AI Video Post-Production Tool ProPainter: One-Click Video Matting
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Recently, a new video inpainting technology called ProPainter has emerged, which can fill missing areas in videos with painterly brush strokes.
ProPainter is an end-to-end deep learning-based network consisting of two modules: the Recurrent Flow Completion Network and the Painterly Rendering Network.
Project address: https://github.com/sczhou/ProPainter
The Recurrent Flow Completion Network leverages spatiotemporal information in videos to predict optical flow for missing regions, enabling continuous and consistent video inpainting.
The Painterly Rendering Network generates painterly brush strokes based on optical flow and video frames, enhancing the visual quality and naturalness of video inpainting.
ProPainter has demonstrated excellent performance in various video inpainting tasks, including object removal, video completion, and watermark removal. It can handle missing regions of different types, sizes, and shapes while maintaining low memory consumption and runtime.
Key Features:
- Video Inpainting: ProPainter can repair missing areas in videos with painterly brush strokes, whether caused by object occlusion, damage, or watermarks.
- Painterly Style: ProPainter generates brush strokes of varying styles and granularity based on video content and optical flow, improving the visual effect and naturalness of video inpainting.
- Spatiotemporal Continuity: ProPainter utilizes spatiotemporal information in videos to predict optical flow for missing regions, ensuring continuity and consistency in video inpainting.