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  4. Cited By
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data

DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data

Computer Vision and Pattern Recognition (CVPR), 2017
7 June 2017
Swaminathan Gurumurthy
Ravi Kiran Sarvadevabhatla
R. Venkatesh Babu
    GAN
ArXiv (abs)PDFHTML

Papers citing "DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data"

50 / 134 papers shown
SMamDiff: Spatial Mamba for Stochastic Human Motion Prediction
SMamDiff: Spatial Mamba for Stochastic Human Motion PredictionInternational Conference on Cloud Computing (CLOUD), 2025
Junqiao Fan
Pengfei Liu
Haocong Rao
79
0
0
29 Nov 2025
MMCM: Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction
MMCM: Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction
Kyotaro Tokoro
Hiromu Taketsugu
Norimichi Ukita
123
0
0
19 Nov 2025
HumanCM: One Step Human Motion Prediction
HumanCM: One Step Human Motion Prediction
Liu Haojie
Gao Suixiang
DiffM
328
0
0
19 Oct 2025
ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection
ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection
Haowei Zhu
Tianxiang Pan
Rui Qin
Jun-Hai Yong
Bin Wang
DiffM
239
3
0
17 Oct 2025
Uncertainty-aware Probabilistic 3D Human Motion Forecasting via Invertible Networks
Uncertainty-aware Probabilistic 3D Human Motion Forecasting via Invertible NetworksIEEE International Conference on Robotics and Automation (ICRA), 2025
Yue Ma
Kanglei Zhou
Fuyang Yu
Frederick W. B. Li
Xiaohui Liang
3DH
156
3
0
19 Jul 2025
CacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow
CacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow
Takahiro Maeda
Jinkun Cao
Norimichi Ukita
Kris Kitani
3DH
397
2
0
19 May 2025
Gaussian Mixture Flow Matching Models
Gaussian Mixture Flow Matching Models
Hansheng Chen
Kai Zhang
Hao Tan
Zexiang Xu
Fujun Luan
Leonidas Guibas
Gordon Wetzstein
Sai Bi
DiffM
525
12
0
07 Apr 2025
A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives
A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives
Shuyu Li
Shulei Ji
Zihao Wang
Songruoyao Wu
Jiaxing Yu
Jianchao Tan
MGenVGen
651
3
0
01 Apr 2025
A generalised novel loss function for computational fluid dynamics
A generalised novel loss function for computational fluid dynamics
Zachary Cooper-Baldock
Paulo E. Santos
Russell S. A. Brinkworth
Anne-Gwenn Bosser
AI4CE
258
3
0
26 Nov 2024
MotionWavelet: Human Motion Prediction via Wavelet Manifold Learning
MotionWavelet: Human Motion Prediction via Wavelet Manifold Learning
Yuming Feng
Bushi Liu
Lawrence Yunliang Chen
Yuan Liu
Tianyu Li
Jingbo Wang
Zeyu Cao
Wenping Wang
Taku Komura
Lingjie Liu
466
8
0
25 Nov 2024
Bayesian-Optimized One-Step Diffusion Model with Knowledge Distillation
  for Real-Time 3D Human Motion Prediction
Bayesian-Optimized One-Step Diffusion Model with Knowledge Distillation for Real-Time 3D Human Motion Prediction
Sibo Tian
Minghui Zheng
Xiao Liang
DiffM
220
2
0
19 Sep 2024
Learning Semantic Latent Directions for Accurate and Controllable Human
  Motion Prediction
Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction
Guowei Xu
Jiale Tao
Wen Li
Lixin Duan
203
11
0
16 Jul 2024
A Survey on Deep Clustering: From the Prior Perspective
A Survey on Deep Clustering: From the Prior Perspective
Yiding Lu
Haobin Li
Yunfan Li
Yijie Lin
Xi Peng
418
23
0
28 Jun 2024
Integration of Mixture of Experts and Multimodal Generative AI in
  Internet of Vehicles: A Survey
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
Minrui Xu
Dusit Niyato
Jiawen Kang
Zehui Xiong
Abbas Jamalipour
Yuguang Fang
Dong In Kim
Xuemin
X. Shen
212
18
0
25 Apr 2024
Distribution-Aware Data Expansion with Diffusion Models
Distribution-Aware Data Expansion with Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2024
Haowei Zhu
Ling Yang
Jun-Hai Yong
Hongzhi Yin
Jiawei Jiang
Meng Xiao
Wentao Zhang
Bin Wang
319
18
0
11 Mar 2024
Dendrogram distance: an evaluation metric for generative networks using
  hierarchical clustering
Dendrogram distance: an evaluation metric for generative networks using hierarchical clustering
Gustavo Sutter Carvalho
M. Ponti
163
0
0
28 Nov 2023
Efficient Dataset Distillation via Minimax Diffusion
Efficient Dataset Distillation via Minimax DiffusionComputer Vision and Pattern Recognition (CVPR), 2023
Jianyang Gu
Saeed Vahidian
Vyacheslav Kungurtsev
Haonan Wang
Wei Jiang
Yang You
Yiran Chen
DD
332
73
0
27 Nov 2023
The Song Describer Dataset: a Corpus of Audio Captions for
  Music-and-Language Evaluation
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation
Ilaria Manco
Benno Weck
Seungheon Doh
Minz Won
Yixiao Zhang
...
