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Human-object interactions (HOIs) are crucial for human-centric scene understanding applications such as human-centric visual generation, AR/VR, and robotics.
Scape: shape completion and animation of people
Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, and James Davis · 2005
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Observing human-object interactions: Using spatial and functional compatibility for recognition
Abhinav Gupta, Aniruddha Kembhavi, and Larry S Davis · 2009
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Interactive synthesis of human-object interaction
Sumit Jain and C. Karen Liu · 2009
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Human context: Modeling human-human interactions for monocular 3d pose estimation
Mykhaylo Andriluka and Leonid Sigal · 2012
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Shape2pose: Human-centric shape analysis
Vladimir G Kim, Siddhartha Chaudhuri, Leonidas Guibas, and Thomas Funkhouser · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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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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Fusion4d: Real-time performance capture of challenging scenes
Mingsong Dou, Sameh Khamis, Yury Degtyarev, Philip Davidson, Sean Ryan Fanello, Adarsh Kowdle, Sergio Orts Escolano, Christoph Rhemann, David Kim, Jonathan Taylor, et al · 2016
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Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
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Modeling 4d human-object interactions for joint event segmentation, recognition, and object localization
Ping Wei, Yibiao Zhao, Nanning Zheng, and Song-Chun Zhu · 2016
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Motion2fusion: real-time volumetric performance capture
Mingsong Dou, Philip Davidson, Sean Ryan Fanello, Sameh Khamis, Adarsh Kowdle, Christoph Rhemann, Vladimir Tankovich, and Shahram Izadi · 2017
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Compositional learning for human object interaction
Keizo Kato, Yin Li, and Abhinav Gupta · 2018
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Holistic++ scene understanding: Single-view 3d holistic scene parsing and human pose estimation with human-object interaction and physical commonsense
Yixin Chen, Siyuan Huang, Tao Yuan, Siyuan Qi, Yixin Zhu, and Song-Chun Zhu · 2019
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Learning implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 2019
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Estimating 3d motion and forces of person-object interactions from monocular video
Zongmian Li, Jiri Sedlar, Justin Carpentier, Ivan Laptev, Nicolas Mansard, and Josef Sivic · 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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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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Three-dimensional reconstruction of human interactions
Mihai Fieraru, Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Vlad Olaru, and Cristian Sminchisescu · 2020
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Visual compositional learning for human-object interaction detection
Zhi Hou, Xiaojiang Peng, Yu Qiao, and Dacheng Tao · 2020
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Generating videos of zero-shot compositions of actions and objects
Megha Nawhal, Mengyao Zhai, Andreas Lehrmann, Leonid Sigal, and Greg Mori · 2020
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Star: Sparse trained articulated human body regressor
Ahmed AA Osman, Timo Bolkart, and Michael J Black · 2020
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Graf: Generative radiance fields for 3d-aware image synthesis
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger · 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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Perceiving 3d human-object spatial arrangements from a single image in the wild
Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, and Angjoo Kanazawa · 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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Snarf: Differentiable forward skinning for animating non-rigid neural implicit shapes
Xu Chen, Yufeng Zheng, Michael J Black, Otmar Hilliges, and Andreas Geiger · 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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Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors
Vladimir Guzov, Aymen Mir, Torsten Sattler, and Gerard Pons-Moll · 2021
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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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Populating 3D Scenes by Learning Human-Scene Interaction
Mohamed Hassan, Partha Ghosh, Joachim Tesch, Dimitrios Tzionas, and Michael J. Black · 2021
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Space-time Neural Irradiance Fields for Free-Viewpoint Video
Wenqi Xian, Jia-Bin Huang, Johannes Kopf, and Changil Kim · 2021
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H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion
Hongyi Xu, Thiemo Alldieck, and Cristian Sminchisescu · 2021
