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Unconditional Image Generation

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Showing 1–50 of 73 papers

TitleStatusHype
High-Resolution Image Synthesis with Latent Diffusion ModelsCode4
Normalizing Flows are Capable Generative ModelsCode3
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image SynthesisCode2
The ArtBench Dataset: Benchmarking Generative Models with ArtworksCode2
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and GenerationCode2
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified PerspectiveCode2
WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image SynthesisCode2
Return of Unconditional Generation: A Self-supervised Representation Generation MethodCode2
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One StepCode2
Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion ModelsCode2
Negative Data AugmentationCode1
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANsCode1
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular ValuesCode1
Edge-preserving noise for diffusion modelsCode1
Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging DatasetsCode1
Score-Based Generative Modeling through Stochastic Differential EquationsCode1
Efficient Diffusion Training via Min-SNR Weighting StrategyCode1
Binary Latent DiffusionCode1
Denoising Diffusion Autoencoders are Unified Self-supervised LearnersCode1
Erasing Undesirable Influence in Diffusion ModelsCode1
Fast Inference in Denoising Diffusion Models via MMD FinetuningCode1
Generator Knows What Discriminator Should Learn in Unconditional GANsCode1
Manifold Matching via Deep Metric Learning for Generative ModelingCode1
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANsCode1
Diffusion Models for Constrained DomainsCode1
ILVR: Conditioning Method for Denoising Diffusion Probabilistic ModelsCode1
Adaptive Weighted Discriminator for Training Generative Adversarial NetworksCode1
Instance-Conditioned GANCode1
Large Scale Adversarial Representation LearningCode1
Diversity-aware Channel Pruning for StyleGAN CompressionCode1
Dual Contrastive Loss and Attention for GANsCode1
Learning Semantic-aware Normalization for Generative Adversarial NetworksCode1
Semi-supervised FusedGAN for Conditional Image Generation—0
A Unified Framework for Diffusion Bridge Problems: Flow Matching and Schrödinger Matching into One—0
Conceptual and Hierarchical Latent Space Decomposition for Face Editing—0
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis—0
Consistency Regularization for Generative Adversarial Networks—0
Data Instance Prior for Transfer Learning in GANs—0
Data InStance Prior (DISP) in Generative Adversarial Networks—0
Deep MMD Gradient Flow without adversarial training—0
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics—0
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers—0
DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition—0
Diffusion Probabilistic Model Made Slim—0
Directional GAN: A Novel Conditioning Strategy for Generative Networks—0
Enhancing Low Dose Computed Tomography Images Using Consistency Training Techniques—0
Entropy Rectifying Guidance for Diffusion and Flow Models—0
Generative Modelling with High-Order Langevin Dynamics—0
Gradpaint: Gradient-Guided Inpainting with Diffusion Models—0
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models—0
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