ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1706.02071
  4. Cited By
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data

DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data

7 June 2017
Swaminathan Gurumurthy
Ravi Kiran Sarvadevabhatla
R. Venkatesh Babu
    GAN
ArXivPDFHTML

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

41 / 41 papers shown
Title
Gaussian Mixture Flow Matching Models
Gaussian Mixture Flow Matching Models
Hansheng Chen
Kai Zhang
Hao Tan
Zexiang Xu
Fujun Luan
Leonidas J. Guibas
Gordon Wetzstein
Sai Bi
DiffM
63
0
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
Kaipeng Zhang
MGen
VGen
73
1
0
01 Apr 2025
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
AI4CE
EGVM
15
1
0
02 Nov 2023
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
Siddarth Asokan
C. Seelamantula
GAN
69
1
0
12 May 2023
HumanMAC: Masked Motion Completion for Human Motion Prediction
HumanMAC: Masked Motion Completion for Human Motion Prediction
Ling-Hao Chen
Jiawei Zhang
Ye-rong Li
Yiren Pang
Xiaobo Xia
Tongliang Liu
DiffM
VGen
44
57
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
47
21
0
18 Dec 2022
Textual Manifold-based Defense Against Natural Language Adversarial
  Examples
Textual Manifold-based Defense Against Natural Language Adversarial Examples
D. M. Nguyen
Anh Tuan Luu
AAML
27
17
0
05 Nov 2022
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion
  Prediction
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
Dong Wei
Huaijiang Sun
Bin Li
Jianfeng Lu
Weiqing Li
Xiaoning Sun
Sheng-liang Hu
DiffM
VGen
27
36
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 wild
Saeed Saadatnejad
Ali-Ahmad Rasekh
Mohammadreza Mofayezi
Yasamin Medghalchi
Sara Rajabzadeh
Taylor Mordan
Alexandre Alahi
DiffM
19
34
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 Models
Matthew Baas
Herman Kamper
DiffM
40
8
0
11 Oct 2022
A Realism Metric for Generated LiDAR Point Clouds
A Realism Metric for Generated LiDAR Point Clouds
Larissa T. Triess
Christoph B. Rist
David Peter
J. Marius Zöllner
3DPC
37
8
0
31 Aug 2022
A Deep Generative Model for Feasible and Diverse Population Synthesis
A Deep Generative Model for Feasible and Diverse Population Synthesis
Eui-Jin Kim
P. Bansal
25
15
0
01 Aug 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
VGen
3DH
35
13
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 Detection
Liang Chen
Yong Zhang
Yibing Song
Lingqiao Liu
Jue Wang
AAML
33
198
0
23 Mar 2022
Visualizing Global Explanations of Point Cloud DNNs
Visualizing Global Explanations of Point Cloud DNNs
Hanxiao Tan
3DPC
50
7
0
17 Mar 2022
Motron: Multimodal Probabilistic Human Motion Forecasting
Motron: Multimodal Probabilistic Human Motion Forecasting
Tim Salzmann
Marco Pavone
Markus Ryll
3DH
49
30
0
08 Mar 2022
Multi-level Latent Space Structuring for Generative Control
Multi-level Latent Space Structuring for Generative Control
Oren Katzir
Vicky Perepelook
Dani Lischinski
Daniel Cohen-Or
30
4
0
11 Feb 2022
Cluster-guided Image Synthesis with Unconditional Models
Cluster-guided Image Synthesis with Unconditional Models
Markos Georgopoulos
James Oldfield
Grigorios G. Chrysos
Yannis Panagakis
GAN
25
6
0
24 Dec 2021
GM Score: Incorporating inter-class and intra-class generator diversity,
  discriminability of disentangled representation, and sample fidelity for
  evaluating GANs
GM Score: Incorporating inter-class and intra-class generator diversity, discriminability of disentangled representation, and sample fidelity for evaluating GANs
GM Harshvardhan
Aanchal Sahu
Mahendra Kumar Gourisaria
23
0
0
13 Dec 2021
Quantifying point cloud realism through adversarially learned latent
  representations
Quantifying point cloud realism through adversarially learned latent representations
