Fetching the paper…
Reading the bibliography…
We explore how body shapes influence human motion synthesis, an aspect often overlooked in existing text-to-motion generation methods due to the ease of learning a homogenized, canonical body shape.
Representations of knowledge in complex systems
Ulf Grenander and Michael I. Miller · 1994
Earlier work this paper cites.
Online motion retargetting
Kwang-Jin Choi and Hyeong-Seok Ko · 2000
Earlier work this paper cites.
CMU MoCap Dataset, 2003
Carnegie Mellon University · 2003
Earlier work this paper cites.
Documentation mocap database hdm05
M. Müller, T. Röder, M. Clausen, B. Eberhardt, B. Krüger, and A. Weber · 2007
Earlier work this paper cites.
Eyes Japan MoCap Dataset, 2008
Eyes JAPAN Co. Ltd · 2008
Earlier work this paper cites.
HumanEva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion
L. Sigal, A. Balan, and M. J. Black · 2010
Earlier work this paper cites.
Animating Non-Humanoid Characters with Human Motion Data
Katsu Yamane, Yuka Ariki, and Jessica Hodgins · 2010
Earlier work this paper cites.
SFU Motion Capture Database, 2011
Simon Fraser University and National University of Singapore · 2011
Earlier work this paper cites.
Sleight of hand: Perception of finger motion from reduced marker sets
Ludovic Hoyet, Kenneth Ryall, Rachel McDonnell, and Carol O’Sullivan · 2012
Earlier work this paper cites.
MoSh: Motion and shape capture from sparse markers
Matthew M. Loper, Naureen Mahmood, and Michael J. Black · 2014
Earlier work this paper cites.
Pose-conditioned joint angle limits for 3D human pose reconstruction
Ijaz Akhter and Michael J. Black · 2015
Earlier work this paper cites.
Example-Based Retargeting of Human Motion to Arbitrary Mesh Models
Ufuk Celikcan, Ilker O. Yaz, and Tolga Capin · 2015
Earlier work this paper cites.
dev.epicgames.com/documentation/en-us/unreal-engine/animation-retargeting-in-unreal-engine, 2015
Unreal Engine · 2015
Earlier work this paper cites.
Recurrent network models for human dynamics
Katerina Fragkiadaki, Sergey Levine, Panna Felsen, and Jitendra Malik · 2015
Earlier work this paper cites.
Bewegungsanalyse getäuschter und nicht-getäuschter 7m-würfe im handball
Fabian Helm, Nikolaus Troje, Mathias Reiser, and Jörn Munzert · 2015
Earlier work this paper cites.
Smpl: a skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black · 2015
Earlier work this paper cites.
A deep learning framework for character motion synthesis and editing
Daniel Holden, Jun Saito, and Taku Komura · 2016
Earlier work this paper cites.
The KIT motion-language dataset
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2016
Earlier work this paper cites.
High-dimensional continuous control using generalized advantage estimation
John Schulman, Philipp Moritz, Sergey Levine, Michael I. Jordan, and P. Abbeel · 2016
Earlier work this paper cites.
Motion style retargeting to characters with different morphologies
M. Abdul-Massih, I. Yoo, and B. Benes · 2017
Earlier work this paper cites.
Dynamic FAUST: Registering human bodies in motion
Federica Bogo, Javier Romero, Gerard Pons-Moll, and Michael J. Black · 2017
Earlier work this paper cites.
Deep representation learning for human motion prediction and classification
Judith Butepage, Michael J Black, Danica Kragic, and Hedvig Kjellstrom · 2017
Earlier work this paper cites.
Learning human motion models for long-term predictions
Partha Ghosh, Jie Song, Emre Aksan, and Otmar Hilliges · 2017
Earlier work this paper cites.
A recurrent variational autoencoder for human motion synthesis
Taku Komura, Ikhsanul Habibie, Daniel Holden, Jonathan Schwarz, and Joe Yearsley · 2017
Earlier work this paper cites.
Learning locomotion skills using deeprl: does the choice of action space matter?
Xue Bin Peng and Michiel van de Panne · 2017
Earlier work this paper cites.
Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
Earlier work this paper cites.
