RobustVideoMatting
Video Matting Library
An implementation of video matting with temporal guidance using recurrent neural networks and various deep learning frameworks.
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
9k stars
140 watching
1k forks
Language: Python
last commit: 9 months ago aicomputer-visiondeep-learningmachine-learningmatting
Related projects:
| Repository | Description | Stars |
|---|---|---|
 senguptaumd/background-matting | Background removal technique to separate an object from its background in images and videos | 4,790 |
 facebookresearch/slowfast | Provides state-of-the-art video understanding codebase with efficient training methods and pre-trained models for various tasks | 6,680 |
 jwyang/faster-rcnn.pytorch | An object detection implementation built on top of PyTorch, supporting multi-image batch training and multiple GPUs. | 7,721 |
 zhkkke/modnet | A real-time portrait image matting solution in Python | 3,865 |
 baowenbo/dain | A video interpolation technique that uses depth cues to predict intermediate frames in videos | 8,243 |
 nvidia/vid2vid | A PyTorch implementation of a video-to-video translation method for generating photorealistic videos from semantic label maps or other input data. | 8,623 |
 doubiiu/dynamicrafter | This project generates animated videos from open-domain images by leveraging pre-trained video diffusion priors. | 2,668 |
 robustfieldautonomylab/lego-loam | A lightweight system for estimating the 6D pose of a ground vehicle based on lidar and inertial data from a mounted sensor. | 2,441 |
 donnyyou/torchcv | A comprehensive PyTorch-based framework for computer vision tasks | 2,249 |
 netflix/vmaf | An Emmy-winning video quality assessment algorithm developed by Netflix. | 4,700 |
 rbgirshick/rcnn | A visual object detection system that combines region proposals with neural network features to improve detection performance. | 2,381 |
 hendrycks/robustness | Evaluates and benchmarks the robustness of deep learning models to various corruptions and perturbations in computer vision tasks. | 1,030 |
 jacobgil/pytorch-grad-cam | A package providing advanced explainability methods for deep learning models in computer vision | 10,781 |
 charlesshang/fastmaskrcnn | An implementation of Mask R-CNN in TensorFlow, enabling object detection and segmentation using pre-trained models. | 3,100 |
 cszn/kair | Image restoration toolbox with training and testing codes for various deep learning-based methods | 2,994 |