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Synthesis of Compositional Animations from Textual Descriptions

Synthesis of Compositional Animations from Textual Descriptions

26 March 2021
Anindita Ghosh
N. Cheema
Cennet Oguz
Christian Theobalt
P. Slusallek
ArXivPDFHTML

Papers citing "Synthesis of Compositional Animations from Textual Descriptions"

48 / 48 papers shown
Title
Absolute Coordinates Make Motion Generation Easy
Absolute Coordinates Make Motion Generation Easy
Zichong Meng
Zeyu Han
Xiaogang Peng
Yiming Xie
Huaizu Jiang
109
0
0
26 May 2025
Progressive Human Motion Generation Based on Text and Few Motion Frames
Progressive Human Motion Generation Based on Text and Few Motion Frames
Ling-an Zeng
Gaojie Wu
Ancong Wu
Jian-Fang Hu
Wei-Shi Zheng
91
1
0
17 Mar 2025
MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model
MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model
Wen-Dao Dai
Ling-Hao Chen
Jingbo Wang
Jinpeng Liu
Bo Dai
Yansong Tang
110
61
0
31 Dec 2024
BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis
BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis
Seong-Eun Hong
Soobin Lim
Juyeong Hwang
Minwook Chang
Hyeongyeop Kang
131
1
0
28 Nov 2024
HUMOS: Human Motion Model Conditioned on Body Shape
HUMOS: Human Motion Model Conditioned on Body Shape
Shashank Tripathi
Omid Taheri
Christoph Lassner
Michael J. Black
Daniel Holden
Carsten Stoll
3DH
DiffM
111
7
0
05 Sep 2024
Ham2Pose: Animating Sign Language Notation into Pose Sequences
Ham2Pose: Animating Sign Language Notation into Pose Sequences
Rotem Shalev-Arkushin
Amit Moryossef
Ohad Fried
SLR
76
19
0
24 Nov 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
199
30,069
0
01 Mar 2022
Learning to dance: A graph convolutional adversarial network to generate
  realistic dance motions from audio
Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio
João P. Ferreira
Thiago M. Coutinho
Thiago L. Gomes
J. F. Neto
Rafael Azevedo
Renato Martins
Erickson R. Nascimento
GAN
74
70
0
25 Nov 2020
Hierarchical Style-based Networks for Motion Synthesis
Hierarchical Style-based Networks for Motion Synthesis
Jingwei Xu
Huazhe Xu
Bingbing Ni
Xiaokang Yang
Xinyu Wang
Trevor Darrell
3DH
63
31
0
24 Aug 2020
PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time
PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time
Soshi Shimada
Vladislav Golyanik
Weipeng Xu
Christian Theobalt
3DH
52
82
0
20 Aug 2020
Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker
  Conditional-Mixture Approach
Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach
Chaitanya Ahuja
Dong Won Lee
Y. Nakano
Louis-Philippe Morency
27
104
0
24 Jul 2020
Constructing Human Motion Manifold with Sequential Networks
Constructing Human Motion Manifold with Sequential Networks
Deok-Kyeong Jang
Sung-Hee Lee
43
13
0
29 May 2020
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural
  Network for Human Trajectory Prediction
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
Abduallah A. Mohamed
Kun Qian
Mohamed Elhoseiny
Christian G. Claudel
GNN
78
703
0
27 Feb 2020
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with
  Noisy Supervision
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision
K. Mangalam
Ehsan Adeli
Kuan-Hui Lee
Adrien Gaidon
Juan Carlos Niebles
NoLa
44
48
0
04 Nov 2019
Structured Prediction Helps 3D Human Motion Modelling
Structured Prediction Helps 3D Human Motion Modelling
Emre Aksan
Manuel Kaufmann
Otmar Hilliges
3DH
69
188
0
20 Oct 2019
Language2Pose: Natural Language Grounded Pose Forecasting
Language2Pose: Natural Language Grounded Pose Forecasting
Chaitanya Ahuja
Louis-Philippe Morency
65
271
0
02 Jul 2019
A Multiscale Visualization of Attention in the Transformer Model
A Multiscale Visualization of Attention in the Transformer Model
Jesse Vig
ViT
67
571
0
12 Jun 2019
What Does BERT Look At? An Analysis of BERT's Attention
What Does BERT Look At? An Analysis of BERT's Attention
Kevin Clark
Urvashi Khandelwal
Omer Levy
Christopher D. Manning
MILM
194
1,586
0
11 Jun 2019
MoGlow: Probabilistic and controllable motion synthesis using
  normalising flows
MoGlow: Probabilistic and controllable motion synthesis using normalising flows
G. Henter
Simon Alexanderson
Jonas Beskow
56
98
0
16 May 2019
What do you learn from context? Probing for sentence structure in
  contextualized word representations
What do you learn from context? Probing for sentence structure in contextualized word representations
Ian Tenney
Patrick Xia
Berlin Chen
Alex Jinpeng Wang
Adam Poliak
...
Najoung Kim
Benjamin Van Durme
Samuel R. Bowman
Dipanjan Das
Ellie Pavlick
163
853
0
15 May 2019
Forecasting People Trajectories and Head Poses by Jointly Reasoning on
  Tracklets and Vislets
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets
Irtiza Hasan
Francesco Setti
T. Tsesmelis
Vasileios Belagiannis
S. Amin
Alessio Del Bue
Marco Cristani
Fabio Galasso
66
35
0
07 Jan 2019
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN
Jogendra Nath Kundu
Maharshi Gor
R. Venkatesh Babu
47
142
0
