v1v2 (latest)

Training Generative Adversarial Networks with Limited Data

Neural Information Processing Systems (NeurIPS), 2025

11 June 2020

Papers citing "Training Generative Adversarial Networks with Limited Data"

50 / 1,088 papers shown

Title
Synthetic Periocular Iris PAI from a Small Set of Near-Infrared-Images J. Maureira Juan Tapia Claudia Arellano Christoph Busch CVBM 58 2 0 26 Jul 2021
LARGE: Latent-Based Regression through GAN Semantics Yotam Nitzan Rinon Gal Ofir Brenner Daniel Cohen-Or GAN 81 27 0 22 Jul 2021
3D fluorescence microscopy data synthesis for segmentation and benchmarking Dennis Eschweiler Malte Rethwisch Mareike Jarchow Simon Koppers Johannes Stegmaier 3DV MedIm 91 17 0 21 Jul 2021
Conditional GANs with Auxiliary Discriminative Classifier Liang Hou Qi Cao Huawei Shen Siyuan Pan Xiaoshuang Li Xueqi Cheng GAN 162 40 0 21 Jul 2021
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images Sun-Beom Hong Razvan Marinescu Adrian Dalca A. Bonkhoff Martin Bretzner N. Rost Polina Golland MedIm 65 59 0 20 Jul 2021
StyleFusion: A Generative Model for Disentangling Spatial Segments Omer Kafri Or Patashnik Yuval Alaluf Daniel Cohen-Or 123 37 0 15 Jul 2021
Level generation and style enhancement -- deep learning for game development overview P. Migdal Bartlomiej Olechno Bla.zej Podgórski GAN VLM 62 4 0 15 Jul 2021
Leveraging Domain Adaptation for Low-Resource Geospatial Machine Learning Jack Lynch S. Wookey 73 1 0 11 Jul 2021
ViTGAN: Training GANs with Vision Transformers Kwonjoon Lee Huiwen Chang Lu Jiang Han Zhang Zhuowen Tu Ce Liu ViT 170 199 0 09 Jul 2021
StyleCariGAN: Caricature Generation via StyleGAN Feature Map Modulation Won-Dong Jang Gwangjin Ju Yucheol Jung Jiaolong Yang Xin Tong Seungyong Lee GAN 100 23 0 09 Jul 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 416 1,155 0 07 Jul 2021
Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities Sebastian Berns Terence Broad Christian Guckelsberger S. Colton AI4CE 71 8 0 05 Jul 2021
Are conditional GANs explicitly conditional? Houssem-eddine Boulahbal A. Voicila Andrew I. Comport GAN 177 1 0 28 Jun 2021
Data augmentation for deep learning based accelerated MRI reconstruction with limited data Zalan Fabian Reinhard Heckel Mahdi Soltanolkotabi OOD MedIm 96 55 0 28 Jun 2021
Alias-Free Generative Adversarial Networks Tero Karras M. Aittala S. Laine Erik Härkönen Janne Hellsten J. Lehtinen Timo Aila GAN 602 1,707 0 23 Jun 2021
Fairness for Image Generation with Uncertain Sensitive Attributes A. Jalal Sushrut Karmalkar Jessica Hoffmann A. Dimakis Eric Price DiffM 122 42 0 23 Jun 2021
Making Invisible Visible: Data-Driven Seismic Inversion with Spatio-temporally Constrained Data Augmentation Yuxin Yang Xitong Zhang Qiang Guan Youzuo Lin 134 15 0 22 Jun 2021
Fine-Tuning StyleGAN2 For Cartoon Face Generation Jihye Back CVBM 74 28 0 22 Jun 2021
Particle Cloud Generation with Message Passing Generative Adversarial Networks Raghav Kansal Javier Mauricio Duarte Haoran Su B. Orzari T. Tomei M. Pierini M. Touranakou J. Vlimant Dimitrios Gunopulos 151 81 0 22 Jun 2021
JOKR: Joint Keypoint Representation for Unsupervised Cross-Domain Motion Retargeting Ron Mokady Rotem Tzaban Sagie Benaim Amit H. Bermano Daniel Cohen-Or VGen 101 3 0 17 Jun 2021
Self-Supervised GANs with Label Augmentation Liang Hou Huawei Shen Qi Cao Xueqi Cheng 183 19 0 16 Jun 2021
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy Christoph Reich Tim Prangemeier C. Wildner Heinz Koeppl AI4CE 103 9 0 15 Jun 2021
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals Lang Liu Krishna Pillutla Sean Welleck Sewoong Oh Yejin Choi Zaïd Harchaoui MQ 150 18 0 15 Jun 2021
