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We present ArtiGrasp, a novel method to synthesize bi-manual hand-object interactions that include grasping and articulation.
Learning diverse and physically feasible dexterous grasps with generative model and bilevel optimization
Albert Wu, Michelle Guo, and Karen Liu · 1948
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Synthesis of detailed hand manipulations using contact sampling
Yuting Ye and C Karen Liu · 2012
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Learning motion manifolds with convolutional autoencoders
Daniel Holden, Jun Saito, Taku Komura, and Thomas Joyce · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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A deep learning framework for character motion synthesis and editing
Daniel Holden, Jun Saito, and Taku Komura · 2016
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Learning human motion models for long-term predictions
Partha Ghosh, Jie Song, Emre Aksan, and Otmar Hilliges · 2017
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Learning complex dexterous manipulation with deep reinforcement learning and demonstrations
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, Giulia Vezzani, John Schulman, Emanuel Todorov, and Sergey Levine · 2017
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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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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Per-contact iteration method for solving contact dynamics
Jemin Hwangbo, Joonho Lee, and Marco Hutter · 2018
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Structured prediction helps 3d human motion modelling
Emre Aksan, Manuel Kaufmann, and Otmar Hilliges · 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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Guided deep reinforcement learning of control policies for dexterous human-robot interaction
Sammy Christen, Stefan Stevšić, and Otmar Hilliges · 2019
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Learning joint reconstruction of hands and manipulated objects
Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, and Cordelia Schmid · 2019
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H+O: Unified egocentric recognition of 3D hand-object poses and interactions
Bugra Tekin, Federica Bogo, and Marc Pollefeys · 2019
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Learning a generative model for multi-step human-object interactions from videos
He Wang, Sören Pirk, Ersin Yumer, Vladimir G Kim, Ozan Sener, Srinath Sridhar, and Leonidas J Guibas · 2019
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Learning dexterous in-hand manipulation
OpenAI: Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Józefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell, Alex Ray, Jonas Schneider, Szymon Sidor, Josh Tobin, Peter Welinder, Lilian Weng, and Wojciech Zaremba · 2020
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ContactPose: A dataset of grasps with object contact and hand pose
Samarth Brahmbhatt, Chengcheng Tang, Christopher D Twigg, Charles C Kemp, and James Hays · 2020
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Long-term human motion prediction with scene context
Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, and Jitendra Malik · 2020
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Ganhand: Predicting human grasp affordances in multi-object scenes
Enric Corona, Albert Pumarola, Guillem Alenya, Francesc Moreno-Noguer, and Grégory Rogez · 2020
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Physics-based dexterous manipulations with estimated hand poses and residual reinforcement learning
Guillermo Garcia-Hernando, Edward Johns, and Tae-Kyun Kim · 2020
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HOnnotate: A method for 3d annotation of hand and object poses
Shreyas Hampali, Mahdi Rad, Markus Oberweger, and Vincent Lepetit · 2020
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Leveraging photometric consistency over time for sparsely supervised hand-object reconstruction
Yana Hasson, Bugra Tekin, Federica Bogo, Ivan Laptev, Marc Pollefeys, and Cordelia Schmid · 2020
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Grasping field: Learning implicit representations for human grasps
Korrawe Karunratanakul, Jinlong Yang, Yan Zhang, Michael J Black, Krikamol Muandet, and Siyu Tang · 2020
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Physcap: Physically plausible monocular 3d motion capture in real time
Soshi Shimada, Vladislav Golyanik, Weipeng Xu, and Christian Theobalt · 2020
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Local motion phases for learning multi-contact character movements
Sebastian Starke, Yiwei Zhao, Taku Komura, and Kazi Zaman · 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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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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A spatio-temporal transformer for 3d human motion prediction
Emre Aksan, Manuel Kaufmann, Peng Cao, and Otmar Hilliges · 2021
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A simple method for complex in-hand manipulation
Tao Chen, Jie Xu, and Pulkit Agrawal · 2021
Embodied scene-aware human pose estimation
Zhengyi Luo, Shun Iwase, Ye Yuan, and Kris Kitani · 2022
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DexMV: Imitation learning for dexterous manipulation from human videos
