Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers. (arXiv:2205.06305v1 [cs.CV])

Augmented reality applications have rapidly spread across online platforms,
allowing consumers to virtually try-on a variety of products, such as makeup,
hair dying, or shoes. However, parametrizing a renderer to synthesize realistic
images of a given product remains a challenging task that requires expert
knowledge. While recent work has introduced neural rendering methods for
virtual try-on from example images, current approaches are based on large
generative models that cannot be used in real-time on mobile devices. This
calls for a …

arxiv cv example graphics image real-time time virtual