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20222024
most citedNeurAR: Neural Uncertainty for Autonomous 3D Reconstruction with Implicit Neural Representations

80 citations · 110 across the 13 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022

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…

cs.RO2022★ 1 cited

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…

cs.CV2022★ 24 cited

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…

cs.CV2022

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…

cs.CV2022★ 80 cited

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…