Repair image defects by masking and inpainting
Restore blurred or small images with prompt
Generate clean images from damaged ones
Enhance faces in images
Restore and enhance old photos
Restore images to improve quality
Transform images to look younger or older
Transform images to vintage film styles
Enhance images by removing noise or blur
Repair images by removing unwanted elements
Restore blurred or small images with prompt
消除馬賽克
Repair images by inpainting missing parts
Inpainting is a sophisticated photo restoration technique that utilizes AI to repair damaged or degraded images. It works by intelligently masking and inpainting defective areas of an image, such as scratches, tears, or faded spots, to restore them to their original state. This technology is particularly useful for reviving old or deteriorated photos while preserving their original appearance and emotional value.
• Scratch and stain removal: Effectively eliminates unwanted marks and blemishes from images.
• Fold and tear repair: Smoothly fixes creases and torn edges for a seamless look.
• Color restoration: Revives faded or discolored areas to bring back the image's vibrancy.
• Edge detection: Automatically identifies and corrects damaged edges and borders.
• Texture matching: Ensures repaired areas blend naturally with the rest of the image.
What file formats does Inpainting support?
Inpainting supports common image formats such as JPG, PNG, and BMP.
How does the AI know what to repair?
The AI is trained on vast datasets of damaged and restored images, enabling it to detect and repair defects like scratches and stains automatically.
Will the original image remain unchanged?
Yes, the original image is preserved. Inpainting creates a new restored version while keeping the original file intact.