Enhance and upscale images, especially faces
Facial expressions, 3D landmarks, embeddings, recognition.
Generate depth maps from images
Segment body parts in images
Enhance and restore images using SwinIR
Generate depth map from an image
Recognize micro-expressions in images
Enhance faces in old or AI-generated photos
Flux.1 Fill
Apply ZCA Whitening to images
Upload an image, detect objects, hear descriptions
Recognize text and formulas in images
Search and detect objects in images using text queries
Image Face Upscale Restoration-GFPGAN is an advanced AI-powered tool designed to enhance and upscale images, particularly focusing on facial features. It leverages the power of GFPGAN (General Face Prior-Driven Generative Adversarial Network) to restore details and improve image quality effectively. This tool is especially useful for low-resolution or blurry images, helping to produce sharp, clear, and natural-looking results.
• Face-centric upscaling: Specializes in enhancing facial features while maintaining natural appearances. • AI-driven restoration: Uses advanced algorithms to restore details lost in low-quality images. • Support for various image formats: Compatible with common formats like PNG, JPG, and BMP. • Batch processing: Ability to process multiple images at once for efficient workflow. • User-friendly interface: Intuitive design for easy navigation and operation.
What file formats are supported?
The tool supports PNG, JPG, BMP, and other common image formats.
Can I process multiple images at once?
Yes, batch processing is supported, allowing you to enhance several images simultaneously.
How does the GFPGAN technology work?
GFPGAN uses a prior-driven approach to restore facial features by referencing a database of high-quality faces, ensuring natural and realistic results.