Unified Framework for Generalized Video Face Restoration
Submit and view evaluations of video models
Audio-based Lip Sync for Talking Head Video Editing
Dub videos into different languages
Create masks and inpaint video
Generate Talking avatars from Text-to-Speech
Generate 3D motion from text prompts
Stream audio/video in realtime with webrtc
interact with videos !
Generate videos from an image and text prompt
Generate realistic talking heads from image+audio
Fast Text 2 Video Generator
Generate a video from text with voice narration
SVFR Demo is a cutting-edge unified framework for generalized video face restoration. It is designed to generate restored video from low-quality input, focusing specifically on enhancing facial details and overall video quality. Whether the input video is blurry, pixelated, or degraded, SVFR Demo leverages advanced AI technology to produce high-quality, visually appealing results.
• Real-Time Processing: Quickly restore videos with minimal processing time.
• Face Enhancement: Automatically detect and enhance facial features for clearer visuals.
• Generalized Restoration: Effective for various types of video degradation, including blur, noise, and low resolution.
• Automated Face Detection: Seamlessly identifies faces in video frames.
• Temporal Consistency: Ensures smooth transitions between frames for natural-looking results.
• User-Friendly Interface: Easy-to-use web-based interface for seamless interaction.
What formats does SVFR Demo support?
SVFR Demo supports most common video formats, including MP4, AVI, and MOV. For a full list of supported formats, refer to the documentation.
Can SVFR Demo run on any device?
SVFR Demo is optimized for desktop and laptop computers with modern GPUs. It may not run efficiently on low-end devices or mobile phones.
How long does the restoration process take?
The processing time depends on the video length, resolution, and your system's hardware. For shorter videos, results are typically generated in real-time or within a few seconds. Larger videos may take longer.