CelebA

CelebA is a dataset containing over 200,000 celebrity images annotated with 40 attribute labels, used to evaluate the alignment of generative noise and encoder representations in capturing meaningful semantic attributes.

Papers using CelebA (50)

IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks2025CKGAN: Training Generative Adversarial Networks Using Characteristic Kernel Integral Probability Metrics2025Binary Diffusion Probabilistic Model2025Disentanglement as Identifiable Pushforward Factorisation2024LatentGAN Autoencoder: Learning Disentangled Latent Distribution2022MMD GAN: Towards Deeper Understanding of Moment Matching Network2017 · 255 citesBoundary-Seeking Generative Adversarial Networks2017 · 112 citesKnowledge Distillation in Iterative Generative Models for Improved Sampling Speed2021 · 62 citesCompressing GANs using Knowledge Distillation2019 · 61 citesConsistency Regularization for Generative Adversarial Networks2019 · 47 citesAccelerating Diffusion Models via Early Stop of the Diffusion Process2022 · 37 citesBanach Wasserstein GAN2018 · 33 citesCoulomb GANs: Provably Optimal Nash Equilibria via Potential Fields2017 · 29 citesHigh-resolution Deep Convolutional Generative Adversarial Networks2017 · 25 citesMixed batches and symmetric discriminators for GAN training2018 · 25 citesQuality Aware Generative Adversarial Networks2019 · 19 citesMetropolis-Hastings Generative Adversarial Networks2018 · 18 citesGenerative Adversarial Network based on Resnet for Conditional Image Restoration2017 · 10 citesLearning the Base Distribution in Implicit Generative Models2018 · 10 citesInvestigating Under and Overfitting in Wasserstein Generative Adversarial Networks2019 · 8 citesRankGAN: A Maximum Margin Ranking GAN for Generating Faces2018 · 7 citesMultilinear Latent Conditioning for Generating Unseen Attribute Combinations2020 · 7 citesExploring Vision Transformers as Diffusion Learners2022 · 7 citesPotential Flow Generator with $L_2$ Optimal Transport Regularity for Generative Models2019 · 6 citesSpontaneous Symmetry Breaking in Generative Diffusion Models2023 · 6 citesFirst Order Generative Adversarial Networks2018 · 5 citesWasserstein-Wasserstein Auto-Encoders2019 · 5 citesMatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network2020 · 5 citesPioneer Networks: Progressively Growing Generative Autoencoder2018 · 4 citesImage Generation and Editing with Variational Info Generative AdversarialNetworks2017 · 3 citesBayesian GAN2017 · 3 citesManifold-preserved GANs2021 · 2 citesOptimal Transport Based Generative Autoencoders2019 · 1 citesTeaching a GAN What Not to Learn2020 · 1 citesAttributes Aware Face Generation with Generative Adversarial Networks2020 · 1 citesUnbiased Image Synthesis via Manifold Guidance in Diffusion Models2023 · 1 citesLabel-Removed Generative Adversarial Networks Incorporating with K-Means2019GANspection2019Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks2021Generative Convolution Layer for Image Generation2021cycle text2face: cycle text-to-face gan via transformers2022Latent Space is Feature Space: Regularization Term for GANs Training on Limited Dataset2022Memory Efficient Diffusion Probabilistic Models via Patch-based Generation2023Compensation Sampling for Improved Convergence in Diffusion Models2023Exploring Diffusion Time-steps for Unsupervised Representation Learning2024All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models2024Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling2024Taking Control of Intra-class Variation in Conditional GANs Under Weak Supervision2018Hierarchical Mixtures of Generators for Adversarial Learning2019Robust Generative Adversarial Network2020