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images Vishal Asnani Xi Yin Tal Hassner Xiaoming Liu 154 75 0 15 Jun 2021
Improved Transformer for High-Resolution GANs Long Zhao Zizhao Zhang Ting Chen Dimitris N. Metaxas Han Zhang ViT 209 103 0 14 Jun 2021
Styleformer: Transformer based Generative Adversarial Networks with Style Vector Jeeseung Park Younggeun Kim ViT 204 53 0 13 Jun 2021
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs Jaewoong Choi Junho Lee Changyeon Yoon J. Park Geonho Hwang Myung-joo Kang 153 28 0 13 Jun 2021
Adversarial Motion Modelling helps Semi-supervised Hand Pose Estimation Adrian Spurr Pavlo Molchanov Umar Iqbal Jan Kautz Otmar Hilliges 75 8 0 10 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 249 740 0 10 Jun 2021
Pivotal Tuning for Latent-based Editing of Real Images Daniel Roich Ron Mokady Amit H. Bermano Daniel Cohen-Or DiffM 203 561 0 10 Jun 2021
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation Dongjun Kim Seung-Jae Shin Kyungwoo Song Wanmo Kang Il-Chul Moon 245 106 0 10 Jun 2021
Generative Feature-driven Image Replay for Continual Learning Kevin Thandiackal Tiziano Portenier Andrea Giovannini M. Gabrani O. Goksel CLL VLM DiffM 99 10 0 09 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 143 23 0 09 Jun 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows Brendan Leigh Ross Jesse C. Cresswell TPM 117 35 0 09 Jun 2021
Data-Efficient Instance Generation from Instance Discrimination Ceyuan Yang Yujun Shen Yinghao Xu Bolei Zhou 140 87 0 08 Jun 2021
Low-Rank Subspaces in GANs Jiapeng Zhu Ruili Feng Yujun Shen Deli Zhao Zhengjun Zha Jingren Zhou Qifeng Chen GAN 96 74 0 08 Jun 2021
GAN Cocktail: mixing GANs without dataset access Omri Avrahami Dani Lischinski Ohad Fried DiffM MoMe 87 11 0 07 Jun 2021
Vanishing Curvature and the Power of Adaptive Methods in Randomly Initialized Deep Networks Antonio Orvieto Jonas Köhler Dario Pavllo Thomas Hofmann Aurelien Lucchi ODL 88 6 0 07 Jun 2021
F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain Shin'ya Yamaguchi Sekitoshi Kanai 105 4 0 04 Jun 2021
Barcode Method for Generative Model Evaluation driven by Topological Data Analysis Ryoungwoo Jang Minjee Kim Da-in Eun Kyungjin Cho Jiyeon Seo Namkug Kim EGVM 32 0 0 04 Jun 2021
Barbershop: GAN-based Image Compositing using Segmentation Masks Peihao Zhu Rameen Abdal John C. Femiani Peter Wonka 114 32 0 02 Jun 2021
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse Yang Li Liangliang Shi Junchi Yan GAN 125 8 0 01 Jun 2021
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes N. S. D'Souza M. B. Nebel D. Crocetti N. Wymbs Joshua Robinson S. Mostofsky A. Venkataraman 73 7 0 30 May 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 185 702 0 27 May 2021
Learning to Generate Novel Scene Compositions from Single Images and Videos V. Sushko Juergen Gall Anna Khoreva VLM GAN 43 5 0 12 May 2021
Enhancing Photorealism Enhancement Stephan R. Richter Hassan Abu Alhaija V. Koltun 124 117 0 10 May 2021
Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels Jiuxiang Gu Changyou Chen Jinhui Xu 89 2 0 10 May 2021
Generative Adversarial Registration for Improved Conditional Deformable Templates Neel Dey Mengwei Ren Adrian Dalca Guido Gerig GAN MedIm 115 37 0 07 May 2021
Synthetic Data for Model Selection Alon Shoshan Nadav Bhonker Igor Kviatkovsky Matan Fintz Gérard Medioni 110 6 0 03 May 2021
Generative Adversarial Networks via a Composite Annealing of Noise and Diffusion Kensuke Nakamura Simon Korman Byung-Woo Hong DiffM 106 2 0 01 May 2021