ImageNet

ImageNet is a large-scale dataset containing millions of labeled images across thousands of categories, used to evaluate the performance of image generation models.

Papers using ImageNet (97)

Generative Modeling via Drifting2026Deeply Supervised Flow-Based Generative Models2025 · 13 citesOne-step Latent-free Image Generation with Pixel Mean Flows2026 · 1 citesRAD: Region-Aware Diffusion Models for Image Inpainting2024 · 1 citesPQD: Post-training Quantization for Efficient Diffusion Models2025 · 1 citesGMem: A Modular Approach for Ultra-Efficient Generative Models2024 · 1 citesOne-Step Generative Modeling via Wasserstein Gradient Flows2026Dynamic Chunking Diffusion Transformer2026Variational Flow Maps: Make Some Noise for One-Step Conditional Generation2026End-to-End Training for Unified Tokenization and Latent Denoising2026Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation2026Multilevel and Sequential Monte Carlo for Training-Free Diffusion Guidance2026Distribution Matching Variational AutoEncoder2025Yuan-TecSwin: A text conditioned Diffusion model with Swin-transformer blocks2025Are First-Order Diffusion Samplers Really Slower? A Fast Forward-Value Approach2025Diffusion As Self-Distillation: End-to-End Latent Diffusion In One Model2025DiP: Taming Diffusion Models in Pixel Space2025There is No VAE: End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-training2025Adapting Self-Supervised Representations as a Latent Space for Efficient Generation2025LowDiff: Efficient Diffusion Sampling with Low-Resolution Condition2025Accelerating Diffusion Model Training under Minimal Budgets: A Condensation-Based Perspective2025Learning Diffusion Models with Flexible Representation Guidance2025Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models2025Explore the vulnerability of black-box models via diffusion models2025Diffuse and Disperse: Image Generation with Representation Regularization2025DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling2025PixelFlow: Pixel-Space Generative Models with Flow2025Controlling Latent Diffusion Using Latent CLIP2025Masked Autoencoders Are Effective Tokenizers for Diffusion Models2025Diffusion Models for Inverse Problems in the Exponential Family2025Diffusion or Non-Diffusion Adversarial Defenses: Rethinking the Relation between Classifier and Adversarial Purifier2025Guiding a diffusion model using sliding windows2024Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion2024Rectified Diffusion Guidance for Conditional Generation2024Unlocking Dataset Distillation with Diffusion Models2024Spatial-and-Frequency-aware Restoration method for Images based on Diffusion Models2024Large Scale GAN Training for High Fidelity Natural Image Synthesis2018 · 2,430 citesConditional Image Synthesis With Auxiliary Classifier GANs2016 · 2,072 citesImproved Techniques for Training GANs2016 · 1,386 citesCascaded Diffusion Models for High Fidelity Image Generation2021 · 454 citesLarge Scale Adversarial Representation Learning2019 · 196 citesProgressive Distillation for Fast Sampling of Diffusion Models2022 · 190 citesBoundary-Seeking Generative Adversarial Networks2017 · 112 citesDiffEdit: Diffusion-based semantic image editing with mask guidance2022 · 102 citesClassification Accuracy Score for Conditional Generative Models2019 · 99 citesHigh-Fidelity Image Generation With Fewer Labels2019 · 95 citesSynthetic Data from Diffusion Models Improves ImageNet Classification2023 · 79 citesContraGAN: Contrastive Learning for Conditional Image Generation2020 · 77 citesLOGAN: Latent Optimisation for Generative Adversarial Networks2019 · 55 citesOn Leveraging Pretrained GANs for Generation with Limited Data2020 · 50 citesEmerging Convolutions for Generative Normalizing Flows2019 · 43 citesAccelerating Diffusion Models via Early Stop of the Diffusion Process2022 · 37 citesOn the Importance of Noise Scheduling for Diffusion Models2023 · 33 citesSimple diffusion: End-to-end diffusion for high resolution images2023 · 27 citesHierarchical Autoregressive Image Models with Auxiliary Decoders2019 · 26 citesTransferring GANs: generating images from limited data2018 · 21 citesFinding an Unsupervised Image Segmenter in Each of Your Deep Generative Models2021 · 20 citesStyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets2022 · 20 citesDiscriminator optimal transport2019 · 17 citesImproving the Speed and Quality of GAN by Adversarial Training2020 · 14 citesReduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC2023 · 14 citesAccelerating Diffusion Sampling with Optimized Time Steps2024 · 13 citesTraining Generative Adversarial Networks by Solving Ordinary Differential Equations2020 · 12 citesRegularizing Generative Adversarial Networks under Limited Data2021 · 11 citesDiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder2022 · 11 citesSelf-Supervised GANs via Auxiliary Rotation Loss2018 · 7 citesPhotorealistic Video Generation with Diffusion Models2023 · 7 citescGANs with Conditional Convolution Layer2019 · 6 citesFlexIT: Towards Flexible Semantic Image Translation2022 · 4 cites3D-aware Image Generation using 2D Diffusion Models2023 · 4 citesG3DR: Generative 3D Reconstruction in ImageNet2024 · 4 citesFixed Point Diffusion Models2024 · 3 citesCondition-Aware Neural Network for Controlled Image Generation2024 · 3 citesHow good is my GAN?2018 · 2 citesAuto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis2019 · 2 citesDiverse Image Generation via Self-Conditioned GANs2020 · 2 citesTinyGAN: Distilling BigGAN for Conditional Image Generation2020 · 2 citesOmni-GAN: On the Secrets of cGANs and Beyond2020 · 2 citesf-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation2022 · 2 citesTF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition2023 · 2 citesExploring Transformer Backbones for Image Diffusion Models2022 · 1 citesMimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model2023 · 1 citesFine-Tuning Text-To-Image Diffusion Models for Class-Wise Spurious Feature Generation2024 · 1 citesSD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer2024 · 1 citesPaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher2024 · 1 citesGuiding a Diffusion Model with a Bad Version of Itself2024 · 1 citesFast Flow Reconstruction via Robust Invertible nxn Convolution2019Learning High-Resolution Domain-Specific Representations with a GAN Generator2020Generative Adversarial Learning via Kernel Density Discrimination2021Palette: Image-to-Image Diffusion Models2021Improved Masked Image Generation with Token-Critic2022Zero-Shot Learning of a Conditional Generative Adversarial Network for Data-Free Network Quantization2022Nested Diffusion Processes for Anytime Image Generation2023Fast Samplers for Inverse Problems in Iterative Refinement Models2024Multistep Distillation of Diffusion Models via Moment Matching2024Diffusion Models For Multi-Modal Generative Modeling2024A Simple and Efficient Baseline for Zero-Shot Generative Classification2024