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We present Hand ArticuLated Occupancy (HALO), a novel representation of articulated hands that bridges the advantages of 3D keypoints and neural implicit surfaces and can be used in end-to-end trainable architectures.
Analyzing and capturing articulated hand motion in image sequences
Ying Wu, John Lin, and Thomas S Huang · 2005
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Model-based 3d hand pose estimation from monocular video
Martin de La Gorce, David J Fleet, and Nikos Paragios · 2011
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The grasp taxonomy of human grasp types
Thomas Feix, Javier Romero, Heinz-Bodo Schmiedmayer, Aaron M Dollar, and Danica Kragic · 2015
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SMPL: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black · 2015
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Robust 3d hand pose estimation in single depth images: from single-view cnn to multi-view cnns
Liuhao Ge, Hui Liang, Junsong Yuan, and Daniel Thalmann · 2016
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas · 2016
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Embodied hands: Modeling and capturing hands and bodies together
Javier Romero, Dimitrios Tzionas, and Michael J. Black · 2017
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Hand keypoint detection in single images using multiview bootstrapping
Tomas Simon, Hanbyul Joo, Iain Matthews, and Yaser Sheikh · 2017
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Learning to estimate 3d hand pose from single rgb images
Christian Zimmermann and Thomas Brox · 2017
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Weakly-supervised 3d hand pose estimation from monocular rgb images
Yujun Cai, Liuhao Ge, Jianfei Cai, and Junsong Yuan · 2018
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First-person hand action benchmark with rgb-d videos and 3d hand pose annotations
Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, and Tae-Kyun Kim · 2018
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Hand pose estimation via latent 2.5 d heatmap regression
Umar Iqbal, Pavlo Molchanov, Thomas Breuel Juergen Gall, and Jan Kautz · 2018
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V2v-posenet: Voxel-to-voxel prediction network for accurate 3d hand and human pose estimation from a single depth map
Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee · 2018
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Ganerated hands for real-time 3d hand tracking from monocular rgb
Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas, and Christian Theobalt · 2018
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Using a single rgb frame for real time 3d hand pose estimation in the wild
Paschalis Panteleris, Iason Oikonomidis, and Antonis Argyros · 2018
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Cross-modal deep variational hand pose estimation
Adrian Spurr, Jie Song, Seonwook Park, and Otmar Hilliges · 2018
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Pushing the envelope for rgb-based dense 3d hand pose estimation via neural rendering
Seungryul Baek, Kwang In Kim, and Tae-Kyun Kim · 2019
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3d hand shape and pose from images in the wild
Adnane Boukhayma, Rodrigo de Bem, and Philip HS Torr · 2019
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Contactdb: Analyzing and predicting grasp contact via thermal imaging
Samarth Brahmbhatt, Cusuh Ham, Charles C Kemp, and James Hays · 2019
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ContactDB: Analyzing and predicting grasp contact via thermal imaging
Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, and James Hays · 2019
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Learning implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 2019
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3d hand shape and pose estimation from a single rgb image
Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, and Junsong Yuan · 2019
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Learning shape templates with structured implicit functions
Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T Freeman, and Thomas Funkhouser · 2019
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Learning joint reconstruction of hands and manipulated objects
Yana Hasson, Gul Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J Black, Ivan Laptev, and Cordelia Schmid · 2019
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Learning to infer implicit surfaces without 3d supervision
Shichen Liu, Shunsuke Saito, Weikai Chen, and Hao Li · 2019
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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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6-dof graspnet: Variational grasp generation for object manipulation
Arsalan Mousavian, Clemens Eppner, and Dieter Fox · 2019
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Real-time Pose and Shape Reconstruction of Two Interacting Hands With a Single Depth Camera
Franziska Mueller, Micah Davis, Florian Bernard, Oleksandr Sotnychenko, Mickeal Verschoor, Miguel A. Otaduy, Dan Casas, and Christian Theobalt · 2019
Cited alongside, same era.
