Hand gesture is one of the most efficient and natural interfaces in current human–computer
interaction (HCI) systems. Despite the great progress achieved in hand gesture-based HCI …

Sign Languages (SL) serve as the primary mode of communication for the Deaf and Hard of
Hearing communities. Deep learning methods for SL recognition and translation have …

Existing photorealistic relightable hand models require extensive identity-specific
observations in different views poses and illuminations and face challenges in generalizing …

The authentic 3D hand avatar with every identifiable information such as hand shapes and
textures is necessary for immersive experiences in AR/VR. In this paper we present a …

Abstract 3D hand pose estimation in everyday egocentric images is challenging for several
reasons: poor visual signal (occlusion from the object of interaction, low resolution & motion …

In the realm of 3D computer vision, parametric models have emerged as a ground-breaking
methodology for the creation of realistic and expressive 3D avatars. Traditionally, they rely …

In recent years, 3D hand pose estimation methods have garnered significant attention due to
their extensive applications in human-computer interaction, virtual reality, and robotics. In …

In recent years there has been a significant shift in the field of digital avatar research towards
modeling animating and reconstructing clothed human representations as a key step …

Hand tracking is relevant to such a variety of applications including human-robot interaction
(HRI), human-computer interaction (HCI), virtual reality (VR), and augmented reality (AR) …

Abstract We present the Locally Adaptive Morphable Model (LAMM) a highly flexible Auto-
Encoder (AE) framework for learning to generate and manipulate 3D meshes. We train our …