3 citations · 3 across the 4 of their papers we have counts for
4 papers
Betsu-Betsu: Multi-View Separable 3D Reconstruction of Two Interacting Objects
Suhas Gopal, Rishabh Dabral, Vladislav Golyanik +1
Separable 3D reconstruction of multiple objects from multi-view RGB images -- resulting in two different 3D shapes for the two objects with a clear separation between them -- remai…
EventEgo3D++: 3D Human Motion Capture from a Head-Mounted Event Camera
Christen Millerdurai, Hiroyasu Akada, Jian Wang +5
Monocular egocentric 3D human motion capture remains a significant challenge, particularly under conditions of low lighting and fast movements, which are common in head-mounted dev…
Manifold Sampling for Differentiable Uncertainty in Radiance Fields
Linjie Lyu, Ayush Tewari, Marc Habermann +4
Radiance fields are powerful and, hence, popular models for representing the appearance of complex scenes. Yet, constructing them based on image observations gives rise to ambiguit…
A Latent Implicit 3D Shape Model for Multiple Levels of Detail
Benoit Guillard, Marc Habermann, Christian Theobalt +1
Implicit neural representations map a shape-specific latent code and a 3D coordinate to its corresponding signed distance (SDF) value. However, this approach only offers a single l…