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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Weakly-supervised mesh-convolutional hand reconstruction in the wild
Dominik Kulon, Riza Alp Guler, Iasonas Kokkinos, Michael M. Bronstein, and Stefanos Zafeiriou · 2020
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Dist: Rendering deep implicit signed distance function with differentiable sphere tracing
Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, and Zhaopeng Cui · 2020
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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 · 2020
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I2l-meshnet: Image-to-lixel prediction network for accurate 3d human pose and mesh estimation from a single rgb image
Gyeongsik Moon and Kyoung Mu Lee · 2020
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Deephandmesh: A weakly-supervised deep encoder-decoder framework for high-fidelity hand mesh modeling
Gyeongsik Moon, Takaaki Shiratori, and Kyoung Mu Lee · 2020
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Sergey Prokudin, Christoph Lassner, and Javier Romero · 2019
Cited alongside, same era.
Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization
Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, and Hao Li · 2019
Cited alongside, same era.
Scene representation networks: Continuous 3d-structure-aware neural scene representations
Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein · 2019
Cited alongside, same era.
H+ o: Unified egocentric recognition of 3d hand-object poses and interactions
Bugra Tekin, Federica Bogo, and Marc Pollefeys · 2019
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Disentangling latent hands for image synthesis and pose estimation
Linlin Yang and Angela Yao · 2019
Cited alongside, same era.
End-to-end hand mesh recovery from a monocular rgb image
Xiong Zhang, Qiang Li, Hong Mo, Wenbo Zhang, and Wen Zheng · 2019
Cited alongside, same era.
Weakly-supervised domain adaptation via gan and mesh model for estimating 3d hand poses interacting objects
Seungryul Baek, Kwang In Kim, and Tae-Kyun Kim · 2020
Cited alongside, same era.
Interhand2.6m: A dataset and baseline for 3d interacting hand pose estimation from a single rgb image
Gyeongsik Moon, Shoou-I Yu, He Wen, Takaaki Shiratori, and Kyoung Mu Lee · 2020
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Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 2020
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Convolutional occupancy networks
Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, and Andreas Geiger · 2020
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Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien Martel, Alexander Bergman, David Lindell, and Gordon Wetzstein · 2020
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Weakly supervised 3d hand pose estimation via biomechanical constraints
Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, and Jan Kautz · 2020
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GRAB: A dataset of whole-body human grasping of objects
Omid Taheri, Nima Ghorbani, Michael J. Black, and Dimitrios Tzionas · 2020
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Dual grid net: Hand mesh vertex regression from single depth maps
Chengde Wan, Thomas Probst, Luc Van Gool, and Angela Yao · 2020
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RGB2Hands: Real-Time Tracking of 3D Hand Interactions from Monocular RGB Video
Jiayi Wang, Franziska Mueller, Florian Bernard, Suzanne Sorli, Oleksandr Sotnychenko, Neng Qian, Miguel A. Otaduy, Dan Casas, and Christian Theobalt · 2020
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Bihand: Recovering hand mesh with multi-stage bisected hourglass networks
Lixin Yang, Jiasen Li, Wenqiang Xu, Yiqun Diao, and Cewu Lu · 2020
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Place: Proximity learning of articulation and contact in 3d environments
Siwei Zhang, Yan Zhang, Qianli Ma, Michael J Black, and Siyu Tang · 2020
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Generating 3d people in scenes without people
Yan Zhang, Mohamed Hassan, Heiko Neumann, Michael J Black, and Siyu Tang · 2020
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Monocular real-time hand shape and motion capture using multi-modal data
Yuxiao Zhou, Marc Habermann, Weipeng Xu, Ikhsanul Habibie, Christian Theobalt, and Feng Xu · 2020
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DexYCB: A benchmark for capturing hand grasping of objects
Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj S. Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, and Dieter Fox · 2021
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Contactopt: Optimizing contact to improve grasps
Patrick Grady, Chengcheng Tang, Christopher D Twigg, Minh Vo, Samarth Brahmbhatt, and Charles C Kemp · 2021
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Semi-supervised 3d hand-object poses estimation with interactions in time
Shaowei Liu, Hanwen Jiang, Jiarui Xu, Sifei Liu, and Xiaolong Wang · 2021
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Leap: Learning articulated occupancy of people
Marko Mihajlovic, Yan Zhang, Michael J Black, and Siyu Tang · 2021
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SCANimate: Weakly supervised learning of skinned clothed avatar networks
Shunsuke Saito, Jinlong Yang, Qianli Ma, and Michael J. Black · 2021
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Locally aware piecewise transformation fields for 3d human mesh registration
Shaofei Wang, Andreas Geiger, and Siyu Tang · 2021
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