14 papers · 1 filter
Exo2EgoHOI: Hand-Object-Interaction Aware Exocentric-to-Egocentric Video Generation
Hongjia Zhai, Xiyu Zhang, Haoran Zhang +5
Egocentric videos of human manipulation provide valuable visual experience for embodied intelligence, yet collecting such data at scale is costly. Exocentric-to-egocentric video ge…
Beyond Isolated Objects: Relationship-aware Open Vocabulary Scene Understanding via 3D Scene Graph Analysis
Xianhao Chen, Jiarui Hu, Yuanbo Yang +5
Open-vocabulary 3D scene understanding aims to segment 3D scenes beyond predefined categories by transferring semantic knowledge from vision-language models. Existing methods have…
WildSplat: Feedforward Gaussian Splatting from Unposed In-the-Wild Images
Xiyu Zhang, Jingyu Zhuang, Hongjia Zhai +4
While feedforward 3D reconstruction excels at efficient novel view synthesis, it typically falters when faced with scenes under varying illumination. To this end, we introduce Wild…
OnlinePG: Online Open-Vocabulary Panoptic Mapping with 3D Gaussian Splatting
Hongjia Zhai, Qi Zhang, Xiaokun Pan +5
Open-vocabulary scene understanding with online panoptic mapping is essential for embodied applications to perceive and interact with environments. However, existing methods are pr…
AtlasGS: Atlanta-world Guided Surface Reconstruction with Implicit Structured Gaussians
Xiyu Zhang, Chong Bao, Yipeng Chen +5
3D reconstruction of indoor and urban environments is a prominent research topic with various downstream applications. However, existing geometric priors for addressing low-texture…
Free360: Layered Gaussian Splatting for Unbounded 360-Degree View Synthesis from Extremely Sparse and Unposed Views
Chong Bao, Xiyu Zhang, Zehao Yu +4
Neural rendering has demonstrated remarkable success in high-quality 3D neural reconstruction and novel view synthesis with dense input views and accurate poses. However, applying…
Unlocking Generalization Power in LiDAR Point Cloud Registration
Zhenxuan Zeng, Qiao Wu, Xiyu Zhang +5
In real-world environments, a LiDAR point cloud registration method with robust generalization capabilities (across varying distances and datasets) is crucial for ensuring safety i…
LookCloser: Frequency-aware Radiance Field for Tiny-Detail Scene
Xiaoyu Zhang, Weihong Pan, Chong Bao +4
Humans perceive and comprehend their surroundings through information spanning multiple frequencies. In immersive scenes, people naturally scan their environment to grasp its overa…
HyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration
Xiyu Zhang, Jiayi Ma, Jianwei Guo +5
Geometric constraints between feature matches are critical in 3D point cloud registration problems. Existing approaches typically model unordered matches as a consistency graph and…
3D Registration in 30 Years: A Survey
Jiaqi Yang, Chu'ai Zhang, Zhengbao Wang +10
3D point cloud registration is a fundamental problem in computer vision, computer graphics, robotics, remote sensing, and etc. Over the last thirty years, we have witnessed the ama…
SplatLoc: 3D Gaussian Splatting-based Visual Localization for Augmented Reality
Hongjia Zhai, Xiyu Zhang, Boming Zhao +5
Visual localization plays an important role in the applications of Augmented Reality (AR), which enable AR devices to obtain their 6-DoF pose in the pre-build map in order to rende…
GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image
Chong Bao, Yinda Zhang, Yuan Li +6
Recently, we have witnessed the explosive growth of various volumetric representations in modeling animatable head avatars. However, due to the diversity of frameworks, there is no…
Instance by Instance: An Iterative Framework for Multi-instance 3D Registration
Xinyue Cao, Xiyu Zhang, Yuxin Cheng +3
Multi-instance registration is a challenging problem in computer vision and robotics, where multiple instances of an object need to be registered in a standard coordinate system. I…
3D Registration with Maximal Cliques
Xiyu Zhang, Jiaqi Yang, Shikun Zhang +1
As a fundamental problem in computer vision, 3D point cloud registration (PCR) aims to seek the optimal pose to align a point cloud pair. In this paper, we present a 3D registratio…