Enhancing Compressed…☆45Updated 4 months ago
- ☆72Updated 3 years ago
- Source programs to test the deep-learning-based complexity reduction approach for HEVC, at both intra- and inter-modes.☆128Updated 5 years ago
- ☆62Updated 6 years ago
- Research on Video Compression☆28Updated 2 months ago
- Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"☆146Updated 5 years ago
- End-to-End Learnt Image Compression Codec☆52Updated 2 years ago
- Bjontegaard metric calculation. Include BD-PSNR and BD-rate☆153Updated 5 years ago
- Spatio-Temporal Entropy Model (STEM) for end-to-end leaned video compression.☆29Updated 2 years ago
- PyTorch implementation of Learning Convolutional Networks for Content-Weighted Image Compression☆22Updated 3 years ago
- High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation☆72Updated last year
- Context-adaptive neural network based prediction for image compression https://arxiv.org/abs/1807.06244☆24Updated 5 years ago
- Integrating neural network models in HEVC encoder, to test the complexity reduction using deep learning in HEVC intra-prediction.☆56Updated 5 years ago
- Implementation of "Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement" (AAAI'20).☆169Updated 2 years ago
- Pytorch implementation of the paper "The Devil Is in the Details: Window-based Attention for Image Compression".☆187Updated last year