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Transparent objects are common in our daily life and frequently handled in the automated production line.
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Gao Huang, Zhuang Liu, Laurens Van and Kilian Weinberger · 2017
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“Grasp pose detection in point clouds”
Andreas ten Pas, Marcus Gualtieri, Kate Saenko and Robert Platt · 2017
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“Pointnet: Deep learning on point sets for 3d classification and segmentation”
Charles Qi, Hao Su, Kaichun Mo and Leonidas Guibas · 2017
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Charles Qi, Li Yi, Hao Su and Leonidas Guibas · 2017
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“Estimating depth from rgb and sparse sensing”
Zhao Chen, Vijay Badrinarayanan, Gilad Drozdov and Andrew Rabinovich · 2018
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“Depth estimation via affinity learned with convolutional spatial propagation network”
Xinjing Cheng, Peng Wang and Ruigang Yang · 2018
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“Sparse-to-dense: Depth prediction from sparse depth samples and a single image”
Fangchang Ma and Sertac Karaman · 2018
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Panqu Wang et al · 2018
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“Deep depth completion of a single rgb-d image”
Yinda Zhang and Thomas Funkhouser · 2018
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Hongzhuo Liang et al · 2019
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“6-dof graspnet: Variational grasp generation for object manipulation”
Arsalan Mousavian, Clemens Eppner and Dieter Fox · 2019
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“Clear grasp: 3d shape estimation of transparent objects for manipulation”
Shreeyak Sajjan et al · 2020
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“Decoder modulation for indoor depth completion”
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“Rgb matters: Learning 7-dof grasp poses on monocular rgbd images”
Minghao Gou et al · 2021
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“Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects”
Jeffrey Ichnowski, Yahav Avigal, Justin Kerr and Ken Goldberg · 2021
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“Depth Completion using Plane-Residual Representation”
Byeong-Uk Lee, Kyunghyun Lee and In Kweon · 2021
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“Stereobj-1m: Large-scale stereo image dataset for 6d object pose estimation”
Xingyu Liu, Shun Iwase and Kris Kitani · 2021
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“Deep shape from polarization”
Yunhao Ba et al · 2020
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“Graspnet-1billion: A large-scale benchmark for general object grasping”
Hao-Shu Fang, Chenxi Wang, Minghao Gou and Cewu Lu · 2020
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“Depth Completion via Inductive Fusion of Planar LIDAR and Monocular Camera”
Chen Fu, Chiyu Dong, Christoph Mertz and John Dolan · 2020
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“Self-supervised monocular depth estimation: Solving the dynamic object problem by semantic guidance”
Marvin Klingner, Jan-Aike Termöhlen, Jonas Mikolajczyk and Tim Fingscheidt · 2020
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“Through the looking glass: neural 3D reconstruction of transparent shapes”
Zhengqin Li, Yu-Ying Yeh and Manmohan Chandraker · 2020
Cited alongside, same era.
“Keypose: Multi-view 3d labeling and keypoint estimation for transparent objects”
Xingyu Liu, Rico Jonschkowski, Anelia Angelova and Kurt Konolige · 2020
Cited alongside, same era.
“SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications”
Mehdi Mousavi and Rolando Estrada · 2021
Later among the works it cites.
“Contact-graspnet: Efficient 6-dof grasp generation in cluttered scenes”
Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel and Dieter Fox · 2021
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“DepthGrasp: Depth Completion of Transparent Objects Using Self-Attentive Adversarial Network with Spectral Residual for Grasping”
Yingjie Tang et al · 2021
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“Graspness Discovery in Clutters for Fast and Accurate Grasp Detection”
Chenxi Wang et al · 2021
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“Segmenting Transparent Objects in the Wild with Transformer”
Enze Xie et al · 2021
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“RGB-D Local Implicit Function for Depth Completion of Transparent Objects”
Luyang Zhu et al · 2021
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“Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent Objects”
Haoping Xu et al · 2022
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