2.5k citations · 2.6k across the 11 of their papers we have counts for
11 papers · 1 filter
SVG-Head: Hybrid Surface-Volumetric Gaussians for High-Fidelity Head Reconstruction and Real-Time Editing
Heyi Sun, Cong Wang, Tian-Xing Xu +4
Creating high-fidelity and editable head avatars is a pivotal challenge in computer vision and graphics, boosting many AR/VR applications. While recent advancements have achieved p…
3D Gaussian Editing with A Single Image
Guan Luo, Tian-Xing Xu, Ying-Tian Liu +3
The modeling and manipulation of 3D scenes captured from the real world are pivotal in various applications, attracting growing research interest. While previous works on editing h…
Texture-GS: Disentangling the Geometry and Texture for 3D Gaussian Splatting Editing
Tian-Xing Xu, Wenbo Hu, Yu-Kun Lai +2
3D Gaussian splatting, emerging as a groundbreaking approach, has drawn increasing attention for its capabilities of high-fidelity reconstruction and real-time rendering. However,…
MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors
Tian-Xing Xu, Yuan-Chen Guo, Yu-Kun Lai +1
3D single object tracking has been a crucial problem for decades with numerous applications such as autonomous driving. Despite its wide-ranging use, this task remains challenging…
CXTrack: Improving 3D Point Cloud Tracking with Contextual Information
Tian-Xing Xu, Yuan-Chen Guo, Yu-Kun Lai +1
3D single object tracking plays an essential role in many applications, such as autonomous driving. It remains a challenging problem due to the large appearance variation and the s…
Deforming Radiance Fields with Cages
Tianhan Xu, Tatsuya Harada
Recent advances in radiance fields enable photorealistic rendering of static or dynamic 3D scenes, but still do not support explicit deformation that is used for scene manipulation…
Gradient-based Point Cloud Denoising with Uniformity
Tian-Xing Xu, Yuan-Chen Guo, Yong-Liang Yang +1
Point clouds captured by depth sensors are often contaminated by noises, obstructing further analysis and applications. In this paper, we emphasize the importance of point distribu…
Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis
Tianhan Xu, Yasuhiro Fujita, Eiichi Matsumoto
We propose a new method for reconstructing controllable implicit 3D human models from sparse multi-view RGB videos. Our method defines the neural scene representation on the mesh s…
Attention Mechanisms in Computer Vision: A Survey
Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu +7
Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim o…
TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields
Tian-Xing Xu, Yuan-Chen Guo, Zhiqiang Li +3
Place recognition plays an essential role in the field of autonomous driving and robot navigation. Point cloud based methods mainly focus on extracting global descriptors from loca…
Graph Stacked Hourglass Networks for 3D Human Pose Estimation
Tianhan Xu, Wataru Takano
In this paper, we propose a novel graph convolutional network architecture, Graph Stacked Hourglass Networks, for 2D-to-3D human pose estimation tasks. The proposed architecture co…