Total Capture: 3d human pose estimation fusing video and inertial sensors
Matt Trumble, Andrew Gilbert, Charles Malleson, Adrian Hilton, and John Collomosse · 2017
Earlier work this paper cites.
Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
Earlier work this paper cites.
Joint 3d human motion capture and physical analysis from monocular videos
Petrissa Zell, Bastian Wandt, and Bodo Rosenhahn · 2017
Earlier work this paper cites.
Text2action: Generative adversarial synthesis from language to action
Hyemin Ahn, Timothy Ha, Yunho Choi, Hwiyeon Yoo, and Songhwai Oh · 2018
Earlier work this paper cites.
Hp-gan: Probabilistic 3d human motion prediction via gan
Emad Barsoum, John Kender, and Zicheng Liu · 2018
Earlier work this paper cites.
Learning character-agnostic motion for motion retargeting in 2d
Kfir Aberman, Rundi Wu, Dani Lischinski, Baoquan Chen, and Daniel Cohen-Or · 2019
Earlier work this paper cites.
Language2pose: Natural language grounded pose forecasting
Chaitanya Ahuja and Louis-Philippe Morency · 2019
Cited alongside, same era.
Structured prediction helps 3d human motion modelling
Emre Aksan, Manuel Kaufmann, and Otmar Hilliges · 2019
Cited alongside, same era.
Contact preserving shape transfer for rigging-free motion retargeting
Jean Basset, Stefanie Wuhrer, Edmond Boyer, and Franck Multon · 2019
Cited alongside, same era.
Drecon: data-driven responsive control of physics-based characters
Kevin Bergamin, Simon Clavet, Daniel Holden, and James Richard Forbes · 2019
Cited alongside, same era.
Learning individual styles of conversational gesture
Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, and Jitendra Malik · 2019
Cited alongside, same era.
A neural temporal model for human motion prediction
Anand Gopalakrishnan, Ankur Mali, Dan Kifer, Lee Giles, and Alexander G. Ororbia · 2019
Temporal shape transfer network for 3d human motion
João Regateiro and Edmond Boyer · 2022
Later among the works it cites.
Motionclip: Exposing human motion generation to clip space
Guy Tevet, Brian Gordon, Amir Hertz, Amit H Bermano, and Daniel Cohen-Or · 2022
Later among the works it cites.
Physical inertial poser (pip): Physics-aware real-time human motion tracking from sparse inertial sensors
Xinyu Yi, Yuxiao Zhou, Marc Habermann, Soshi Shimada, Vladislav Golyanik, Christian Theobalt, and Feng Xu · 2022
Later among the works it cites.
Motiondiffuse: Text-driven human motion generation with diffusion model
Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, and Ziwei Liu · 2022
Later among the works it cites.
Deep learning-based motion style transfer tools, techniques and future challenges
Syed Muhammad Abrar Akber, Sadia Nishat Kazmi, Syed Muhammad Mohsin, and Agnieszka Szcz · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
AMASS: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black · 2019
Cited alongside, same era.
Skeleton-aware networks for deep motion retargeting
Kfir Aberman, Peizhuo Li, Dani Lischinski, Olga Sorkine-Hornung, Daniel Cohen-Or, and Baoquan Chen · 2020
Cited alongside, same era.
A stochastic conditioning scheme for diverse human motion prediction
Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, and Stephen Gould · 2020
Cited alongside, same era.
MoVi: A large multipurpose motion and video dataset
Saeed Ghorbani, Kimia Mahdaviani, Anne Thaler, Konrad Kording, Douglas James Cook, Gunnar Blohm, and Nikolaus F. Troje · 2020
Cited alongside, same era.
Action2motion: Conditioned generation of 3d human motions
Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, and Li Cheng · 2020
Cited alongside, same era.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu · 2020
Cited alongside, same era.
Sinc: Spatial composition of 3d human motions for simultaneous action generation
Nikos Athanasiou, Mathis Petrovich, Michael J. Black, and Gül Varol · 2023
Later among the works it cites.
Executing your commands via motion diffusion in latent space
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, and Gang Yu · 2023
Later among the works it cites.
Mofusion: A framework for denoising-diffusion-based motion synthesis
Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, and Christian Theobalt · 2023
Later among the works it cites.
