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Generative adversarial networks (GANs) have drawn enormous attention due to the simple yet effective training mechanism and superior image generation quality.
Real-esrgan: Training real-world blind super-resolution with pure synthetic data
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Image denoising via sparse and redundant representations over learned dictionaries
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Automated flower classification over a large number of classes
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Labeled faces in the wild: A database forstudying face recognition in unconstrained environments
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Imagenet: A large-scale hierarchical image database
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Learning multiple layers of features from tiny images
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Presentation and validation of the radboud faces database
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Reading digits in natural images with unsupervised feature learning
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Wasserstein barycenter and its application to texture mixing
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The caltech-ucsd birds-200-2011 dataset
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Cats and dogs
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3d object representations for fine-grained categorization
Krause J, Stark M, Deng J, et al · 2013
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Auto-encoding variational bayes
Kingma D P, Welling M · 2013
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Generative adversarial nets
Goodfellow I, Pouget-Abadie J, Mirza M, et al · 2014
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Cross-age reference coding for age-invariant face recognition and retrieval
Chen B C, Chen C S, Hsu W H · 2014
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Microsoft coco: Common objects in context
Lin T Y, Maire M, Belongie S, et al · 2014
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Learning deep features for scene recognition using places database
Zhou B, Lapedriza A, Xiao J, et al · 2014
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Streetscore-predicting the perceived safety of one million streetscapes
Naik N, Philipoom J, Raskar R, et al · 2014
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Transient attributes for high-level understanding and editing of outdoor scenes
Laffont P Y, Ren Z, Tao X, et al · 2014
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Fine-grained visual comparisons with local learning
Yu A, Grauman K · 2014
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Conditional generative adversarial nets
Mirza M, Osindero S · 2014
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Adam: A method for stochastic optimization
Kingma D P, Ba J · 2014
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Deep generative image models using a laplacian pyramid of adversarial networks
Denton E L, Chintala S, Fergus R, et al · 2015
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Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
Yu F, Seff A, Zhang Y, et al · 2015
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Deep learning face attributes in the wild
Liu Z, Luo P, Wang X, et al · 2015
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Deep learning
LeCun Y, Bengio Y, Hinton G · 2015
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Human-level concept learning through probabilistic program induction
Lake B M, Salakhutdinov R, Tenenbaum J B · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
Radford A, Metz L, Chintala S · 2016
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Fashion landmark detection in the wild
Liu Z, Yan S, Luo P, et al · 2016
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The cityscapes dataset for semantic urban scene understanding
Cordts M, Omran M, Ramos S, et al · 2016
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Improved techniques for training gans
Salimans T, Goodfellow I, Zaremba W, et al · 2016
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Rethinking the inception architecture for computer vision
Szegedy C, Vanhoucke V, Ioffe S, et al · 2016
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Adversarially learned inference
Dumoulin V, Belghazi I, Poole B, et al · 2016
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Generative visual manipulation on the natural image manifold
Zhu J Y, Krähenbühl P, Shechtman E, et al · 2016
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Invertible conditional gans for image editing
Perarnau G, Van De Weijer J, Raducanu B, et al · 2016
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Infogan: Interpretable representation learning by information maximizing generative adversarial nets
Chen X, Duan Y, Houthooft R, et al · 2016
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Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
Zhang H, Xu T, Li H, et al · 2017
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Least squares generative adversarial networks
Mao X, Li Q, Xie H, et al · 2017
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Began: Boundary equilibrium generative adversarial networks
Berthelot D, Schumm T, Metz L · 2017
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Wasserstein generative adversarial networks
Arjovsky M, Chintala S, Bottou L · 2017
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Improved training of wasserstein gans
Gulrajani I, Ahmed F, Arjovsky M, et al · 2017
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Image-to-image translation with conditional adversarial networks
Isola P, Zhu J Y, Zhou T, et al · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu J Y, Park T, Isola P, et al · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
Ledig C, Theis L, Huszár F, et al · 2017
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Places: A 10 million image database for scene recognition
Zhou B, Lapedriza A, Khosla A, et al · 2017
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Openimages: A public dataset for large-scale multi-label and multi-class image classification
Krasin I, Duerig T, Alldrin N, et al · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Heusel M, Ramsauer H, Unterthiner T, et al · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
Huang X, Belongie S · 2017
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Network dissection: Quantifying interpretability of deep visual representations
Bau D, Zhou B, Khosla A, et al · 2017
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Adversarial feature learning
Donahue J, Krähenbühl P, Darrell T · 2017
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Precise recovery of latent vectors from generative adversarial networks
Lipton Z C, Tripathi S · 2017
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Scene parsing through ade20k dataset
Zhou B, Zhao H, Puig X, et al · 2017
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Selvaraju R R, Cogswell M, Das A, et al · 2017
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Spectral normalization for generative adversarial networks
Miyato T, Kataoka T, Koyama M, et al · 2018
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Progressive growing of gans for improved quality, stability, and variation
Karras T, Aila T, Laine S, et al · 2018
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Large scale gan training for high fidelity natural image synthesis
Brock A, Donahue J, Simonyan K · 2018
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Stargan: Unified generative adversarial networks for multi-domain image-to-image translation
Choi Y, Choi M, Kim M, et al · 2018
Cited alongside, same era.
