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 …

We present a novel pipeline for learning high-quality triangular human avatars from multi-
view videos. Recent methods for avatar learning are typically based on neural radiance …

We present IntrinsicAvatar a novel approach to recovering the intrinsic properties of clothed
human avatars including geometry albedo material and environment lighting from only …

An overarching goal for computer-aided perception systems is the holistic understanding of
the human-centric 3D world, including faithful reconstructions of humans, scenes, and their …

Efficient and accurate reconstruction of a relightable, dynamic clothed human avatar from a
monocular video is crucial for the entertainment industry. This paper introduces the Surfel …

We present InstantGeoAvatar, a method for efficient and effective learning from monocular
video of detailed 3D geometry and appearance of animatable implicit human avatars. Our …

Creating relightable and animatable avatars from multi-view or monocular videos is a
challenging task for digital human creation and virtual reality applications. Previous methods …

We present PRTGaussian, a realtime relightable novel-view synthesis method made
possible by combining 3D Gaussians and Precomputed Radiance Transfer (PRT). By fitting …

Decoupling from customized parametric templates marks an integral leap towards creating
fully flexible, animatable avatars. In this work, we introduce TAGA (Template-free Animatable …

We present a novel pipeline for learning high-quality triangular human avatars from multi-
view videos. Recent methods for avatar learning are typically based on neural radiance …