ProPainter is a video inpainting project based on the ICCV 2023 paper “Improving Propagation and Transformer for Video Inpainting.” It is designed to remove objects, complete missing regions, and fill masked areas in videos while preserving temporal consistency. The project accepts video input or split frames along with frame-wise masks that define the areas to reconstruct. It provides pretrained models, example inputs, inference scripts, and an interactive demo workflow for object removal. The repository also includes memory-efficient inference features to reduce GPU out-of-memory issues during video processing. ProPainter is useful for research, video editing experiments, object removal prototypes, and completion tasks where consistent motion is important.

Features

  • Video object removal
  • Masked video completion
  • Frame-wise mask input support
  • Interactive object removal demo
  • Memory-efficient inference options
  • Pretrained model download support

Project Samples

Project Activity

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Categories

Video Editing

License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python Video Editing Software

Registered

2026-07-02