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D3d-hoi: Dynamic 3d human-object interactions from videos
Xiang Xu, Hanbyul Joo, Greg Mori, and Manolis Savva · 2021
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Learning object-compositional neural radiance field for editable scene rendering
Bangbang Yang, Yinda Zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui · 2021
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Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman · 2022
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Mohamed Hassan, Partha Ghosh, Joachim Tesch, Dimitrios Tzionas, and Michael J Black · 2021
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Affordance transfer learning for human-object interaction detection
Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, and Dacheng Tao · 2021
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Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
Youngjoong Kwon, Dahun Kim, Duygu Ceylan, and Henry Fuchs · 2021
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Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang · 2021
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Neural actor: Neural free-view synthesis of human actors with pose control
Lingjie Liu, Marc Habermann, Viktor Rudnev, Kripasindhu Sarkar, Jiatao Gu, and Christian Theobalt · 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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Giraffe: Representing scenes as compositional generative neural feature fields
Michael Niemeyer and Andreas Geiger · 2021
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Behave: Dataset and method for tracking human object interactions
Bharat Lal Bhatnagar, Xianghui Xie, Ilya A Petrov, Cristian Sminchisescu, Christian Theobalt, and Gerard Pons-Moll · 2022
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Sanjay Haresh, Xiaohao Sun, Hanxiao Jiang, Angel X. Chang, and Manolis Savva · 2022
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Sanjay Haresh, Xiaohao Sun, Hanxiao Jiang, Angel X Chang, and Manolis Savva · 2022
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Intercap: Joint markerless 3d tracking of humans and objects in interaction
Yinghao Huang, Omid Taheri, Michael J Black, and Dimitrios Tzionas · 2022
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NeuralHOFusion: Neural Volumetric Rendering under Human-object Interactions
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Tava: Template-free animatable volumetric actors
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Avatarcap: Animatable avatar conditioned monocular human volumetric capture
Zhe Li, Zerong Zheng, Hongwen Zhang, Chaonan Ji, and Yebin Liu · 2022
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Hoi4d: A 4d egocentric dataset for category-level human-object interaction
Yunze Liu, Yun Liu, Che Jiang, Kangbo Lyu, Weikang Wan, Hao Shen, Boqiang Liang, Zhoujie Fu, He Wang, and Li Yi · 2022
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Danbo: Disentangled articulated neural body representations via graph neural networks
Shih-Yang Su, Timur Bagautdinov, and Helge Rhodin · 2022
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Towards diverse and natural scene-aware 3d human motion synthesis
Jingbo Wang, Yu Rong, Jingyuan Liu, Sijie Yan, Dahua Lin, and Bo Dai · 2022
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Arah: Animatable volume rendering of articulated human sdfs
Shaofei Wang, Katja Schwarz, Andreas Geiger, and Siyu Tang · 2022
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Reconstructing action-conditioned human-object interactions using commonsense knowledge priors
Xi Wang, Gen Li, Yen-Ling Kuo, Muhammed Kocabas, Emre Aksan, and Otmar Hilliges · 2022
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Humannerf: Free-viewpoint rendering of moving people from monocular video
Chung-Yi Weng, Brian Curless, Pratul P Srinivasan, Jonathan T Barron, and Ira Kemelmacher-Shlizerman · 2022
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Chore: Contact, human and object reconstruction from a single rgb image
Xianghui Xie, Bharat Lal Bhatnagar, and Gerard Pons-Moll · 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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Humannerf: Efficiently generated human radiance field from sparse inputs
Fuqiang Zhao, Wei Yang, Jiakai Zhang, Pei Lin, Yingliang Zhang, Jingyi Yu, and Lan Xu · 2022
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Compositional Human-Scene Interaction Synthesis with Semantic Control, July 2022
Kaifeng Zhao, Shaofei Wang, Yan Zhang, Thabo Beeler, and Siyu Tang · 2022
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Compositional human-scene interaction synthesis with semantic control
Kaifeng Zhao, Shaofei Wang, Yan Zhang, Thabo Beeler, and Siyu Tang · 2022
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Structured Local Radiance Fields for Human Avatar Modeling
Zerong Zheng, Han Huang, Tao Yu, Hongwen Zhang, Yandong Guo, and Yebin Liu · 2022
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Toch: Spatio-temporal object-to-hand correspondence for motion refinement
Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, and Gerard Pons-Moll · 2022
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