Philip Tovstogan
Emmanouil Benetos
Elio Quinton
Gyorgy Fazekas
Juhan Nam
379
65
0
16 Nov 2023
How to Do Machine Learning with Small Data? -- A Review from an
  Industrial Perspective
How to Do Machine Learning with Small Data? -- A Review from an Industrial Perspective
I. Kraljevski
Yong Chul Ju
Dmitrij Ivanov
Constanze Tschope
M. Wolff
AI4CE
263
10
0
13 Nov 2023
A Chronological Survey of Theoretical Advancements in Generative
  Adversarial Networks for Computer Vision
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision
Hrishikesh Sharma
AI4CEEGVM
248
1
0
02 Nov 2023
FluxGAN: A Physics-Aware Generative Adversarial Network Model for
  Generating Microstructures That Maintain Target Heat Flux
FluxGAN: A Physics-Aware Generative Adversarial Network Model for Generating Microstructures That Maintain Target Heat Flux
A. Pimachev
Manoj Settipalli
Sanghamitra Neogi
AI4CE
241
0
0
06 Oct 2023
Convergence and Recovery Guarantees of Unsupervised Neural Networks for
  Inverse Problems
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse ProblemsJournal of Mathematical Imaging and Vision (JMIV), 2023
Nathan Buskulic
M. Fadili
Yvain Quéau
496
8
0
21 Sep 2023
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed
  Diffusion
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed DiffusionIEEE International Conference on Computer Vision (ICCV), 2023
Sirui Xu
Zhengyu Li
Yu Wang
Liangyan Gui
DiffM
439
194
0
31 Aug 2023
Ten Years of Generative Adversarial Nets (GANs): A survey of the
  state-of-the-art
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art
Tanujit Chakraborty
Ujjwal Reddy K S
Shraddha M. Naik
Madhurima Panja
B. Manvitha
303
149
0
30 Aug 2023
TransFusion: A Practical and Effective Transformer-based Diffusion Model
  for 3D Human Motion Prediction
TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion PredictionIEEE Robotics and Automation Letters (RA-L), 2023
Sibo Tian
Minghui Zheng
Xiao Liang
DiffM
235
45
0
30 Jul 2023
Disentanglement in a GAN for Unconditional Speech Synthesis
Disentanglement in a GAN for Unconditional Speech SynthesisIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Matthew Baas
Herman Kamper
DiffM
261
9
0
04 Jul 2023
Understanding Deep Generative Models with Generalized Empirical
  Likelihoods
Understanding Deep Generative Models with Generalized Empirical LikelihoodsComputer Vision and Pattern Recognition (CVPR), 2023
Suman V. Ravuri
Mélanie Rey
S. Mohamed
M. Deisenroth
VLM
323
7
0
16 Jun 2023
Stochastic Multi-Person 3D Motion Forecasting
Stochastic Multi-Person 3D Motion ForecastingInternational Conference on Learning Representations (ICLR), 2023
Sirui Xu
Yu-Xiong Wang
Liangyan Gui
DiffM
277
31
0
08 Jun 2023
Towards Consistent Stochastic Human Motion Prediction via Motion
  Diffusion
Towards Consistent Stochastic Human Motion Prediction via Motion DiffusionEuropean Conference on Computer Vision (ECCV), 2023
Jiarui Sun
Girish Chowdhary
DiffM
275
22
0
21 May 2023
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN TrainingComputer Vision and Pattern Recognition (CVPR), 2023
Aadithya Srikanth
C. Seelamantula
GAN
486
5
0
12 May 2023
EEG2IMAGE: Image Reconstruction from EEG Brain Signals
EEG2IMAGE: Image Reconstruction from EEG Brain SignalsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Prajwal Singh
Pankaja Pandey
Krishna P. Miyapuram
Shanmuganathan Raman
300
60
0
20 Feb 2023
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal
  Anchors
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal AnchorsEuropean Conference on Computer Vision (ECCV), 2023
Sirui Xu
Yu-Xiong Wang
Liangyan Gui
275
62
0
09 Feb 2023
HumanMAC: Masked Motion Completion for Human Motion Prediction
HumanMAC: Masked Motion Completion for Human Motion PredictionIEEE International Conference on Computer Vision (ICCV), 2023
Ling-Hao Chen
Jiawei Zhang
Ye-rong Li
Yiren Pang
Xiaobo Xia
Tongliang Liu
DiffMVGen
418
105
0
07 Feb 2023
SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input
  Images
SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images
Abdullah Hamdi
Guohao Li
Matthias Nießner
345
24
0
18 Dec 2022
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion PredictionIEEE International Conference on Computer Vision (ICCV), 2022