Imos: Intent-driven full-body motion synthesis for human-object interactions
Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik, Christian Theobalt, and Philipp Slusallek · 2023
Later among the works it cites.
Semantify: Simplifying the control of 3d morphable models using clip
Omer Gralnik, Guy Gafni, and Ariel Shamir · 2023
Later among the works it cites.
Momask: Generative masked modeling of 3d human motions
Chuan Guo, Yuxuan Mu, Muhammad Gohar Javed, Sen Wang, and Li Cheng · 2023
Later among the works it cites.
Same: Skeleton-agnostic motion embedding for character animation
Sunmin Lee, Taeho Kang, Jungnam Park, Jehee Lee, and Jungdam Won · 2023
Later among the works it cites.
Finite scalar quantization: Vq-vae made simple, 2023
Fabian Mentzer, David Minnen, Eirikur Agustsson, and Michael Tschannen · 2023
Later among the works it cites.
autodesk.com/products/motionbuilder/overview, 2023
MotionBuilder · 2023
Later among the works it cites.
Diffusion motion: Generate text-guided 3d human motion by diffusion model
Zhiyuan Ren, Zhihong Pan, Xin Zhou, and Le Kang · 2023
Later among the works it cites.
rokoko.com, 2023
Rokoko · 2023
Later among the works it cites.
Human motion diffusion model
Guy Tevet, Sigal Raab, Brian Gordon, Yoni Shafir, Daniel Cohen-or, and Amit Haim Bermano · 2023
Later among the works it cites.
3d human pose estimation via intuitive physics
Shashank Tripathi, Lea Müller, Chun-Hao P. Huang, Omid Taheri, Michael J. Black, and Dimitrios Tzionas · 2023
Later among the works it cites.
Edge: Editable dance generation from music
Jonathan Tseng, Rodrigo Castellon, and Karen Liu · 2023
Later among the works it cites.
Physdiff: Physics-guided human motion diffusion model
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, and Jan Kautz · 2023
Later among the works it cites.
Danceanyway: synthesizing beat-guided 3d dances with randomized temporal contrastive learning
Aneesh Bhattacharya, Manas Paranjape, Uttaran Bhattacharya, and Aniket Bera · 2024
Later among the works it cites.
ChatPose: Chatting about 3d human pose
Yao Feng, Jing Lin, Sai Kumar Dwivedi, Yu Sun, Priyanka Patel, and Michael J. Black · 2024
Later among the works it cites.
Remos: 3d motion-conditioned reaction synthesis for two-person interactions
Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik, Christian Theobalt, and Philipp Slusallek · 2024
Later among the works it cites.
Lisa: Reasoning segmentation via large language model
Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, and Jiaya Jia · 2024
Later among the works it cites.
Multimodal sense-informed forecasting of 3d human motions
Zhenyu Lou, Qiongjie Cui, Haofan Wang, Xu Tang, and Hong Zhou · 2024
Later among the works it cites.
Length-aware motion synthesis via latent diffusion
Alessio Sampieri, Alessio Palma, Indro Spinelli, and Fabio Galasso · 2024
Later among the works it cites.
Human motion diffusion as a generative prior
Yoni Shafir, Guy Tevet, Roy Kapon, and Amit Haim Bermano · 2024
Later among the works it cites.
Humos: Human motion model conditioned on body shape
Shashank Tripathi, Omid Taheri, Christoph Lassner, Michael Black, Daniel Holden, and Carsten Stoll · 2024
Later among the works it cites.
Advanced Computing Center for the Arts and Design, 2024
ACCAD/Ohio State University · 2024
Later among the works it cites.
Motion mamba: Efficient and long sequence motion generation
Zeyu Zhang, Akide Liu, Ian Reid, Richard Hartley, Bohan Zhuang, and Hao Tang · 2024
Later among the works it cites.
Bodyshapegpt: Smpl body shape manipulation with llms
Baldomero R. Árbol and Dan Casas · 2024
Later among the works it cites.
A survey on human interaction motion generation
Kewei Sui, Anindita Ghosh, Inwoo Hwang, Jian Wang, and Chuan Guo · 2025
Closest in time.