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The advancement of visual intelligence is intrinsically tethered to the availability of large-scale data.
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Improved techniques for training gans
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Data augmentation generative adversarial networks
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Wasserstein gan
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Image-to-image translation with conditional adversarial networks
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Unpaired image-to-image translation using cycle-consistent adversarial networkss
J.-Y. Zhu et al · 2017
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Tac-gan-text conditioned auxiliary classifier generative adversarial network
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Conditional image synthesis with auxiliary classifier GANs
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Arbitrary style transfer in real-time with adaptive instance normalization
X. Huang and S. Belongie · 2017
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Semi and weakly supervised semantic segmentation using generative adversarial network
N. Souly et al · 2017
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Least squares generative adversarial networks
X. Mao et al · 2017
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Generating multi-label discrete patient records using generative adversarial networks
E. Choi et al · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
M. Heusel et al · 2017
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Attention is all you need
A. Vaswani et al · 2017
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Verisimilar image synthesis for accurate detection and recognition of texts in scenes
F. Zhan et al · 2018
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Gan augmentation: Augmenting training data using generative adversarial networks
C. Bowles et al · 2018
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Glow: Generative flow with invertible 1x1 convolutions
D. P. Kingma and P. Dhariwal · 2018
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Synthetic data augmentation using gan for improved liver lesion classification
M. Frid-Adar et al · 2018
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Progressive growing of gans for improved quality, stability, and variation
T. Karras et al · 2018
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Gan-based synthetic medical image augmentation for increased cnn performance in liver lesion classification
M. Frid-Adar et al · 2018
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Few-shot 3d multi-modal medical image segmentation using generative adversarial learning
A. K. Mondal et al · 2018
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High-resolution image synthesis and semantic manipulation with conditional gans
T.-C. Wang et al · 2018
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Attngan: Fine-grained text to image generation with attentional generative adversarial networks
T. Xu et al · 2018
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Inferring semantic layout for hierarchical text-to-image synthesis
S. Hong et al · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
R. Zhang et al · 2018
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Fingerprint synthesis: Evaluating fingerprint search at scale
K. Cao and A. Jain · 2018
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Empirically analyzing the effect of dataset biases on deep face recognition systems
A. Kortylewski et al · 2018
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Learning from synthetic data for crowd counting in the wild
Q. Wang et al · 2019
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Large scale gan training for high fidelity natural image synthesis
A. Brock et al · 2019
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Generating high fidelity images with subscale pixel networks and multidimensional upscaling
J. Menick and N. Kalchbrenner · 2019
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Generative modeling by estimating gradients of the data distribution
Y. Song and S. Ermon · 2019
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Learning semantic segmentation from synthetic data: A geometrically guided input-output adaptation approach
Y. Chen et al · 2019
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Singan: Learning a generative model from a single natural image
T. R. Shaham et al · 2019
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A style-based generator architecture for generative adversarial networks
T. Karras et al · 2019
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This dataset does not exist: Training models from generated images
V. Besnier et al · 2019
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Skin lesion classification using gan based data augmentation
H. Rashid et al · 2019
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Self-ensembling with gan-based data augmentation for domain adaptation in semantic segmentation
J. Choi et al · 2019
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Pixel level data augmentation for semantic image segmentation using generative adversarial networks
S. Liu et al · 2019
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Semantic image synthesis with spatially-adaptive normalization
T. Park et al · 2019
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Exposing deep fakes using inconsistent head poses
X. Yang et al · 2019
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Fakespotter: A simple yet robust baseline for spotting ai-synthesized fake faces
W. Run et al · 2019
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Hype: A benchmark for human eye perceptual evaluation of generative models
S. Zhou et al · 2019
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Classification accuracy score for conditional generative models
S. Ravuri and O. Vinyals · 2019
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Privacy preserving gaze estimation using synthetic images via a randomized encoding based framework
E. Bozkir et al · 2019
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Analyzing and reducing the damage of dataset bias to face recognition with synthetic data
A. Kortylewski et al · 2019
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Y. Cabon et al · 2020
