80 citations · 110 across the 13 of their papers we have counts for
13 papers
Multi-robot autonomous 3D reconstruction using Gaussian splatting with Semantic guidance
Jing Zeng, Qi Ye, Tianle Liu +5
Implicit neural representations and 3D Gaussian splatting (3DGS) have shown great potential for scene reconstruction. Recent studies have expanded their applications in autonomous…
AdaptiveFusion: Adaptive Multi-Modal Multi-View Fusion for 3D Human Body Reconstruction
Anjun Chen, Xiangyu Wang, Zhi Xu +5
Recent advancements in sensor technology and deep learning have led to significant progress in 3D human body reconstruction. However, most existing approaches rely on data from a s…
CT-NeRF: Incremental Optimizing Neural Radiance Field and Poses with Complex Trajectory
Yunlong Ran, Yanxu Li, Qi Ye +4
Neural radiance field (NeRF) has achieved impressive results in high-quality 3D scene reconstruction. However, NeRF heavily relies on precise camera poses. While recent works like…
Autonomous Implicit Indoor Scene Reconstruction with Frontier Exploration
Jing Zeng, Yanxu Li, Jiahao Sun +3
Implicit neural representations have demonstrated significant promise for 3D scene reconstruction. Recent works have extended their applications to autonomous implicit reconstructi…
Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields
Xiangyu Wang, Jingsen Zhu, Qi Ye +4
With the popularity of implicit neural representations, or neural radiance fields (NeRF), there is a pressing need for editing methods to interact with the implicit 3D models for t…
InterTracker: Discovering and Tracking General Objects Interacting with Hands in the Wild
Yanyan Shao, Qi Ye, Wenhan Luo +2
Understanding human interaction with objects is an important research topic for embodied Artificial Intelligence and identifying the objects that humans are interacting with is a p…
I-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs
Jingsen Zhu, Yuchi Huo, Qi Ye +8
In this work, we present I-SDF, a new method for intrinsic indoor scene reconstruction and editing using differentiable Monte Carlo raytracing on neural signed distance fields…
DexRepNet: Learning Dexterous Robotic Grasping Network with Geometric and Spatial Hand-Object Representations
Qingtao Liu, Yu Cui, Qi Ye +5
Robotic dexterous grasping is a challenging problem due to the high degree of freedom (DoF) and complex contacts of multi-fingered robotic hands. Existing deep reinforcement learni…
Pixel-Aligned Non-parametric Hand Mesh Reconstruction
Shijian Jiang, Guwen Han, Danhang Tang +4
Non-parametric mesh reconstruction has recently shown significant progress in 3D hand and body applications. In these methods, mesh vertices and edges are visible to neural network…
Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint
Haoming Li, Xinzhuo Lin, Yang Zhou +4
3D grasp synthesis generates grasping poses given an input object. Existing works tackle the problem by learning a direct mapping from objects to the distributions of grasping pose…
ImmFusion: Robust mmWave-RGB Fusion for 3D Human Body Reconstruction in All Weather Conditions
Anjun Chen, Xiangyu Wang, Kun Shi +6
3D human reconstruction from RGB images achieves decent results in good weather conditions but degrades dramatically in rough weather. Complementary, mmWave radars have been employ…
mmBody Benchmark: 3D Body Reconstruction Dataset and Analysis for Millimeter Wave Radar
Anjun Chen, Xiangyu Wang, Shaohao Zhu +3
Millimeter Wave (mmWave) Radar is gaining popularity as it can work in adverse environments like smoke, rain, snow, poor lighting, etc. Prior work has explored the possibility of r…
NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction with Implicit Neural Representations
Yunlong Ran, Jing Zeng, Shibo He +5
Implicit neural representations have shown compelling results in offline 3D reconstruction and also recently demonstrated the potential for online SLAM systems. However, applying t…