5 citations · 5 across the 3 of their papers we have counts for
30 papers
DCGrasp: Distance-aware Controllable Grasp Generation
Hiroyasu Akada, Jesús Pérez, Emre Aksan +6
Generating 3D hand-object interactions is essential for applications in robotics, XR, and synthetic data generation, where flexible controllability and strong generalization to div…
Quantum Visual Fields with Neural Amplitude Encoding
Shuteng Wang, Christian Theobalt, Vladislav Golyanik
Quantum Implicit Neural Representations (QINRs) have emerged as a promising paradigm that leverages parametrised quantum circuits to encode and process classical information. Howev…
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis
Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik +1
Conventional methods for human motion synthesis are either deterministic or struggle with the trade-off between motion diversity and motion quality. In response to these limitation…
D-Rex : Diffusion Rendering for Relightable Expressive Avatars
Timo Teufel, Xilong Zhou, Umar Iqbal +4
We present D-Rex, a person-specific framework for photorealistic, relightable, expressive, and animatable full-body human avatars with free-viewpoint rendering. Existing methods fo…
E-3DPSM: A State Machine for Event-Based Egocentric 3D Human Pose Estimation
Mayur Deshmukh, Hiroyasu Akada, Helge Rhodin +2
Event cameras offer multiple advantages in monocular egocentric 3D human pose estimation from head-mounted devices, such as millisecond temporal resolution, high dynamic range, and…
Relightable Holoported Characters: Capturing and Relighting Dynamic Human Performance from Sparse Views
Kunwar Maheep Singh, Jianchun Chen, Vladislav Golyanik +5
We present Relightable Holoported Characters (RHC), a novel person-specific method for free-view rendering and relighting of full-body and highly dynamic humans solely observed fro…