The realism of digital avatars is crucial in enabling telepresence applications with self-
expression and customization. While physical simulations can produce realistic motions for …

Apparel's significant role in human appearance underscores the importance of garment
digitalization for digital human creation. Recent advances in 3D content creation are pivotal …

Recent research interest in learning-based processing of garments, from virtual fitting to
generation and reconstruction, stumbles on a scarcity of high-quality public data in the …

The rapid advancement of digital fashion and generative AI technology calls for an
automated approach to transform digital sewing patterns into well-fitted garments on human …

Incorporating deep learning models has marked a significant advancement in integrating
trends and technology within the fashion industry. These models are extensively applied in …

We introduce FabricDiffusion, a method for transferring fabric textures from a single clothing
image to 3D garments of arbitrary shapes. Existing approaches typically synthesize textures …

We introduce Garment3DGen a new method to synthesize 3D garment assets from a base
mesh given a single input image as guidance. Our proposed approach allows users to …

The capability to generate simulation‐ready garment models from 3D shapes of clothed
people will significantly enhance the interpretability of captured geometry of real garments …

We introduce ChatGarment, a novel approach that leverages large vision-language models
(VLMs) to automate the estimation, generation, and editing of 3D garments from images or …

Apparel is essential to human life, offering protection, mirroring cultural identities, and
showcasing personal style. Yet, the creation of garments remains a time-consuming …