4 papers · 1 filter
GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity
Takuya Ikeda, Sergey Zakharov, Muhammad Zubair Irshad +8
We present a novel method for 6-DoF object tracking and high-quality 3D reconstruction from monocular RGBD video. Existing methods, while achieving impressive results, often strugg…
ViFu: Multiple 360 Objects Reconstruction with Clean Background via Visible Part Fusion
Tianhan Xu, Takuya Ikeda, Koichi Nishiwaki
In this paper, we propose a method to segment and recover a static, clean background and multiple 360 objects from observations of scenes at different timestamps. Recent wo…
DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation
Takuya Ikeda, Sergey Zakharov, Tianyi Ko +5
This paper addresses the challenging problem of category-level pose estimation. Current state-of-the-art methods for this task face challenges when dealing with symmetric objects a…
GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence
Pengyuan Wang, Takuya Ikeda, Robert Lee +1
Category-level pose estimation is a challenging task with many potential applications in computer vision and robotics. Recently, deep-learning-based approaches have made great prog…