The combination of deep learning, artist-curated scans, and Implicit Functions (IF), is
enabling the creation of detailed, clothed, 3D humans from images. However, existing …

Modeling and rendering photorealistic avatars is of crucial importance in many applications.
Existing methods that build a 3D avatar from visual observations, however, struggle to …

Fashion-image editing is a challenging computer-vision task where the goal is to incorporate
selected apparel into a given input image. Most existing techniques, known as Virtual Try-On …

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

Many approaches to draping individual garments on human body models are realistic, fast,
and yield outputs that are differentiable with respect to the body shape on which they are …

While previous years have seen great progress in the 3D reconstruction of humans from
monocular videos, few of the state-of-the-art methods are able to handle loose garments that …

Understanding the world in first-person view is fundamental in Augmented Reality (AR). This
immersive perspective brings dramatic visual changes and unique challenges compared to …

Learning-based approaches to cloth simulation have started to show their potential in recent
years. However, handling collisions and intersections in neural simulations remains a …

Mimicking realistic dynamics in 3D garment animations is a challenging task due to the
complex nature of multi-layered garments and the variety of outer forces involved. Existing …

Abstract 3D reconstruction of dynamic scenes is a long-standing problem in computer
graphics and increasingly difficult the less information is available. Shape-from-Template …