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Synthesizing 3D human motion plays an important role in many graphics applications as well as understanding human activity.
The ecological approach to visual perception
James J. Gibson · 1979
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Social force model for pedestrian dynamics
Dirk Helbing and Peter Molnar · 1995
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Style machines
Matthew Brand and Aaron Hertzmann · 2000
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Learning switching linear models of human motion
Vladimir Pavlovic, James M Rehg, and John MacCormick · 2000
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Motion texture: a two-level statistical model for character motion synthesis
Yan Li, Tianshu Wang, and Heung-Yeung Shum · 2002
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Synthesis of complex dynamic character motion from simple animations
C Karen Liu and Zoran Popović · 2002
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On-line locomotion generation based on motion blending
Sang Il Park, Hyun Joon Shin, and Sung Yong Shin · 2002
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Flexible automatic motion blending with registration curves
Lucas Kovar and Michael Gleicher · 2003
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Continuum crowds
Adrien Treuille, Seth Cooper, and Zoran Popović · 2006
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Topologically-constrained latent variable models
Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell, and Neil D. Lawrence · 2008
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From 3d scene geometry to human workspace
Abhinav Gupta, Scott Satkin, Alexei A Efros, and Martial Hebert · 2011
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Scene semantics from long-term observation of people
Vincent Delaitre, David F Fouhey, Ivan Laptev, Josef Sivic, Abhinav Gupta, and Alexei A Efros · 2012
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Activity forecasting
Kris M Kitani, Brian D Ziebart, James Andrew Bagnell, and Martial Hebert · 2012
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Characteristics preserving racer animation: a data-driven race path synthesis in formation space
Charlie Irawan Tan and Wen-Kai Tai · 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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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Learning human activities and object affordances from rgb-d videos
Hema Swetha Koppula, Rudhir Gupta, and Ashutosh Saxena · 2013
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Socially-aware large-scale crowd forecasting
Alexandre Alahi, Vignesh Ramanathan, and Li Fei-Fei · 2014
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People watching: Human actions as a cue for single view geometry
David F Fouhey, Vincent Delaitre, Abhinav Gupta, Alexei A Efros, Ivan Laptev, and Josef Sivic · 2014
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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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Scenegrok: Inferring action maps in 3d environments
Manolis Savva, Angel X Chang, Pat Hanrahan, Matthew Fisher, and Matthias Nießner · 2014
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Reasoning about object affordances in a knowledge base representation
Yuke Zhu, Alireza Fathi, and Li Fei-Fei · 2014
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Recurrent network models for human dynamics
Katerina Fragkiadaki, Sergey Levine, Panna Felsen, and Jitendra Malik · 2015
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Learning motion manifolds with convolutional autoencoders
Daniel Holden, Jun Saito, Taku Komura, and Thomas Joyce · 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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Learning structured output representation using deep conditional generative models
Kihyuk Sohn, Honglak Lee, and Xinchen Yan · 2015
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Realtime style transfer for unlabeled heterogeneous human motion
Shihong Xia, Congyi Wang, Jinxiang Chai, and Jessica K. Hodgins · 2015
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Social lstm: Human trajectory prediction in crowded spaces
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, and Silvio Savarese · 2016
Quaternet: A quaternion-based recurrent model for human motion
Dario Pavllo, David Grangier, and Michael Auli · 2018
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Socially compliant navigation through raw depth inputs with generative adversarial imitation learning
Lei Tai, Jingwei Zhang, Ming Liu, and Wolfram Burgard · 2018
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Where and who? automatic semantic-aware person composition
Fuwen Tan, Crispin Bernier, Benjamin Cohen, Vicente Ordonez, and Connelly Barnes · 2018
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Learning to forecast and refine residual motion for image-to-video generation
Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, and Dimitris Metaxas · 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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3d semantic parsing of large-scale indoor spaces
Iro Armeni, Ozan Sener, Amir R Zamir, Helen Jiang, Ioannis Brilakis, Martin Fischer, and Silvio Savarese · 2016
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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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Structural-rnn: Deep learning on spatio-temporal graphs
Ashesh Jain, Amir R Zamir, Silvio Savarese, and Ashutosh Saxena · 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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Inferring forces and learning human utilities from videos
Yixin Zhu, Chenfanfu Jiang, Yibiao Zhao, Demetri Terzopoulos, and Song-Chun Zhu · 2016
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Matterport3d: Learning from rgb-d data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 2017
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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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Human motion prediction via spatio-temporal inpainting
Alejandro Hernandez, Jurgen Gall, and Francesc Moreno-Noguer · 2019
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Putting humans in a scene: Learning affordance in 3d indoor environments
Xueting Li, Sifei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, and Jan Kautz · 2019
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Overcoming limitations of mixture density networks: A sampling and fitting framework for multimodal future prediction
Osama Makansi, Eddy Ilg, Ozgun Cicek, and Thomas Brox · 2019
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Learning trajectory dependencies for human motion prediction
Wei Mao, Miaomiao Liu, Mathieu Salzmann, and Hongdong Li · 2019
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imapper: interaction-guided scene mapping from monocular videos
Aron Monszpart, Paul Guerrero, Duygu Ceylan, Ersin Yumer, and Niloy J Mitra · 2019
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Expressive body capture: 3d hands, face, and body from a single image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed AA Osman, Dimitrios Tzionas, and Michael J Black · 2019
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3d human pose estimation in video with temporal convolutions and semi-supervised training
Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli · 2019
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Sophie: An attentive gan for predicting paths compliant to social and physical constraints
Amir Sadeghian, Vineet Kosaraju, Ali Sadeghian, Noriaki Hirose, Hamid Rezatofighi, and Silvio Savarese · 2019
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Neural state machine for character-scene interactions
Sebastian Starke, He Zhang, Taku Komura, and Jun Saito · 2019
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Geometric pose affordance: 3d human pose with scene constraints
Zhe Wang, Liyan Chen, Shaurya Rathore, Daeyun Shin, and Charless Fowlkes · 2019
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Learning-based sphere nonlinear interpolation for motion synthesis
Guiyu Xia, Huaijiang Sun, Qingshan Liu, and Renlong Hang · 2019
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On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
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Unpaired motion style transfer from video to animation
Kfir Aberman, Yijia Weng, Dani Lischinski, Daniel Cohen-Or, and Baoquan Chen · 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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Robust motion in-betweening
Félix G Harvey, Mike Yurick, Derek Nowrouzezahrai, and Christopher Pal · 2020
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Character controllers using motion vaes
Hung Yu Ling, Fabio Zinno, George Cheng, and Michiel Van De Panne · 2020
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Hierarchical style-based networks for motion synthesis
Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, and Trevor Darrell · 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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