8 citations · 18 across the 10 of their papers we have counts for
10 papers
sqrtVINS: Robust and Ultrafast Square-Root Filter-based 3D Motion Tracking
Yuxiang Peng, Chuchu Chen, Kejian Wu +1
In this paper, we develop and open-source, for the first time, a square-root filter (SRF)-based visual-inertial navigation system (VINS), termed sqrtVINS, which is ultra-fast, nume…
Meta-Learning Empowered Meta-Face: Personalized Speaking Style Adaptation for Audio-Driven 3D Talking Face Animation
Xukun Zhou, Fengxin Li, Ziqiao Peng +5
Audio-driven 3D face animation is increasingly vital in live streaming and augmented reality applications. While remarkable progress has been observed, most existing approaches are…
RPBG: Towards Robust Neural Point-based Graphics in the Wild
Qingtian Zhu, Zizhuang Wei, Zhongtian Zheng +5
Point-based representations have recently gained popularity in novel view synthesis, for their unique advantages, e.g., intuitive geometric representation, simple manipulation, and…
CHORD: Category-level Hand-held Object Reconstruction via Shape Deformation
Kailin Li, Lixin Yang, Haoyu Zhen +6
In daily life, humans utilize hands to manipulate objects. Modeling the shape of objects that are manipulated by the hand is essential for AI to comprehend daily tasks and to learn…
POEM: Reconstructing Hand in a Point Embedded Multi-view Stereo
Lixin Yang, Jian Xu, Licheng Zhong +4
Enable neural networks to capture 3D geometrical-aware features is essential in multi-view based vision tasks. Previous methods usually encode the 3D information of multi-view ster…
FuRPE: Learning Full-body Reconstruction from Part Experts
Zhaoxin Fan, Yuqing Pan, Hao Xu +5
In the field of full-body reconstruction, the scarcity of annotated data often impedes the efficacy of prevailing methods. To address this issue, we introduce FuRPE, a novel framew…
MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object Detection
Han Sun, Zhaoxin Fan, Zhenbo Song +3
Monocular 3D object detection is a fundamental but very important task to many applications including autonomous driving, robotic grasping and augmented reality. Existing leading m…
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion
Zhaoxin Fan, Yulin He, Zhicheng Wang +3
Real-world sensors often produce incomplete, irregular, and noisy point clouds, making point cloud completion increasingly important. However, most existing completion methods rely…
Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image
Zhaoxin Fan, Zhenbo Song, Jian Xu +4
Recently, RGBD-based category-level 6D object pose estimation has achieved promising improvement in performance, however, the requirement of depth information prohibits broader app…
ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation
Zhaoxin Fan, Zhengbo Song, Jian Xu +4
Recently, category-level 6D object pose estimation has achieved significant improvements with the development of reconstructing canonical 3D representations. However, the reconstru…