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Humans rely on their visual and tactile senses to develop a comprehensive 3D understanding of their physical environment.
Marching cubes: A high resolution 3d surface construction algorithm
William E Lorensen and Harvey E Cline · 1987
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Surface patch reconstruction from “one-dimensional” tactile data
Yan-Bin Jia and Jiang Tian · 2009
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A probabilistic approach to tactile shape reconstruction
Martin Meier, Matthias Schopfer, Robert Haschke, and Helge Ritter · 2011
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Three-dimensional object reconstruction of symmetric objects by fusing visual and tactile sensing
Jarmo Ilonen, Jeannette Bohg, and Ville Kyrki · 2014
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Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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3d-r2n2: A unified approach for single and multi-view 3d object reconstruction
Christopher B Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, and Silvio Savarese · 2016
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Active tactile object exploration with gaussian processes
Zhengkun Yi, Roberto Calandra, Filipe Veiga, Herke van Hoof, Tucker Hermans, Yilei Zhang, and Jan Peters · 2016
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A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J Guibas · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Multi-view supervision for single-view reconstruction via differentiable ray consistency
Shubham Tulsiani, Tinghui Zhou, Alexei A Efros, and Jitendra Malik · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Gelsight: High-resolution robot tactile sensors for estimating geometry and force
Wenzhen Yuan, Siyuan Dong, and Edward H Adelson · 2017
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On the spectral bias of deep neural networks
Nasim Rahaman, Devansh Arpit, Aristide Baratin, Felix Draxler, Min Lin, Fred A Hamprecht, Yoshua Bengio, and Aaron Courville · 2018
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Pix3d: Dataset and methods for single-image 3d shape modeling
Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B Tenenbaum, and William T Freeman · 2018
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Pixel2mesh: Generating 3d mesh models from single rgb images
Nanyang Wang, Yinda Zhang, Zhuwen Li, Yanwei Fu, Wei Liu, and Yu-Gang Jiang · 2018
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3d shape perception from monocular vision, touch, and shape priors
Shaoxiong Wang, Jiajun Wu, Xingyuan Sun, Wenzhen Yuan, William T. Freeman, Joshua B. Tenenbaum, and Edward H. Adelson · 2018
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Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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Soft biomimetic optical tactile sensing with the tactip: A review
Nathan F Lepora · 2021
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
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Sim-to-real for robotic tactile sensing via physics-based simulation and learned latent projections
Yashraj Narang, Balakumar Sundaralingam, Miles Macklin, Arsalan Mousavian, and Dieter Fox · 2021
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Active 3d shape reconstruction from vision and touch
Edward Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero Soriano, and Michal Drozdzal · 2021
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Learning models as functionals of signed-distance fields for manipulation planning
Danny Driess, Jung-Su Ha, Marc Toussaint, and Russ Tedrake · 2022
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Edward J Smith, Scott Fujimoto, Adriana Romero, and David Meger · 2019
Cited alongside, same era.
What do single-view 3d reconstruction networks learn?
Maxim Tatarchenko, Stephan R Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, and Thomas Brox · 2019
Cited alongside, same era.
Digit: A novel design for a low-cost compact high-resolution tactile sensor with application to in-hand manipulation
Mike Lambeta, Po-Wei Chou, Stephen Tian, Brian Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi, Gregg Kammerer, et al · 2020
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Carmelo Sferrazza and Raffaello D’Andrea · 2020
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3d shape reconstruction from vision and touch
Edward Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, and Michal Drozdzal · 2020
Cited alongside, same era.
Fourier features let networks learn high frequency functions in low dimensional domains
Matthew Tancik, Pratul Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan Barron, and Ren Ng · 2020
Cited alongside, same era.
Simulation of vision-based tactile sensors using physics based rendering
Arpit Agarwal, Timothy Man, and Wenzhen Yuan · 2021
Cited alongside, same era.
Carolina Higuera, Siyuan Dong, Byron Boots, and Mustafa Mukadam · 2022
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Tactile gym 2.0: Sim-to-real deep reinforcement learning for comparing low-cost high-resolution robot touch
Yijiong Lin, John Lloyd, Alex Church, and Nathan F Lepora · 2022
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Pivotal tuning for latent-based editing of real images
Daniel Roich, Ron Mokady, Amit H Bermano, and Daniel Cohen-Or · 2022
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Active visuo-haptic object shape completion
Lukas Rustler, Jens Lundell, Jan Kristof Behrens, Ville Kyrki, and Matej Hoffmann · 2022
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Neural descriptor fields: Se (3)-equivariant object representations for manipulation
Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, and Vincent Sitzmann · 2022
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Tacto: A fast, flexible, and open-source simulator for high-resolution vision-based tactile sensors
Shaoxiong Wang, Mike Lambeta, Po-Wei Chou, and Roberto Calandra · 2022
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Virdo: Visio-tactile implicit representations of deformable objects
Youngsun Wi, Pete Florence, Andy Zeng, and Nima Fazeli · 2022
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Neuse: Neural se (3)-equivariant embedding for consistent spatial understanding with objects
Jiahui Fu, Yilun Du, Kurran Singh, Joshua B Tenenbaum, and John J Leonard · 2023
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Learning to read braille: Bridging the tactile reality gap with diffusion models
Carolina Higuera, Byron Boots, and Mustafa Mukadam · 2023
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