Fit-NGP: Fitting Object Models to Neural Graphics Primitives

A new technique for fully autonomous and efficient 3d robotics hand/eye calibration

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Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes

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Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, and Dieter Fox · 2018

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Pytorch: An imperative style, high-performance deep learning library

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Dex-NeRF: Using a neural radiance field to grasp transparent objects

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Yann Labbé, Justin Carpentier, Mathieu Aubry, and Josef Sivic · 2020

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Nerf: Representing scenes as neural radiance fields for view synthesis

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Tangent space backpropagation for 3d transformation groups

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Evo-nerf: Evolving nerf for sequential robot grasping of transparent objects

Justin Kerr, Letian Fu, Huang Huang, Yahav Avigal, Matthew Tancik, Jeffrey Ichnowski, Angjoo Kanazawa, and Ken Goldberg · 2022

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Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, and Josef Sivic · 2022

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Instant neural graphics primitives with a multiresolution hash encoding

Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022

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Detecting twenty-thousand classes using image-level supervision