76 citations · 207 across the 72 of their papers we have counts for
11 papers · 1 filter
HDHumans: A Hybrid Approach for High-fidelity Digital Humans
Marc Habermann, Lingjie Liu, Weipeng Xu +3
Photo-real digital human avatars are of enormous importance in graphics, as they enable immersive communication over the globe, improve gaming and entertainment experiences, and ca…
Skeleton-free Pose Transfer for Stylized 3D Characters
Zhouyingcheng Liao, Jimei Yang, Jun Saito +2
We present the first method that automatically transfers poses between stylized 3D characters without skeletal rigging. In contrast to previous attempts to learn pose transformatio…
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
Garvita Tiwari, Dimitrije Antic, Jan Eric Lenssen +3
We present Pose-NDF, a continuous model for plausible human poses based on neural distance fields (NDFs). Pose or motion priors are important for generating realistic new poses and…
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes
Julian Chibane, Francis Engelmann, Tuan Anh Tran +1
Current 3D segmentation methods heavily rely on large-scale point-cloud datasets, which are notoriously laborious to annotate. Few attempts have been made to circumvent the need fo…
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement
Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen +1
We present TOCH, a method for refining incorrect 3D hand-object interaction sequences using a data prior. Existing hand trackers, especially those that rely on very few cameras, of…
Learned Vertex Descent: A New Direction for 3D Human Model Fitting
Enric Corona, Gerard Pons-Moll, Guillem Alenyà +1
We propose a novel optimization-based paradigm for 3D human model fitting on images and scans. In contrast to existing approaches that directly regress the parameters of a low-dime…