tukilabs / 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…
☆27Updated 3 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
- ☆80Updated 4 years ago
- Recent papers and codes related to deep learning/deep neural network based image compression and video coding framework.☆153Updated 2 years ago
- [TIP'2021 - MMM'2020] Down-Sampling Based Video Coding with Degradation-aware Restoration-Reconstruction Deep Neural Network☆32Updated 3 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
- ☆51Updated last year
- PyTorch implementation of Learning Convolutional Networks for Content-Weighted Image Compression☆22Updated 2 years ago
- ☆127Updated last year
- ☆21Updated 3 years ago
- A PyTorch implementation of DVC（DVC: An End-to-end Deep Video Compression Framework）☆55Updated 2 years ago
- Lossy compression; Variable rate compresson; Lossless compression;☆62Updated 2 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 last year
- ☆40Updated 2 years ago
- Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"☆146Updated 4 years ago
- Official implementation of the "Efficient Video Compression via Content-Adaptive Super-Resolution" paper in Tensorflow.☆66Updated 3 years ago
- ☆26Updated last year
- Partition-Aware Adaptive Switching Neural Networks for Post-Processing in HEVC☆18Updated last year
- Spatio-Temporal Entropy Model (STEM) for end-to-end leaned video compression.☆29Updated last year
- ☆61Updated 2 years ago
- ☆62Updated 5 years ago
- Unofficial PyTorch implementation of "FVC: A New Framework towards Deep Video Compression in Feature Space"☆15Updated 2 years ago
- Deep learning for video compression.☆42Updated 5 years ago
- The training data of learned image compression. The data is from flicker.com.☆36Updated 3 years ago
- ☆54Updated 10 months ago
- Research on Video Compression☆24Updated last month
- ☆71Updated 3 years ago
- Context-adaptive neural network based prediction for image compression https://arxiv.org/abs/1807.06244☆24Updated 4 years ago
- ☆28Updated 2 years ago
- Slimmable Compressive Autoencoders for Practical Neural Image Compression☆51Updated 3 years ago
- Learning-based Just-noticeable-quantization-distortion Model for perceptual video coding☆30Updated 4 years ago
- ☆23Updated last year