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RobustVideoMatting

9,135
1,187
Python

Project Description

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

RobustVideoMatting: Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

Project Title

RobustVideoMatting โ€” High-Resolution Video Matting with Temporal Guidance in Multiple Frameworks

Overview

RobustVideoMatting (RVM) is an open-source project designed for robust human video matting. It stands out from other solutions by utilizing a recurrent neural network to process videos with temporal memory, enabling real-time matting on any video without additional inputs. RVM achieves impressive performance metrics of 4K 76FPS and HD 104FPS on an Nvidia GTX 1080 Ti GPU.

Key Features

  • Real-time video matting without additional inputs
  • Temporal memory processing with recurrent neural networks
  • High performance: 4K 76FPS and HD 104FPS on Nvidia GTX 1080 Ti
  • Available in PyTorch, TensorFlow, TensorFlow.js, ONNX, and CoreML

Use Cases

  • Video editing professionals needing high-resolution, real-time background removal
  • Content creators and streamers for live video effects and background separation
  • Developers integrating video matting into applications for various industries

Advantages

  • High-resolution and high-frame-rate performance
  • Temporal guidance for more accurate matting results
  • Availability across multiple popular frameworks for flexibility in deployment

Limitations / Considerations

  • May require significant computational resources for real-time processing at high resolutions
  • Performance may vary depending on the complexity of the video content
  • License information is currently unknown, which could affect commercial use

Similar / Related Projects

  • OpenCV: A comprehensive computer vision library that includes video processing capabilities but does not specialize in video matting.
  • Adobe After Effects: A professional video editing software with advanced matting features, but not open-source and requires manual intervention.
  • DeepLab: A deep learning model for semantic image segmentation, which can be adapted for matting tasks but does not focus on video matting specifically.

Basic Information


๐Ÿ“Š Project Information

  • Project Name: RobustVideoMatting
  • GitHub URL: https://github.com/PeterL1n/RobustVideoMatting
  • Programming Language: Python
  • โญ Stars: 9,113
  • ๐Ÿด Forks: 1,184
  • ๐Ÿ“… Created: 2021-08-30
  • ๐Ÿ”„ Last Updated: 2025-10-01

๐Ÿท๏ธ Project Topics

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๐ŸŽฎ Online Demos

๐Ÿ“š Documentation

๐ŸŽฅ Video Tutorials


This article is automatically generated by AI based on GitHub project information and README content analysis

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Project Information

Created on 8/30/2021
Updated on 11/2/2025