CelebA

CelebA is a dataset containing celebrity images annotated with various attributes, used to evaluate the alignment of generative models and vision encoders in capturing meaningful semantic information.

Papers using CelebA (72)

L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation2025 · 2 citesFrom Core to Detail: Unsupervised Disentanglement with Entropy-Ordered Flows2026IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks2025Heavy-Tailed Class-Conditional Priors for Long-Tailed Generative Modeling2025Toward Architecture-Agnostic Local Control of Posterior Collapse in VAEs2025Variational Rank Reduction Autoencoders2025CKGAN: Training Generative Adversarial Networks Using Characteristic Kernel Integral Probability Metrics2025Binary Diffusion Probabilistic Model2025Disentanglement as Identifiable Pushforward Factorisation2024Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data2024LatentGAN Autoencoder: Learning Disentangled Latent Distribution2022MMD GAN: Towards Deeper Understanding of Moment Matching Network2017 · 255 citesBoundary-Seeking Generative Adversarial Networks2017 · 112 citesViTGAN: Training GANs with Vision Transformers2021 · 79 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 · 34 citesCoulomb GANs: Provably Optimal Nash Equilibria via Potential Fields2017 · 29 citesSoft Diffusion: Score Matching for General Corruptions2022 · 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 citesEfficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution2024 · 16 citesGenerative Adversarial Network based on Resnet for Conditional Image Restoration2017 · 10 citesLearning the Base Distribution in Implicit Generative Models2018 · 10 citesMaximum Likelihood Training of Implicit Nonlinear Diffusion Models2022 · 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 citesDiffusion Models for Counterfactual Explanations2022 · 7 citesExploring Vision Transformers as Diffusion Learners2022 · 7 citesSpontaneous Symmetry Breaking in Generative Diffusion Models2023 · 7 citesPotential Flow Generator with $L_2$ Optimal Transport Regularity for Generative Models2019 · 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 citesInterpreting and Improving Diffusion Models from an Optimization Perspective2023 · 4 citesImage Generation and Editing with Variational Info Generative AdversarialNetworks2017 · 3 citesBayesian GAN2017 · 3 citesAlleviating Adversarial Attacks on Variational Autoencoders with MCMC2022 · 3 citesManifold-preserved GANs2021 · 2 citesVariational Autoencoders Without the Variation2022 · 2 citesOptimal Transport Based Generative Autoencoders2019 · 1 citesTeaching a GAN What Not to Learn2020 · 1 citesAttributes Aware Face Generation with Generative Adversarial Networks2020 · 1 citesPreventing Oversmoothing in VAE via Generalized Variance Parameterization2021 · 1 citesUnbiased Image Synthesis via Manifold Guidance in Diffusion Models2023 · 1 citesOn Kernel-based Variational Autoencoder2024 · 1 citesLabel-Removed Generative Adversarial Networks Incorporating with K-Means2019GANspection2019Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks2021Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions2021Generative Convolution Layer for Image Generation2021cycle text2face: cycle text-to-face gan via transformers2022DOT-VAE: Disentangling One Factor at a Time2022Latent Space is Feature Space: Regularization Term for GANs Training on Limited Dataset2022Fast Inference in Denoising Diffusion Models via MMD Finetuning2023Memory Efficient Diffusion Probabilistic Models via Patch-based Generation2023$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence2023Compensation Sampling for Improved Convergence in Diffusion Models2023On Inference Stability for 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 Modelling2024Your Image is Secretly the Last Frame of a Pseudo Video2024Taking Control of Intra-class Variation in Conditional GANs Under Weak Supervision2018Hierarchical Mixtures of Generators for Adversarial Learning2019Robust Generative Adversarial Network2020