A Survey of Non‐Rigid 3D Registration
Non‐rigid registration computes an alignment between a source surface with a target
surface in a non‐rigid manner. In the past decade, with the advances in 3D sensing …
surface in a non‐rigid manner. In the past decade, with the advances in 3D sensing …
Fourier plenoctrees for dynamic radiance field rendering in real-time
Implicit neural representations such as Neural Radiance Field (NeRF) have focused mainly
on modeling static objects captured under multi-view settings where real-time rendering can …
on modeling static objects captured under multi-view settings where real-time rendering can …
Transpose: Real-time 3d human translation and pose estimation with six inertial sensors
Motion capture is facing some new possibilities brought by the inertial sensing technologies
which do not suffer from occlusion or wide-range recordings as vision-based solutions do …
which do not suffer from occlusion or wide-range recordings as vision-based solutions do …
Intergen: Diffusion-based multi-human motion generation under complex interactions
We have recently seen tremendous progress in diffusion advances for generating realistic
human motions. Yet, they largely disregard the multi-human interactions. In this paper, we …
human motions. Yet, they largely disregard the multi-human interactions. In this paper, we …
[HTML][HTML] Editable free-viewpoint video using a layered neural representation
Generating free-viewpoint videos is critical for immersive VR/AR experience, but recent
neural advances still lack the editing ability to manipulate the visual perception for large …
neural advances still lack the editing ability to manipulate the visual perception for large …
Sloper4d: A scene-aware dataset for global 4d human pose estimation in urban environments
We present SLOPER4D, a novel scene-aware dataset collected in large urban
environments to facilitate the research of global human pose estimation (GHPE) with human …
environments to facilitate the research of global human pose estimation (GHPE) with human …
Robustfusion: Human volumetric capture with data-driven visual cues using a rgbd camera
High-quality and complete 4D reconstruction of human activities is critical for immersive
VR/AR experience, but it suffers from inherent self-scanning constraint and consequent …
VR/AR experience, but it suffers from inherent self-scanning constraint and consequent …
Neuralhofusion: Neural volumetric rendering under human-object interactions
Abstract 4D modeling of human-object interactions is critical for numerous applications.
However, efficient volumetric capture and rendering of complex interaction scenarios …
However, efficient volumetric capture and rendering of complex interaction scenarios …
Eventcap: Monocular 3d capture of high-speed human motions using an event camera
The high frame rate is a critical requirement for capturing fast human motions. In this setting,
existing markerless image-based methods are constrained by the lighting requirement, the …
existing markerless image-based methods are constrained by the lighting requirement, the …