<ul><li>Active Appearance Models (AAMs) are widely used for fitting deformable models to images.</li><li>Researchers explore the use of Generative Adversarial Networks (GANs) to improve the AAM fitting process.</li><li>They employ a GAN-augmented framework with a U-Net based generator and a PatchGAN discriminator.</li><li>Limited experiments show that the GAN-enhanced AAM achieves higher accuracy and faster convergence in challenging conditions.</li></ul>

Leveraging GANs For Active Appearance Models Optimized Model Fitting

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