06 Dec 2018
Action-Agnostic Human Pose Forecasting
Action-Agnostic Human Pose Forecasting
Hsu-kuang Chiu
Ehsan Adeli
Borui Wang
De-An Huang
Juan Carlos Niebles
3DH
56
163
0
23 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.2K
93,936
0
11 Oct 2018
Dilated Temporal Fully-Convolutional Network for Semantic Segmentation
  of Motion Capture Data
Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data
N. Cheema
S. Hosseini
J. Sprenger
E. Herrmann
H. Du
K. Fischer
P. Slusallek
MedIm
22
9
0
24 Jun 2018
Combining Recurrent Neural Networks and Adversarial Training for Human
  Motion Synthesis and Control
Combining Recurrent Neural Networks and Adversarial Training for Human Motion Synthesis and Control
Zhiyong Wang
Jinxiang Chai
Shi-hong Xia
GAN
31
74
0
21 Jun 2018
QuaterNet: A Quaternion-based Recurrent Model for Human Motion
QuaterNet: A Quaternion-based Recurrent Model for Human Motion
Dario Pavllo
David Grangier
Michael Auli
3DH
58
261
0
16 May 2018
Long-Term Human Motion Prediction by Modeling Motion Context and
  Enhancing Motion Dynamic
Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic
Yongyi Tang
Lin Ma
Wen Liu
Weishi Zheng
90
147
0
07 May 2018
Convolutional Sequence to Sequence Model for Human Dynamics
Convolutional Sequence to Sequence Model for Human Dynamics
Chen Li
Zhen Zhang
Wee Sun Lee
Gim Hee Lee
3DH
50
324
0
02 May 2018
HP-GAN: Probabilistic 3D human motion prediction via GAN
HP-GAN: Probabilistic 3D human motion prediction via GAN
Emad Barsoum
J. Kender
Zicheng Liu
3DH
86
330
0
27 Nov 2017
Interactively Picking Real-World Objects with Unconstrained Spoken
  Language Instructions
Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions
Jun Hatori
Yuta Kikuchi
Sosuke Kobayashi
K. Takahashi
Yuta Tsuboi
Y. Unno
W. Ko
Jethro Tan
53
160
0
17 Oct 2017
Text2Action: Generative Adversarial Synthesis from Language to Action
Text2Action: Generative Adversarial Synthesis from Language to Action
Hyemin Ahn
Timothy Ha
Yunho Choi
Hwiyeon Yoo
Songhwai Oh
GAN
48
140
0
15 Oct 2017
Grounded Language Learning in a Simulated 3D World
Grounded Language Learning in a Simulated 3D World
Karl Moritz Hermann
Felix Hill
Simon Green
Fumin Wang
Ryan Faulkner
...
Denis Teplyashin
Marcus Wainwright
C. Apps
Demis Hassabis
Phil Blunsom
LM&Ro
42
306
0
20 Jun 2017
Multimodal Machine Learning: A Survey and Taxonomy
Multimodal Machine Learning: A Survey and Taxonomy
T. Baltrušaitis
Chaitanya Ahuja
Louis-Philippe Morency
74
2,890
0
26 May 2017
Learning a bidirectional mapping between human whole-body motion and
  natural language using deep recurrent neural networks
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks
Matthias Plappert
Christian Mandery
Tamim Asfour
3DH
104
131
0
18 May 2017
On human motion prediction using recurrent neural networks
On human motion prediction using recurrent neural networks
Julieta Martinez
Michael J. Black
Javier Romero
3DH
80
931
0
06 May 2017
The Pose Knows: Video Forecasting by Generating Pose Futures
The Pose Knows: Video Forecasting by Generating Pose Futures
Jacob Walker
Kenneth Marino
Abhinav Gupta
M. Hebert
68
351
0
28 Apr 2017
Learning to Generate Long-term Future via Hierarchical Prediction
Learning to Generate Long-term Future via Hierarchical Prediction
Ruben Villegas
Jimei Yang
Yuliang Zou
Sungryull Sohn
Xunyu Lin
Honglak Lee
54
380
0
19 Apr 2017
Forecasting Human Dynamics from Static Images
Forecasting Human Dynamics from Static Images
Yu-Wei Chao
Jimei Yang
Brian L. Price
Scott D. Cohen
Jia Deng
3DH
42
108
0
11 Apr 2017
Learning Human Motion Models for Long-term Predictions
Learning Human Motion Models for Long-term Predictions
Partha Ghosh
Mingli Song
Emre Aksan
Otmar Hilliges
3DH
59
239
0
10 Apr 2017
Temporal Convolutional Networks for Action Segmentation and Detection
Temporal Convolutional Networks for Action Segmentation and Detection
Colin S. Lea
Michael D. Flynn
René Vidal
A. Reiter
Gregory Hager
89
1,478
0
16 Nov 2016
The KIT Motion-Language Dataset
The KIT Motion-Language Dataset
Matthias Plappert
Christian Mandery
Tamim Asfour
228
284
0
13 Jul 2016
Aligning Books and Movies: Towards Story-like Visual Explanations by
  Watching Movies and Reading Books
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books
Yukun Zhu
Ryan Kiros
R. Zemel
Ruslan Salakhutdinov
R. Urtasun
Antonio Torralba
Sanja Fidler
114
2,529
0
22 Jun 2015
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to
  Action Sequences
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences
Hongyuan Mei
Joey Tianyi Zhou
Matthew R. Walter
LM&Ro
72
242
0
12 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.1K
149,474
0
22 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
195
6,760
0
03 Sep 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
315
33,445
0
16 Oct 2013
Zero-Shot Learning Through Cross-Modal Transfer
Zero-Shot Learning Through Cross-Modal Transfer
R. Socher
M. Ganjoo
Hamsa Sridhar
Osbert Bastani
Christopher D. Manning
A. Ng
BDL
VLM
114
1,467
0
16 Jan 2013
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