A large-scale database for CU partition of HEVC (CPH), at both intra- and inter-modes.
☆65Oct 3, 2018Updated 7 years ago
Alternatives and similar repositories for CPH
Users that are interested in CPH are comparing it to the libraries listed below
Sorting:
- Source programs to test the deep-learning-based complexity reduction approach for HEVC, at both intra- and inter-modes.☆127Jul 22, 2020Updated 5 years ago
- A dataset that contains the Coding Unit image files and their corresponding depths for HEVC intra-prediction.☆32Nov 4, 2019Updated 6 years ago
- Integrating neural network models in HEVC encoder, to test the complexity reduction using deep learning in HEVC intra-prediction.☆56Dec 12, 2019Updated 6 years ago
- ☆16Apr 15, 2021Updated 4 years ago
- Visualize VVC(VTM) CU/TU partition☆27Jan 1, 2021Updated 5 years ago
- Using convolutional neural networks to predict the Coding Units (CUs) depths in HEVC intra-prediction mode, in order to reduce the time o…☆84Mar 17, 2020Updated 6 years ago
- Visualize HEVC CU partition and TU partition☆17Oct 16, 2019Updated 6 years ago
- ☆63Jul 7, 2019Updated 6 years ago
- ☆95Jun 27, 2020Updated 5 years ago
- Two-phase Scheme for Trimming QTMT CU Partition using Multi-branch Convolutional Neural Networks☆16Jul 4, 2021Updated 4 years ago
- PS-RNN for HEVC Intra Prediction☆15Apr 6, 2020Updated 5 years ago
- Code for paper "Improving Intra Prediction in High-Efficiency Video Coding"☆18Dec 6, 2017Updated 8 years ago
- Random Forest Models of Fast MTT Decision and Motion Estimation for Inter Coding of H.266/VVC☆12Mar 27, 2021Updated 4 years ago
- Repository of the paper "Attention-based Dual-scale CNN In-Loop Filter for Versatile Video Coding"☆18Apr 2, 2020Updated 5 years ago
- Code and data for "Content-aware Convolutional Neural Network for in-loop filtering in High Efficiency Video Coding." (TIP2019)☆26Feb 28, 2019Updated 7 years ago
- Official git for "Fast Affine Motion Estimation for Versatile Video Coding (VVC) Encoding"☆11Sep 14, 2020Updated 5 years ago
- A PyTorch implementation of [VCT](https://github.com/google-research/google-research/tree/master/vct)☆10Nov 25, 2022Updated 3 years ago
- DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)☆461Nov 6, 2021Updated 4 years ago
- ☆21Apr 11, 2021Updated 4 years ago
- DSSLIC: Deep Semantic Segmentation-based Layered Image Compression☆10Dec 10, 2018Updated 7 years ago
- Matlab and OpenCV Code Calculate JND of an image.☆14Apr 9, 2015Updated 10 years ago
- A PyTorch implementation of DVC（DVC: An End-to-end Deep Video Compression Framework）☆58Sep 9, 2022Updated 3 years ago
- The Backend Optimization of the JPEG-AI Verification Models☆16Dec 14, 2023Updated 2 years ago
- ☆19Jul 4, 2023Updated 2 years ago
- This page contains supplementary material for our paper entitled "COMPLEXITY ANALYSIS OF NEXT-GENERATION VVC ENCODING AND DECODING"☆18May 22, 2020Updated 5 years ago
- Gitl HEVC/H.265 Analyzer based on Qt. Custom filters supported.☆541Aug 28, 2017Updated 8 years ago
- ☆12Sep 30, 2022Updated 3 years ago
- A Hierarchical Deep Learning Approach for In-loop Filtering in Video Coding☆20Jul 9, 2019Updated 6 years ago
- Partition-Aware Adaptive Switching Neural Networks for Post-Processing in HEVC☆18Mar 24, 2023Updated 2 years ago
- 关于视频编解码学习资料☆493Sep 21, 2025Updated 6 months ago
- Generate animated visualizations for optical flow fields☆19May 26, 2023Updated 2 years ago
- Learning-based Just-noticeable-quantization-distortion Model for perceptual video coding☆32Dec 2, 2020Updated 5 years ago
- PyTorch implementation of "MGANet & DCC2020 paper"☆40Sep 29, 2020Updated 5 years ago
- Image compression codecs benchmark inspired by Google's "Full Resolution Image Compression with Recurrent Neural Networks"☆42Oct 26, 2016Updated 9 years ago
- Code database with the implementation of MSE-CNN, from the paper "DeepQTMT: A Deep Learning Approach for Fast QTMT-based CU Partition of …☆15Apr 10, 2025Updated 11 months ago
- PyTorch implementation and benchmark of Video Compression☆389Apr 25, 2024Updated last year
- A PyTorch library and evaluation platform for end-to-end compression research☆1,539Mar 12, 2026Updated last week
- LGBM ：推导原理、参数含义、超参数设置（网格、随机、贝叶斯搜索）☆12Jan 15, 2019Updated 7 years ago
- ☆25Oct 17, 2023Updated 2 years ago