Monet Vision's patented restoration algorithm, built on Generative Adversarial Networks (GAN), intelligently analyzes 34 key feature points on the face. When eye closure is detected, the system combines the iris database and surrounding light conditions to generate a biomechanically correct eye structure. Practical tests show that the success rate of this technology for group photo restoration reaches 92%, which is significantly better than traditional Photoshop manual restoration. Typical application scenarios include: wedding group photo restoration (to deal with blink frequency differences), ID photo optimization (to ensure compliance) and historical photo renovation. The platform features a pupil diameter adjustment slider that allows users to fine-tune the harmonization of the generated results.
This answer comes from the articleMonet Vision: an AI authoring platform that generates professional images and videos with a single clickThe
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