Keyword

conditional generative adversarial networks

Description: Generative adversarial networks that use conditioning information, such as labels or input data, to guide the generation of synthetic samples.

Primary topic: Generative Adversarial Networks and Image Synthesis (21%)

Related topic: Generative Adversarial Networks and Image Synthesis (21%)

OpenAlex ID: keywords/conditional-gan

Image-to-Image Translation with Conditional Adversarial Networks

2017 · Phillip Isola, Jun-Yan Zhu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 22,893

Conditional Generative Adversarial Nets

2014 · Mirza, Mehdi, Osindero, Simon · arXiv (Cornell University) · 8,870

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

2018 · Ting-Chun Wang, Ming-Yu Liu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 4,514

StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks

2017 · Han Zhang, Tao Xu, et al. · IEEE International Conference on Computer Vision (ICCV) · 3,021

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

2017 · Zili Yi, Hao Zhang, et al. · IEEE International Conference on Computer Vision (ICCV) · 2,229

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

2018 · Orest Kupyn, Volodymyr Budzan, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,786

Fast Underwater Image Enhancement for Improved Visual Perception

2020 · Md Jahidul Islam, Youya Xia, et al. · IEEE Robotics and Automation Letters · 1,695

DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion

2020 · Jiayi Ma, Han Xu, et al. · IEEE Transactions on Image Processing · 1,348

Image De-Raining Using a Conditional Generative Adversarial Network

2019 · He Zhang, Vishwanath Sindagi, et al. · IEEE Transactions on Circuits and Systems for Video Technology · 1,218

DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction

2017 · Guang Yang, Simiao Yu, et al. · IEEE Transactions on Medical Imaging · 1,086

Modeling Tabular data using Conditional GAN

2019 · Xu, Lei, Skoularidou, Maria, et al. · arXiv (Cornell University) · 982

Tomato plant disease detection using transfer learning with C-GAN synthetic images

2021 · Amreen Abbas, Sweta Jain, et al. · Computers and Electronics in Agriculture · 654

GANimation: Anatomically-Aware Facial Animation from a Single Image

2018 · Albert Pumarola, Antonio Agudo, et al. · Lecture notes in computer science · 620

Image Synthesis in Multi-Contrast MRI With Conditional Generative Adversarial Networks

2019 · Salman UH. Dar, Mahmut Yurt, et al. · IEEE Transactions on Medical Imaging · 610

GANomaly: Semi-supervised Anomaly Detection via Adversarial Training

2019 · Samet Akcay, Amir Atapour-Abarghouei, et al. · Lecture notes in computer science · 609

Effective data generation for imbalanced learning using conditional generative adversarial networks

2017 · Georgios Douzas, Fernando Bacao · Expert Systems with Applications · 601

Change Detection in Remote Sensing Images Using Conditional Adversarial Networks

2018 · M. A. Lebedev, Y. V. Vizilter, et al. · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 571

Invertible Conditional GANs for image editing

2016 · Perarnau, Guim, van de Weijer, Joost, et al. · arXiv (Cornell University) · 564

Face aging with conditional generative adversarial networks

2017 · Grigory Antipov, Moez Baccouche, et al. · Proceedings - International Conference on Image Processing · 556

Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images

2019 · Huan Wang, Luping Zhou, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 513

Towards Diverse and Natural Image Descriptions via a Conditional GAN

2017 · Bo Dai, Sanja Fidler, et al. · IEEE International Conference on Computer Vision (ICCV) · 483

cGANs with Projection Discriminator

2018 · Miyato, Takeru, Koyama, Masanori · arXiv (Cornell University) · 465

Facial Expression Recognition by De-expression Residue Learning

2018 · Huiyuan Yang, Umur Ciftci, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 459

Single Image Dehazing via Conditional Generative Adversarial Network

2018 · Runde Li, Jinshan Pan, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 448

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

2019 · Qi Mao, Hsin-Ying Lee, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 443

Works count: 8,315

Citation count: 152,400