53 citations · 67 across the 2 of their papers we have counts for
4 papers
RigNet: Neural Rigging for Articulated Characters
Zhan Xu, Yang Zhou, Evangelos Kalogerakis +2
We present RigNet, an end-to-end automated method for producing animation rigs from input character models. Given an input 3D model representing an articulated character, RigNet pr…
Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets
Zhan Xu, Yang Zhou, Evangelos Kalogerakis +1
We present a learning method for predicting animation skeletons for input 3D models of articulated characters. In contrast to previous approaches that fit pre-defined skeleton temp…
SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation
Yang Zhou, Zachary While, Evangelos Kalogerakis
In this paper we propose a neural message passing approach to augment an input 3D indoor scene with new objects matching their surroundings. Given an input, potentially incomplete,…
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
Li Yi, Lin Shao, Manolis Savva +47
We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database. The benchmark consists of two tasks: part-level segmentation…