7 citations · 30 across the 12 of their papers we have counts for
10 papers · 1 filter
Instant-NVR: Instant Neural Volumetric Rendering for Human-object Interactions from Monocular RGBD Stream
Yuheng Jiang, Kaixin Yao, Zhuo Su +3
Convenient 4D modeling of human-object interactions is essential for numerous applications. However, monocular tracking and rendering of complex interaction scenarios remain challe…
CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions
Ming Yan, Xin Wang, Yudi Dai +5
Motion capture is a long-standing research problem. Although it has been studied for decades, the majority of research focus on ground-based movements such as walking, sitting, dan…
SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments
Yudi Dai, Yitai Lin, Xiping Lin +6
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-scene interactio…
HumanGen: Generating Human Radiance Fields with Explicit Priors
Suyi Jiang, Haoran Jiang, Ziyu Wang +3
Recent years have witnessed the tremendous progress of 3D GANs for generating view-consistent radiance fields with photo-realism. Yet, high-quality generation of human radiance fie…
Relightable Neural Human Assets from Multi-view Gradient Illuminations
Taotao Zhou, Kai He, Di Wu +6
Human modeling and relighting are two fundamental problems in computer vision and graphics, where high-quality datasets can largely facilitate related research. However, most exist…
Learning Variational Motion Prior for Video-based Motion Capture
Xin Chen, Zhuo Su, Lingbo Yang +4
Motion capture from a monocular video is fundamental and crucial for us humans to naturally experience and interact with each other in Virtual Reality (VR) and Augmented Reality (A…