German Barquero
Sergio Escalera
Cristina Palmero
VGenDiffM
345
107
0
25 Nov 2022
Textual Manifold-based Defense Against Natural Language Adversarial
  Examples
Textual Manifold-based Defense Against Natural Language Adversarial ExamplesConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
D. M. Nguyen
Anh Tuan Luu
AAML
333
28
0
05 Nov 2022
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion
  Prediction
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion PredictionAAAI Conference on Artificial Intelligence (AAAI), 2022
Dong Wei
Huaijiang Sun
Bin Li
Jianfeng Lu
Weiqing Li
Xiaoning Sun
Sheng-liang Hu
DiffMVGen
279
66
0
12 Oct 2022
A generic diffusion-based approach for 3D human pose prediction in the
  wild
A generic diffusion-based approach for 3D human pose prediction in the wildIEEE International Conference on Robotics and Automation (ICRA), 2022
Saeed Saadatnejad
Ali-Ahmad Rasekh
Mohammadreza Mofayezi
Yasamin Medghalchi
Sara Rajabzadeh
Taylor Mordan
Alexandre Alahi
DiffM
329
46
0
11 Oct 2022
GAN You Hear Me? Reclaiming Unconditional Speech Synthesis from
  Diffusion Models
GAN You Hear Me? Reclaiming Unconditional Speech Synthesis from Diffusion ModelsSpoken Language Technology Workshop (SLT), 2022
Matthew Baas
Herman Kamper
DiffM
206
10
0
11 Oct 2022
A Realism Metric for Generated LiDAR Point Clouds
A Realism Metric for Generated LiDAR Point CloudsInternational Journal of Computer Vision (IJCV), 2022
Larissa T. Triess
Christoph B. Rist
David Peter
J. Marius Zöllner
3DPC
224
13
0
31 Aug 2022
A Deep Generative Model for Feasible and Diverse Population Synthesis
A Deep Generative Model for Feasible and Diverse Population SynthesisTransportation Research Part C: Emerging Technologies (TRC), 2022
Eui-Jin Kim
P. Bansal
308
40
0
01 Aug 2022
Unveiling the Latent Space Geometry of Push-Forward Generative Models
Unveiling the Latent Space Geometry of Push-Forward Generative ModelsInternational Conference on Machine Learning (ICML), 2022
Thibaut Issenhuth
Ugo Tanielian
Jérémie Mary
David Picard
GANDRL
400
4
0
21 Jul 2022
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an
  Auxiliary Space
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary SpaceACM Multimedia (ACM MM), 2022
Lingwei Dang
Yongwei Nie
Chengjiang Long
Qing Zhang
Guiqing Li
3DH
271
59
0
15 Jul 2022
Can Push-forward Generative Models Fit Multimodal Distributions?
Can Push-forward Generative Models Fit Multimodal Distributions?Neural Information Processing Systems (NeurIPS), 2022
Antoine Salmona
Valentin De Bortoli
J. Delon
A. Desolneux
DiffM
395
48
0
29 Jun 2022
Data Augmentation techniques in time series domain: A survey and
  taxonomy
Data Augmentation techniques in time series domain: A survey and taxonomy
Guillermo Iglesias
Edgar Talavera
Ángel González-Prieto
Alberto Mozo
S. Gómez-Canaval
AI4TS
480
283
0
25 Jun 2022
Adversarial Audio Synthesis with Complex-valued Polynomial Networks
Adversarial Audio Synthesis with Complex-valued Polynomial Networks
Yongtao Wu
Grigorios G. Chrysos
Volkan Cevher
DiffM
429
4
0
14 Jun 2022
HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical
  VAE
HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE
Xiaoyu Bie
Wen Guo
Simon Leglaive
Laurent Girin
Francesc Moreno-Noguer
Xavier Alameda-Pineda
VGen3DH
275
19
0
04 Apr 2022
Self-supervised Learning of Adversarial Example: Towards Good
  Generalizations for Deepfake Detection
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake DetectionComputer Vision and Pattern Recognition (CVPR), 2022
Liang Chen
Yong Zhang
Yibing Song
Lingqiao Liu
Jue Wang
AAML
383
266
0
23 Mar 2022
A survey on GANs for computer vision: Recent research, analysis and
  taxonomy
A survey on GANs for computer vision: Recent research, analysis and taxonomyComputer Science Review (CSR), 2022
Guillermo Iglesias
Edgar Talavera
Alberto Díaz-Álvarez
EGVMAI4TS
435
97
0
21 Mar 2022
Visualizing Global Explanations of Point Cloud DNNs
Visualizing Global Explanations of Point Cloud DNNsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Hanxiao Tan
3DPC
285
12
0
17 Mar 2022
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