Esrgan: Enhanced super-resolution generative adversarial networks
Wang X, Yu K, Wu S, et al · 2018
Cited alongside, same era.
Deblurgan: Blind motion deblurring using conditional adversarial networks
Kupyn O, Budzan V, Mykhailych M, et al · 2018
Cited alongside, same era.
Spatially controllable image synthesis with internal representation collaging
Suzuki R, Koyama M, Miyato T, et al · 2018
Cited alongside, same era.
How good is my gan?
Shmelkov K, Schmid C, Alahari K · 2018
Cited alongside, same era.
Geometry score: A method for comparing generative adversarial networks
Khrulkov V, Oseledets I · 2018
Collaborative learning for faster stylegan embedding
Guan S, Tai Y, Ni B, et al · 2020
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Pie: Portrait image embedding for semantic control
Tewari A, Elgharib M, Bernard F, et al · 2020
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One model to reconstruct them all: A novel way to use the stochastic noise in stylegan
Bartz C, Bethge J, Yang H, et al · 2020
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Style intervention: How to achieve spatial disentanglement with style-based generators?
Liu Y, Li Q, Sun Z, et al · 2020
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Improved stylegan embedding: Where are the good latents?
Zhu P, Abdal R, Qin Y, et al · 2020
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Cited alongside, same era.
Which training methods for gans do actually converge?
Mescheder L, Geiger A, Nowozin S · 2018
Cited alongside, same era.
Solving linear inverse problems using gan priors: An algorithm with provable guarantees
Shah V, Hegde C · 2018
Cited alongside, same era.
Invertibility of convolutional generative networks from partial measurements
Ma F, Ayaz U, Karaman S · 2018
Cited alongside, same era.
The ryerson audio-visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expressions in north american english
Livingstone S R, Russo F A · 2018
Cited alongside, same era.
Glow: generative flow with invertible 1 × \times 1 convolutions
Kingma D P, Dhariwal P · 2018
Cited alongside, same era.
A spectral regularizer for unsupervised disentanglement
Ramesh A, Choi Y, LeCun Y · 2018
Cited alongside, same era.
Hierarchical style-based networks for motion synthesis
Xu J, Xu H, Ni B, et al · 2020
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Curricularface: adaptive curriculum learning loss for deep face recognition
Huang Y, Wang Y, Tai Y, et al · 2020
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Momentum contrast for unsupervised visual representation learning
He K, Fan H, Wu Y, et al · 2020
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Denoising diffusion probabilistic models
Ho J, Jain A, Abbeel P · 2020
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The hessian penalty: A weak prior for unsupervised disentanglement
Peebles W, Peebles J, Zhu J Y, et al · 2020
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Learning disentangled representations with latent variation predictability
Zhu X, Xu C, Tao D · 2020
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On the” steerability” of generative adversarial networks
Jahanian A, Chai L, Isola P · 2020
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Do 2d gans know 3d shape? unsupervised 3d shape reconstruction from 2d image gans
Pan X, Dai B, Liu Z, et al · 2020
Later among the works it cites.
Alias-free generative adversarial networks
Karras T, Aittala M, Laine S, et al · 2021
Later among the works it cites.
Designing a practical degradation model for deep blind image super-resolution
Zhang K, Liang J, Van Gool L, et al · 2021
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Styleflow: Attribute-conditioned exploration of stylegan-generated images using conditional continuous normalizing flows
Abdal R, Zhu P, Mitra N J, et al · 2021
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Encoding in style: a stylegan encoder for image-to-image translation
Richardson E, Alaluf Y, Patashnik O, et al · 2021
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Glean: Generative latent bank for large-factor image super-resolution
Chan K C, Wang X, Xu X, et al · 2021
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Towards real-world blind face restoration with generative facial prior
Wang X, Li Y, Zhang H, et al · 2021
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Gan prior embedded network for blind face restoration in the wild
Yang T, Ren P, Xie X, et al · 2021
Later among the works it cites.
