activity
20192026
most citedRigNet: Neural Rigging for Articulated Characters

14 citations · 31 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Breaking the Horizontal Prior: From Long-Tailed Orientation Bias to Roll-Robust Monocular Depth Estimation

Kaihua Tang, Ziqing Xia, Xiaoxu Zheng +4

Despite recent advances in Monocular Depth Estimation, state-of-the-art depth foundation models remain vulnerable to robustness issues. Particularly, even slight camera rolls can r…

cs.CV2026

AnchorSplat: Feed-Forward 3D Gaussian Splatting with 3D Geometric Priors

Xiaoxue Zhang, Xiaoxu Zheng, Yixuan Yin +5

Recent feed-forward Gaussian reconstruction models adopt a pixel-aligned formulation that maps each 2D pixel to a 3D Gaussian, entangling Gaussian representations tightly with the…

cs.GR2022★ 14 cited

Morig: Motion-aware rigging of character meshes from point clouds

Zhan Xu, Yang Zhou, Li Yi +1

We present MoRig, a method that automatically rigs character meshes driven by single-view point cloud streams capturing the motion of performing characters. Our method is also able…

cs.CV2022

APES: Articulated Part Extraction from Sprite Sheets

Zhan Xu, Matthew Fisher, Yang Zhou +4

Rigged puppets are one of the most prevalent representations to create 2D character animations. Creating these puppets requires partitioning characters into independently moving pa…

cs.GR2020★ 14 cited

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…

cs.CV2019★ 3 cited

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…