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Lightweight Real-time Makeup Try-on in Mobile Browsers with Tiny CNN Models for Facial Tracking
Recent works on convolutional neural networks (CNNs) for facial alignment have demonstrated unprecedented accuracy on a variety of large, publicly available datasets.
Detail-aware Deep Clothing Animations Infused with Multi-source Attributes
This paper presents a novel learning-based clothing deformation method to generate rich and reasonable detailed deformations for garments worn by bodies of various shapes in various animations.
SwinGar: Spectrum-Inspired Neural Dynamic Deformation for Free-Swinging Garments
Our work presents a novel spectrum-inspired learning-based approach for generating clothing deformations with dynamic effects and personalized details.
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