Generative adversarial networks in computer vision: A survey and taxonomy
Wang Z, She Q, Ward T E · 2021
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Automatic correction of internal units in generative neural networks
Tousi A, Jeong H, Han J, et al · 2021
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Exploiting deep generative prior for versatile image restoration and manipulation
Pan X, Zhan X, Dai B, et al · 2021
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Closed-form factorization of latent semantics in gans
Shen Y, Zhou B · 2021
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Generative hierarchical features from synthesizing images
Xu Y, Shen Y, Zhu J, et al · 2021
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Stylespace analysis: Disentangled controls for stylegan image generation
Wu Z, Lischinski D, Shechtman E · 2021
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Hijack-gan: Unintended-use of pretrained, black-box gans
Wang H P, Yu N, Fritz M · 2021
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Navigating the gan parameter space for semantic image editing
Cherepkov A, Voynov A, Babenko A · 2021
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Enjoy your editing: Controllable gans for image editing via latent space navigation
Zhuang P, Koyejo O O, Schwing A · 2021
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Only a matter of style: Age transformation using a style-based regression model
Alaluf Y, Patashnik O, Cohen-Or D · 2021
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Designing an encoder for stylegan image manipulation
Tov O, Alaluf Y, Nitzan Y, et al · 2021
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Using latent space regression to analyze and leverage compositionality in gans
Chai L, Wulff J, Isola P · 2021
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Ensembling with deep generative views
Chai L, Zhu J Y, Shechtman E, et al · 2021
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Restyle: A residual-based stylegan encoder via iterative refinement
Alaluf Y, Patashnik O, Cohen-Or D · 2021
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From continuity to editability: Inverting gans with consecutive images
Xu Y, Du Y, Xiao W, et al · 2021
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Gan inversion for out-of-range images with geometric transformations
Kang K, Kim S, Cho S · 2021
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Toward a visual concept vocabulary for gan latent space
Schwettmann S, Hernandez E, Bau D, et al · 2021
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Danbooru2021: A large-scale crowdsourced and tagged anime illustration dataset
Anonymous, community D, Branwen G · 2021
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Sals-gan: Spatially-adaptive latent space in stylegan for real image embedding
Zhang L, Bai X, Gao Y · 2021
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Where and what? examining interpretable disentangled representations
Zhu X, Xu C, Tao D · 2021
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Orthogonal jacobian regularization for unsupervised disentanglement in image generation
Wei Y, Shi Y, Liu X, et al · 2021
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Eigengan: Layer-wise eigen-learning for gans
He Z, Kan M, Shan S · 2021
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A geometric analysis of deep generative image models and its applications
Wang B, Ponce C R · 2021
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Warpedganspace: Finding non-linear rbf paths in gan latent space
Tzelepis C, Tzimiropoulos G, Patras I · 2021
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Unsupervised 3d shape completion through gan inversion
Zhang J, Chen X, Cai Z, et al · 2021
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Few-shot image generation via cross-domain correspondence
Ojha U, Li Y, Lu J, et al · 2021
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Studiogan: A taxonomy and benchmark of gans for image synthesis
Kang M, Shin J, Park J · 2022
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E2style: Improve the efficiency and effectiveness of stylegan inversion
Wei T, Chen D, Zhou W, et al · 2022
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High-fidelity gan inversion for image attribute editing
Wang T, Zhang Y, Fan Y, et al · 2022
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Hyperstyle: Stylegan inversion with hypernetworks for real image editing
Alaluf Y, Tov O, Mokady R, et al · 2022
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Gan-supervised dense visual alignment
Peebles W, Zhu J Y, Zhang R, et al · 2022
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Hyperinverter: Improving stylegan inversion via hypernetwork
Dinh T M, Tran A T, Nguyen R, et al · 2022
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Insetgan for full-body image generation
Frühstück A, Singh K K, Shechtman E, et al · 2022
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Hairmapper: Removing hair from portraits using gans
Wu Y, Yang Y L, Jin X · 2022
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Spatially-adaptive multilayer selection for gan inversion and editing
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Feng Q, Shah V, Gadde R, et al · 2022
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Hierarchical text-conditional image generation with clip latents
Ramesh A, Dhariwal P, Nichol A, et al · 2022
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Photorealistic text-to-image diffusion models with deep language understanding
Saharia C, Chan W, Saxena S, et al · 2022
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Accelerating diffusion models via early stop of the diffusion process
Lyu Z, Xu X, Yang C, et al · 2022
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Styleclip: Text-driven manipulation of stylegan imagery
Patashnik O, Wu Z, Shechtman E, et al · 2094
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