Technical details and results of intelligent restoration
Flux Kontext's restoration algorithm integrates three key technology modules: broken region detection using a semantic segmentation network with U-Net architecture; color restoration applying conditional GAN to generate realistic color distributions; and detail enhancement using super-resolution reconstruction techniques. Practical tests show that by inputting the command 'Repair scratches and colorize' to a 1940s black-and-white ID photo, the system can complete the following processing within 8 seconds: 1) remove physical damage of more than 93%; 2) automatically fill in the missing ear contours; 3) match historically accurate color schemes for the clothing, background, and other elements, with overall results superior to those of professional retouchers. The overall result is better than 3 hours of manual processing by a professional retoucher.
This answer comes from the articleFlux Kontext: AI tool for editing images with text commandsThe
