AI video enhancement

KEEP is a video face super-resolution framework based on the principle of Kalman filtering, which aims to maintain a temporally stable face prior through feature propagation. It guides and regulates the restoration process of the current frame by fusing information from previously restored frames, effectively capturing consistent face details across video frames.

KREA AI - Enhancer is an online video and image enhancement tool that uses AI technology to improve the clarity and quality of videos and images. It helps users improve visual content through real-time processing and is suitable for professionals and enthusiasts who need high-quality visual materials. Product background information shows that KREA AI - Enhancer is optimized through AI algorithms and can provide high-quality output in a short time, making it an ideal choice for content creators and editors.

GoEnhance AI is an artificial intelligence-based image and video enhancement tool. It can implement functions such as video-to-video, image enhancement, and super-resolution scaling. GoEnhance AI uses state-of-the-art deep learning algorithms to enhance and upsample images to extreme detail and high resolution. It is simple to use and powerful, and is an excellent tool for creators, designers and other users to release their creativity.

FLATTEN is an optical flow-guided attention plugin for text-to-video editing. It solves the consistency problem in text-to-video editing by introducing optical flow in U-Net of diffusion model. FLATTEN improves the visual consistency of edited videos by forcing patches on the same optical flow path on different frames to pay attention to each other in the attention module. Furthermore, FLATTEN is training-free and can be seamlessly integrated into any diffusion-based text-to-video editing method and improves its visual consistency. Experimental results show that our proposed method achieves state-of-the-art performance on existing text-to-video editing benchmarks. In particular, our method performs well in maintaining the visual consistency of edited videos.

ProPainter is an advanced model for video restoration. It combines enhanced propagation and Transformer mechanisms to quickly and efficiently perform tasks such as video repair, object removal, and watermark removal. ProPainter improves performance and efficiency through dual-domain propagation and sparse Transformers, which can significantly improve PSNR values ​​by 1.46 dB while maintaining good results. This model is suitable for a wide range of video repair scenarios, with flexible and reasonable pricing.

Frame Interpolation is a high-quality inter-frame interpolation neural network model. The model adopts a unified single-network approach that does not require additional pre-trained networks such as optical flow or deep networks, but still achieves state-of-the-art results. The model uses a multi-scale feature extractor that shares the same convolution weights at different scales. The model is trained only on frame triples.