5 papers
Towards Continual Motion-Language Agents: LoRA Variants for Incremental Motion Understanding and Generation
Bertram Taetz, Hugo Albuquerque Cosme da Silva, Gabriele Bleser-Taetz
Motion-language agents must possess the bidirectional capability to both understand human movement (motion-to-text, M2T) and generate it from natural language (text-to-motion, T2M)…
Amortized Inverse Kinematics via Graph Attention for Real-Time Human Avatar Animation
Muhammad Saif Ullah Khan, Chen-Yu Wang, Tim Prokosch +3
Inverse kinematics (IK) is a core operation in animation, robotics, and biomechanics: given Cartesian constraints, recover joint rotations under a known kinematic tree. In many rea…
Continual Learning for Image Captioning through Improved Image-Text Alignment
Bertram Taetz, Gal Bordelius
Generating accurate and coherent image captions in a continual learning setting remains a major challenge due to catastrophic forgetting and the difficulty of aligning evolving vis…
MinJointTracker: Real-time inertial kinematic chain tracking with joint position estimation and minimal state size
Michael Lorenz, Bertram Taetz, Gabriele Bleser-Taetz +1
Inertial motion capture is a promising approach for capturing motion outside the laboratory. However, as one major drawback, most of the current methods require different quantitie…
Breaking the mould of Social Mixed Reality - State-of-the-Art and Glossary
Marta BieÅkiewicz, Julia Ayache, Panayiotis Charalambous +15
This article explores a critical gap in Mixed Reality (MR) technology: while advances have been made, MR still struggles to authentically replicate human embodiment and socio-motor…