Fetching the paper…
Reading the bibliography…
Given a series of natural language descriptions, our task is to generate 3D human motions that correspond semantically to the text, and follow the temporal order of the instructions.
Animating rotation with quaternion curves
Ken Shoemake · 1985
Earlier work this paper cites.
Spacetime Constraints
Andrew Witkin and Michael Kass · 1988
Earlier work this paper cites.
Simulating Humans: Computer Graphics, Animation, and Control
Norman I Badler, Cary B Phillips, and Bonnie Lynn Webber · 1993
Earlier work this paper cites.
Efficient Generation of Motion Transitions using Spacetime Constraints
Charles F. Rose, B. Guenter, Bobby Bodenheimer, and Michael F. Cohen · 1996
Earlier work this paper cites.
Learning structured behaviour models using variable length Markov models
Aphrodite Galata, Neil Johnson, and David C. Hogg · 1999
Earlier work this paper cites.
Learning Statistical Models of Human Motion
Richard Bowden · 2000
Earlier work this paper cites.
Learning variable-length Markov models of behavior
Aphrodite Galata, Neil Johnson, and David C. Hogg · 2001
Earlier work this paper cites.
Representing cyclic human motion using functional analysis
Dirk Ormoneit, Michael J. Black, T. Hastie, and H. Kjellström · 2005
Earlier work this paper cites.
Modeling human locomotion with topologically constrained latent variable models
Raquel Urtasun, David J. Fleet, and Neil D. Lawrence · 2007
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.
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.
HP-GAN: probabilistic 3d human motion prediction via GAN
Emad Barsoum, John Kender, and Zicheng Liu · 2017
Earlier work this paper cites.
Phase-functioned neural networks for character control
Daniel Holden, Taku Komura, and Jun Saito · 2017
Earlier work this paper cites.
On human motion prediction using recurrent neural networks
Julieta Martinez, Michael J. Black, and Javier Romero · 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.
Recurrent transition networks for character locomotion
Félix G. Harvey and Cristopher Joseph Pal · 2018
Earlier work this paper cites.
Mode-Adaptive Neural Networks for Quadruped Motion Control
He Zhang, Sebastian Starke, Taku Komura, and Jun Saito · 2018
Cited alongside, same era.
Data-driven autocompletion for keyframe animation
Xinyi Zhang and Michiel van de Panne · 2018
Cited alongside, same era.
Language2Pose: Natural language grounded pose forecasting
Chaitanya Ahuja and Louis-Philippe Morency · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
A Neural temporal model for human motion prediction
Anand Gopalakrishnan, Ankur Mali, Daniel Kifer, C. Lee Giles, and Alexander Ororbia · 2019
Cited alongside, same era.
Decoupled Weight Decay Regularization
Ilya Loshchilov and Frank Hutter · 2019
Cited alongside, same era.
DLow: Diversifying latent flows for diverse human motion prediction
Ye Yuan and Kris M. Kitani · 2020
Later among the works it cites.
Bayesian adversarial human motion synthesis
Rui Zhao, Hui Su, and Q. Ji · 2020
Later among the works it cites.
Generative Tweening: Long-term inbetweening of 3D human motions
Yi Zhou, Jingwan Lu, Connelly Barnes, Jimei Yang, Sitao Xiang, and Hao Li · 2020
Later among the works it cites.
Single-shot motion completion with transformer
Yinglin Duan, Tianyang Shi, Zhengxia Zou, Yenan Lin, Zhehui Qian, Bohan Zhang, Yi Yuan NetEase Fuxi AI Lab, University of Michigan, and NetEase · 2021
Later among the works it cites.
Synthesis of compositional animations from textual descriptions
Anindita Ghosh, Noshaba Cheema, Cennet Oguz, Christian Theobalt, and Philipp Slusallek · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
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.
Modeling human motion with quaternion-based neural networks
Dario Pavllo, Christoph Feichtenhofer, Michael Auli, and David Grangier · 2019
Cited alongside, same era.
Human Motion Prediction via Spatio-Temporal Inpainting
Alejandro Hernandez Ruiz, Juergen Gall, and F. Moreno-Noguer · 2019
Cited alongside, same era.
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf · 2019
Cited alongside, same era.
Neural state machine for character-scene interactions
Sebastian Starke, He Zhang, Taku Komura, and Jun Saito · 2019
Cited alongside, same era.
Convolutional sequence generation for skeleton-based action synthesis
Sijie Yan, Zhizhong Li, Yuanjun Xiong, H. Yan, and Dahua Lin · 2019
Cited alongside, same era.
Stochastic Scene-Aware Motion Prediction
Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, and Michael Black · 2021
Later among the works it cites.
Ai choreographer: Music conditioned 3d dance generation with aist++
Ruilong Li, Shan Yang, D. A. Ross, and Angjoo Kanazawa · 2021
Later among the works it cites.
Action-conditioned 3D human motion synthesis with transformer VAE
Mathis Petrovich, Michael J. Black, and Gül Varol · 2021
Later among the works it cites.
BABEL: Bodies, action and behavior with English labels
Abhinanda R. Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, and Michael J. Black · 2021
Later among the works it cites.
Transflower: Probabilistic autoregressive dance generation with multimodal attention
Guillermo Valle-Pérez, Gustav Eje Henter, Jonas Beskow, Andre Holzapfel, Pierre-Yves Oudeyer, and Simon Alexanderson · 2021
Later among the works it cites.
We are More than Our Joints: Predicting how 3D bodies move
Yan Zhang, Michael J. Black, and Siyu Tang · 2021
Later among the works it cites.
Conditional motion in-betweening
Jihoon Kim, Taehyun Byun, Seungyoung Shin, Jungdam Won, and Sungjoon Choi · 2022
Closest in time.
Weakly-supervised action transition learning for stochastic human motion prediction
Wei Mao, Miaomiao Liu, and Mathieu Salzmann · 2022
Closest in time.
TEMOS: Generating diverse human motions from textual descriptions
Mathis Petrovich, Michael J. Black, and Gül Varol · 2022
Closest in time.
Hierarchical Text-Conditional Image Generation with CLIP latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
Closest in time.
Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S Sara Mahdavi, Rapha Gontijo Lopes, et al · 2022
Closest in time.
ActFormer: A GAN transformer framework towards general action-conditioned 3D human motion generation
Ziyang Song, Dongliang Wang, Nan Jiang, Zhicheng Fang, Chenjing Ding, Weihao Gan, and Wei Wu · 2022
Closest in time.
MotionCLIP: Exposing human motion generation to CLIP space
Guy Tevet, Brian Gordon, Amir Hertz, Amit H Bermano, and Daniel Cohen-Or · 2022
Closest in time.