Yuzhe Qin, Yueh-Hua Wu, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, and Xiaolong Wang · 2022
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Learning high-DOF reaching-and-grasping via dynamic representation of gripper-object interaction
Qijin She, Ruizhen Hu, Juzhan Xu, Min Liu, Kai Xu, and Hui Huang · 2022
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GOAL: Generating 4D whole-body motion for hand-object grasping
Omid Taheri, Vasileios Choutas, Michael J. Black, and Dimitrios Tzionas · 2022
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COUCH: Towards controllable human-chair interactions
Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Vladimir Guzov, and Gerard Pons-Moll · 2022
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Toch: Spatio-temporal object correspondence to hand for motion refinement
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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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Stochastic scene-aware motion prediction
Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, and Michael Black · 2021
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Hand-object contact consistency reasoning for human grasps generation
Hanwen Jiang, Shaowei Liu, Jiashun Wang, and Xiaolong Wang · 2021
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A skeleton-driven neural occupancy representation for articulated hands
Korrawe Karunratanakul, Adrian Spurr, Zicong Fan, Otmar Hilliges, and Siyu Tang · 2021
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H2o: Two hands manipulating objects for first person interaction recognition
Taein Kwon, Bugra Tekin, Jan Stühmer, Federica Bogo, and Marc Pollefeys · 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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Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, and Gerard Pons-Moll · 2022
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Tempclr: Reconstructing hands via time-coherent contrastive learning
Andrea Ziani, Zicong Fan, Muhammed Kocabas, Sammy Christen, and Otmar Hilliges · 2022
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Learning a universal human prior for dexterous manipulation from human preference
Zihan Ding, Yuanpei Chen, Allen Z Ren, Shixiang Shane Gu, Hao Dong, and Chi Jin · 2023
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ARCTIC: A dataset for dexterous bimanual hand-object manipulation
Zicong Fan, Omid Taheri, Dimitrios Tzionas, Muhammed Kocabas, Manuel Kaufmann, Michael J. Black, and Otmar Hilliges · 2023
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IMoS: Intent-driven full-body motion synthesis for human-object interactions
Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik, Christian Theobalt, and Philipp Slusallek · 2023
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VR-HandNet: A visually and physically plausible hand manipulation system in virtual reality
DongHeun Han, RoUn Lee, KyeongMin Kim, and HyeongYeop Kang · 2023
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Synthesizing physical character-scene interactions
Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael Black, Sanja Fidler, and Xue Bin Peng · 2023
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Diffusion-based generation, optimization, and planning in 3d scenes
Siyuan Huang, Zan Wang, Puhao Li, Baoxiong Jia, Tengyu Liu, Yixin Zhu, Wei Liang, and Song-Chun Zhu · 2023
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Locomotion-action-manipulation: Synthesizing human-scene interactions in complex 3D environments
Jiye Lee and Hanbyul Joo · 2023
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Qingtao Liu, Yu Cui, Zhengnan Sun, Haoming Li, Gaofeng Li, Lin Shao, Jiming Chen, and Qi Ye · 2023
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DexPoint: Generalizable point cloud reinforcement learning for sim-to-real dexterous manipulation
Yuzhe Qin, Binghao Huang, Zhao-Heng Yin, Hao Su, and Xiaolong Wang · 2023
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Weikang Wan, Haoran Geng, Yun Liu, Zikang Shan, Yaodong Yang, Li Yi, and He Wang · 2023
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DexGraspNet: A large-scale robotic dexterous grasp dataset for general objects based on simulation
Ruicheng Wang, Jialiang Zhang, Jiayi Chen, Yinzhen Xu, Puhao Li, Tengyu Liu, and He Wang · 2023
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UniDexGrasp: Universal robotic dexterous grasping via learning diverse proposal generation and goal-conditioned policy
Yinzhen Xu, Weikang Wan, Jialiang Zhang, Haoran Liu, Zikang Shan, Hao Shen, Ruicheng Wang, Haoran Geng, Yijia Weng, Jiayi Chen, et al · 2023
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Learning continuous grasping function with a dexterous hand from human demonstrations
Jianglong Ye, Jiashun Wang, Binghao Huang, Yuzhe Qin, and Xiaolong Wang · 2023
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CAMS: Canonicalized manipulation spaces for category-level functional hand-object manipulation synthesis
Juntian Zheng, Qingyuan Zheng, Lixing Fang, Yun Liu, and Li Yi · 2023
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Zehao Zhu, Jiashun Wang, Yuzhe Qin, Deqing Sun, Varun Jampani, and Xiaolong Wang · 2023
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Physically plausible full-body hand-object interaction synthesis
Jona Braun, Sammy Christen, Muhammed Kocabas, Emre Aksan, and Otmar Hilliges · 2024
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