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Unrealtext: Synthesizing realistic scene text images from the unreal world
S. Long and C. Yao · 2020
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Denoising diffusion probabilistic models
J. Ho et al · 2020
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In-domain gan inversion for real image editing
J. Zhu et al · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
B. Mildenhall et al · 2020
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Interpreting the latent space of gans for semantic face editing
Y. Shen et al · 2020
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Generating high-fidelity synthetic patient data for assessing machine learning healthcare software
A. Tucker et al · 2020
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Quant gans: deep generation of financial time series
M. Wiese et al · 2020
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Time series simulation by conditional generative adversarial net
R. Fu et al · 2020
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Analyzing and improving the image quality of stylegan
T. Karras et al · 2020
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Training generative adversarial networks with limited data
T. Karras et al · 2020
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A simple framework for contrastive learning of visual representations
T. Chen et al · 2020
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Corgan: Correlation-capturing convolutional generative adversarial networks for generating synthetic healthcare records
A. Torfi and E. A. Fox · 2020
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On the detection of digital face manipulation
D. Hao et al · 2020
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Adversarial perturbations fool deepfake detectors
A. Gandhi and S. Jain · 2020
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Cnn-generated images are surprisingly easy to spot…for now
S.-Y. Wang et al · 2020
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Gan-based data augmentation and anonymization for skin-lesion analysis: A critical review
A. Bissoto et al · 2021
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Fake it till you make it: Guidelines for effective synthetic data generation
F. K. Dankar and M. Ibrahim · 2021
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The real deal about synthetic data
F. Lucini · 2021
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Multimodal image synthesis and editing: A survey
F. Zhan et al · 2021
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Diffusion models beat GANs on image synthesis
P. Dhariwal and A. Q. Nichol · 2021
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Datasetgan: Efficient labeled data factory with minimal human effort
Y. Zhang et al · 2021
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Re-aging gan: Toward personalized face age transformation
F. Makhmudkhujaev et al · 2021
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Inerf: Inverting neural radiance fields for pose estimation
L. Yen-Chen et al · 2021
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Variational (gradient) estimate of the score function in energy-based latent variable models
F. Bao et al · 2021
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Semantic object accuracy for generative text-to-image synthesis
T. Hinz et al · 2022
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Trustworthy ai: A computational perspective
H. Liu et al · 2022
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Fairness in biometrics: A figure of merit to assess biometric verification systems
T. de Freitas Pereira and S. Marcel · 2022
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Score-based generative modeling with critically-damped langevin diffusion
T. Dockhorn et al · 2022
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Styleswin: Transformer-based gan for high-resolution image generation
B. Zhang et al · 2022
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Datasetdm: Synthesizing data with perception annotations using diffusion models
W. Wu et al · 2023
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Score-based generative modeling through stochastic differential equations
Y. Song et al · 2021
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Ec-gan: Low-sample classification using semi-supervised algorithms and gans
A. Haque · 2021
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Repurposing gans for one-shot semantic part segmentation
N. Tritrong et al · 2021
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Semantic segmentation with generative models: Semi-supervised learning and strong out-of-domain generalization
D. Li et al · 2021
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Training rare object detection in satellite imagery with synthetic gan images
E. Martinson et al · 2021
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Synthetic data in machine learning for medicine and healthcare
R. J. Chen et al · 2021
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Stablerep: Synthetic images from text-to-image models make strong visual representation learners
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A data augmentation perspective on diffusion models and retrieval
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Machine learning for synthetic data generation: a review
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Gan inversion: A survey
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4d gaussian splatting for real-time dynamic scene rendering
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Generalizable pose estimation using implicit scene representations
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Effective data augmentation with diffusion models
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Diffusion models for zero-shot open-vocabulary segmentation
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Object detector differences when using synthetic and real training data
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Leveraging gans for data scarcity of covid-19: Beyond the hype
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Use of generative adversarial networks (gans) in educational technology research
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