Larissa T. Triess
David Peter
Stefan A. Baur
J. Marius Zöllner
3DPC
34
2
0
24 Sep 2021
Generating Smooth Pose Sequences for Diverse Human Motion Prediction
Generating Smooth Pose Sequences for Diverse Human Motion Prediction
Wei Mao
Miaomiao Liu
Mathieu Salzmann
3DH
27
75
0
19 Aug 2021
Large Scale Image Completion via Co-Modulated Generative Adversarial
  Networks
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Shengyu Zhao
Jianwei Cui
Yilun Sheng
Yue Dong
Xiao Liang
E. Chang
Yan Xu
51
290
0
18 Mar 2021
Towards Neural Programming Interfaces
Towards Neural Programming Interfaces
Zachary Brown
Nathaniel R. Robinson
David Wingate
Nancy Fulda
AI4CE
20
5
0
10 Dec 2020
Spectral Distribution Aware Image Generation
Spectral Distribution Aware Image Generation
Steffen Jung
M. Keuper
OOD
34
34
0
05 Dec 2020
We are More than Our Joints: Predicting how 3D Bodies Move
We are More than Our Joints: Predicting how 3D Bodies Move
Yan Zhang
Michael J. Black
Siyu Tang
3DH
29
126
0
01 Dec 2020
EvolGAN: Evolutionary Generative Adversarial Networks
EvolGAN: Evolutionary Generative Adversarial Networks
Baptiste Roziere
F. Teytaud
Vlad Hosu
Hanhe Lin
Jérémy Rapin
M. Zameshina
O. Teytaud
GAN
31
14
0
28 Sep 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong
Ming-Yu Liu
Jiaji Huang
Kexin Zhao
Bryan Catanzaro
DiffM
BDL
34
1,396
0
21 Sep 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
78
1,859
0
11 Jun 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions,
  and Future Directions
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions
Divya Saxena
Jiannong Cao
AAML
AI4CE
26
287
0
30 Apr 2020
OpenGAN: Open Set Generative Adversarial Networks
OpenGAN: Open Set Generative Adversarial Networks
Luke Ditria
Benjamin J. Meyer
Tom Drummond
VLM
AI4CE
GAN
43
20
0
18 Mar 2020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Sangwoo Mo
Minsu Cho
Jinwoo Shin
30
212
0
25 Feb 2020
TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with
  Synthetic Information
TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information
Lijing Wang
Jiangzhuo Chen
Madhav Marathe
AI4TS
31
19
0
28 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
33
821
0
20 Jan 2020
Adversarial AutoAugment
Adversarial AutoAugment
Xinyu Zhang
Qiang-qiang Wang
Jian Zhang
Zhaobai Zhong
AAML
33
197
0
24 Dec 2019
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for
  Multi-Modal Data Distributions
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
Jogendra Nath Kundu
Maharshi Gor
Dakshit Agrawal
R. Venkatesh Babu
GAN
25
11
0
11 Aug 2019
Generative Adversarial Minority Oversampling
Generative Adversarial Minority Oversampling
S. S. Mullick
Shounak Datta
Swagatam Das
21
174
0
22 Mar 2019
GDPP: Learning Diverse Generations Using Determinantal Point Process
GDPP: Learning Diverse Generations Using Determinantal Point Process
Mohamed Elfeki
Camille Couprie
M. Rivière
Mohamed Elhoseiny
26
64
0
30 Nov 2018
A domain agnostic measure for monitoring and evaluating GANs
A domain agnostic measure for monitoring and evaluating GANs
Paulina Grnarova
Kfir Y. Levy
Aurelien Lucchi
Nathanael Perraudin
Ian Goodfellow
Thomas Hofmann
Andreas Krause
EGVM
24
8
0
13 Nov 2018
FrankenGAN: Guided Detail Synthesis for Building Mass-Models Using
  Style-Synchonized GANs
FrankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs
Tom Kelly
Paul Guerrero
A. Steed
Peter Wonka
Niloy J. Mitra
34
39
0
19 Jun 2018
VITAL: VIsual Tracking via Adversarial Learning
VITAL: VIsual Tracking via Adversarial Learning
Yibing Song
Chao Ma
Xiaohe Wu
Lijun Gong
Linchao Bao
W. Zuo
Chunhua Shen
Rynson W. H. Lau
Ming-Hsuan Yang
GAN
AAML
74
501
0
12 Apr 2018
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
57
2,975
0
19 Oct 2017
1