Use new Generative AI Tech to remove Watermarks from Video, its ProPainter … and yup, you can try it for FREE!
Full Article: 2309.03897v1.pdf (arxiv.org)
Authors Citation: @inproceedings{zhou2023propainter,
title={{ProPainter}: Improving Propagation and Transformer for Video Inpainting}, author={Zhou, Shangchen and Li, Chongyi and Chan, Kelvin C.K and Loy, Chen Change}, booktitle={Proceedings of IEEE International Conference on Computer Vision (ICCV)}, year={2023}}
DISCLAIMER: It may not be legal to remove watermarks from content and publish it as your own. In the colab example below, we remove ‘Shutterstock’ watermark from a video. If you are a representative of Shutterstock, I encourage you reach out to me to discuss how to combat this and prevent losing your business.
Video inpainting is a challenging computer vision task that involves filling in missing or corrupted regions in a video sequence while maintaining spatial and temporal coherence. This technique finds applications in video completion, object removal, video restoration, and more. In recent years, two prominent mechanisms have emerged for video inpainting: flow-based propagation and spatiotemporal Transformers. While these approaches have shown promise, they have their limitations, such as spatial misalignment, limited temporal range, and high…
