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Humans naturally interact with both others and the surrounding multiple objects, engaging in various social activities.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Xsens Technologies B.V
XSENS · 2011
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Exploiting sparse representations for robust analysis of noisy complex video scenes
Gloria Zen, Elisa Ricci, and Nicu Sebe · 2012
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Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2013
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High-quality streamable free-viewpoint video
Alvaro Collet, Ming Chuang, Pat Sweeney, Don Gillett, Dennis Evseev, David Calabrese, Hugues Hoppe, Adam Kirk, and Steve Sullivan · 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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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Pigraphs: learning interaction snapshots from observations
Manolis Savva, Angel X Chang, Pat Hanrahan, Matthew Fisher, and Matthias Nießner · 2016
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Capturing hands in action using discriminative salient points and physics simulation
Dimitrios Tzionas, Luca Ballan, Abhilash Srikantha, Pablo Aponte, Marc Pollefeys, and Juergen Gall · 2016
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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End-to-end recovery of human shape and pose
Angjoo Kanazawa, Michael J Black, David W Jacobs, and Jitendra Malik · 2018
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Neural 3d mesh renderer
Hiroharu Kato, Yoshitaka Ushiku, and Tatsuya Harada · 2018
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Single-shot multi-person 3d pose estimation from monocular rgb
Dushyant Mehta · 2018
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Recovering accurate 3d human pose in the wild using imus and a moving camera
Timo von Marcard, Roberto Henschel, Michael Black, Bodo Rosenhahn, and Gerard Pons-Moll · 2018
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Resolving 3d human pose ambiguities with 3d scene constraints
Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, and Michael J Black · 2019
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Amass: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F Troje, Gerard Pons-Moll, and Michael J Black · 2019
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Camera distance-aware top-down approach for 3d multi-person pose estimation from a single rgb image
Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee · 2019
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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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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Vibe: Video inference for human body pose and shape estimation
Muhammed Kocabas, Nikos Athanasiou, and Michael J. Black · 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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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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Smap: Single-shot multi-person absolute 3d pose estimation
Jianan Zhen, Qi Fang, Jiaming Sun, Wentao Liu, Wei Jiang, Hujun Bao, and Xiaowei Zhou · 2020
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Github, 2021
Easymocap - make human motion capture easier · 2021
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Gravity-aware monocular 3d human-object reconstruction
Rishabh Dabral, Soshi Shimada, Arjun Jain, Christian Theobalt, and Vladislav Golyanik · 2021
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Fast and robust multi-person 3d pose estimation and tracking from multiple views
Junting Dong, Qi Fang, Wen Jiang, Yurou Yang, Qixing Huang, Hujun Bao, and Xiaowei Zhou · 2021
Human-aware object placement for visual environment reconstruction
Hongwei Yi, Chun-Hao P. Huang, Dimitrios Tzionas, Muhammed Kocabas, Mohamed Hassan, Siyu Tang, Justus Thies, and Michael J. Black · 2022
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Circle: Capture in rich contextual environments
Joao Pedro Araújo, Jiaman Li, Karthik Vetrivel, Rishi Agarwal, Jiajun Wu, Deepak Gopinath, Alexander William Clegg, and Karen Liu · 2023
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Mofusion: A framework for denoising-diffusion-based motion synthesis
Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, and Christian Theobalt · 2023
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Cg-hoi: Contact-guided 3d human-object interaction generation
Christian Diller and Angela Dai · 2023
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Stackflow: Monocular human-object reconstruction by stacked normalizing flow with offset
Chaofan Huo, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, and Jingya Wang · 2023
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Stochastic scene-aware motion prediction
Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, and Michael J 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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PARE: Part attention regressor for 3D human body estimation
Muhammed Kocabas, Chun-Hao P. Huang, Otmar Hilliges, and Michael J. Black · 2021
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Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation
Jiefeng Li, Chao Xu, Zhicun Chen, Siyuan Bian, Lixin Yang, and Cewu Lu · 2021
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Frankmocap: A monocular 3d whole-body pose estimation system via regression and integration
Yu Rong, Takaaki Shiratori, and Hanbyul Joo · 2021
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Holistic 3d human and scene mesh estimation from single view images
Zhenzhen Weng and Serena Yeung · 2021
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Full-body articulated human-object interaction, 2023
Nan Jiang, Tengyu Liu, Zhexuan Cao, Jieming Cui, Zhiyuan zhang, Yixin Chen, He Wang, Yixin Zhu, and Siyuan Huang · 2023
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Gmd: Controllable human motion synthesis via guided diffusion models
Korrawe Karunratanakul, Konpat Preechakul, Supasorn Suwajanakorn, and Siyu Tang · 2023
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Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Intergen: Diffusion-based multi-human motion generation under complex interactions
Han Liang, Wenqian Zhang, Wenxuan Li, Jingyi Yu, and Lan Xu · 2023
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Hoi-diff: Text-driven synthesis of 3d human-object interactions using diffusion models
Xiaogang Peng, Yiming Xie, Zizhao Wu, Varun Jampani, Deqing Sun, and Huaizu Jiang · 2023
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Hierarchical generation of human-object interactions with diffusion probabilistic models
Huaijin Pi, Sida Peng, Minghui Yang, Xiaowei Zhou, and Hujun Bao · 2023
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3D CAPTURE, FOR EVERYONE
Polycam · 2023
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Lidar-aid inertial poser: Large-scale human motion capture by sparse inertial and lidar sensors
Yiming Ren, Chengfeng Zhao, Yannan He, Peishan Cong, Han Liang, Jingyi Yu, Lan Xu, and Yuexin Ma · 2023
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Physhoi: Physics-based imitation of dynamic human-object interaction
Yinhuai Wang, Jing Lin, Ailing Zeng, Zhengyi Luo, Jian Zhang, and Lei Zhang · 2023
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Track anything: Segment anything meets videos, 2023
Jinyu Yang, Mingqi Gao, Zhe Li, Shang Gao, Fangjing Wang, and Feng Zheng · 2023
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Mime: Human-aware 3d scene generation
Hongwei Yi, Chun-Hao P Huang, Shashank Tripathi, Lea Hering, Justus Thies, and Michael J Black · 2023
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I’m hoi: Inertia-aware monocular capture of 3d human-object interactions
Chengfeng Zhao, Juze Zhang, Jiashen Du, Ziwei Shan, Junye Wang, Jingyi Yu, Jingya Wang, and Lan Xu · 2023
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Anyskill: Learning open-vocabulary physical skill for interactive agents
Jieming Cui, Tengyu Liu, Nian Liu, Yaodong Yang, Yixin Zhu, and Siyuan Huang · 2024
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Interfusion: Text-driven generation of 3d human-object interaction
Sisi Dai, Wenhao Li, Haowen Sun, Haibin Huang, Chongyang Ma, Hui Huang, Kai Xu, and Ruizhen Hu · 2024
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Scaling up dynamic human-scene interaction modeling
Nan Jiang, Zhiyuan Zhang, Hongjie Li, Xiaoxuan Ma, Zan Wang, Yixin Chen, Tengyu Liu, Yixin Zhu, and Siyuan Huang · 2024
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Force: Dataset and method for intuitive physics guided human-object interaction
Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Ilya Petrov, Vladimir Guzov, Helisa Dhamo, Eduardo Pérez-Pellitero, and Gerard Pons-Moll · 2024
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