propainter
Maintainer: jd7h
2
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | View on Github |
| Paper link | View on Arxiv |
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Model overview
ProPainter is an AI model developed by researchers at the S-Lab of Nanyang Technological University for object removal, video completion, and video outpainting. The model builds upon prior work on video inpainting like xmem-propainter-inpainting and object-removal, with improvements to the propagation and transformer components. ProPainter can be used to seamlessly fill in missing regions in videos, remove unwanted objects, and even extend video frames beyond their original boundaries.
Model inputs and outputs
ProPainter takes in a video file and an optional mask file as inputs. The mask can be a static image or a video, and it specifies the regions to be inpainted or outpainted. The model outputs a completed or extended video, addressing the specified missing or unwanted regions.
Inputs
- Video: The input video file to be processed.
- Mask: An optional mask file (image or video) indicating the regions to be inpainted or outpainted.
Outputs
- Completed/Extended Video: The output video with the specified regions filled in or extended.
Capabilities
ProPainter excels at both object removal and video completion tasks. For object removal, the model can seamlessly remove unwanted objects from a video while preserving the surrounding context. For video completion, ProPainter can fill in missing regions caused by occlusions or artifacts, generating plausible content that blends seamlessly with the original video.
What can I use it for?
The ProPainter model can be useful for a variety of video editing and post-production tasks. For example, you could use it to remove unwanted objects or logos from videos, fill in missing regions caused by camera obstructions, or even extend the boundaries of a video to create new content. These capabilities make ProPainter a valuable tool for filmmakers, video editors, and content creators who need to enhance the quality and appearance of their video footage.
Things to try
One interesting aspect of ProPainter is its ability to perform video outpainting, where the model can extend the video frames beyond their original boundaries. This could be useful for creating cinematic video expansions or generating new content to fit specific aspect ratios or dimensions. Additionally, the model's memory-efficient inference features, such as adjustable neighbor length and reference stride, make it possible to process longer videos without running into GPU memory constraints.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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