Despite recent research advancements in reconstructing clothed humans from a single
image, accurately restoring the “unseen regions” with high-level details remains an …

We present Paint-it a text-driven high-fidelity texture map synthesis method for 3D meshes
via neural re-parameterized texture optimization. Paint-it synthesizes texture maps from a …

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

Our goal is to create a realistic 3D facial avatar with hair and accessories using only a text
description. While this challenge has attracted significant recent interest, existing methods …

Digital humans and, especially, 3D facial avatars have raised a lot of attention in the past
years, as they are the backbone of several applications like immersive telepresence in AR or …

3D human pose estimation and mesh recovery have attracted widespread research interest
in many areas, such as computer vision, autonomous driving, and robotics. Deep learning …

Faithful human performance capture and free-view rendering from sparse RGB observations
is a long-standing problem in Vision and Graphics. The main challenges are the lack of …

Recognizing postures in multi-person dance scenarios presents challenges due to mutual
body part obstruction and varying distortions across different dance actions. These …

We present a novel deep learning-based approach to the 3D reconstruction of clothed
humans using weak supervision via 2D normal maps. Given a single RGB image or …

The creation of photorealistic virtual worlds requires the accurate modeling of 3D surface
geometry for a wide range of objects. For this, meshes are appealing since they 1) enable …