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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
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One StepCode2
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified PerspectiveCode2
Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion ModelsCode2
WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image SynthesisCode2
Return of Unconditional Generation: A Self-supervised Representation Generation MethodCode2
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and GenerationCode2
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image SynthesisCode2
The ArtBench Dataset: Benchmarking Generative Models with ArtworksCode2
Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging DatasetsCode1
Edge-preserving noise for diffusion modelsCode1
Diversity-aware Channel Pruning for StyleGAN CompressionCode1
Erasing Undesirable Influence in Diffusion ModelsCode1
Diffusion Models for Constrained DomainsCode1
Binary Latent DiffusionCode1
Denoising Diffusion Autoencoders are Unified Self-supervised LearnersCode1
Efficient Diffusion Training via Min-SNR Weighting StrategyCode1
Fast Inference in Denoising Diffusion Models via MMD FinetuningCode1
Generator Knows What Discriminator Should Learn in Unconditional GANsCode1
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular ValuesCode1
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANsCode1
Instance-Conditioned GANCode1
ILVR: Conditioning Method for Denoising Diffusion Probabilistic ModelsCode1
Manifold Matching via Deep Metric Learning for Generative ModelingCode1
Dual Contrastive Loss and Attention for GANsCode1
Negative Data AugmentationCode1
Adaptive Weighted Discriminator for Training Generative Adversarial NetworksCode1
Learning Semantic-aware Normalization for Generative Adversarial NetworksCode1
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANsCode1
Score-Based Generative Modeling through Stochastic Differential EquationsCode1
Large Scale Adversarial Representation LearningCode1
DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition—0
Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration—0
Entropy Rectifying Guidance for Diffusion and Flow Models—0
A Unified Framework for Diffusion Bridge Problems: Flow Matching and Schrödinger Matching into One—0
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis—0
Training-Free Safe Denoisers for Safe Use of Diffusion Models—0
PQD: Post-training Quantization for Efficient Diffusion Models—0
Enhancing Low Dose Computed Tomography Images Using Consistency Training Techniques—0
Scalable, Tokenization-Free Diffusion Model Architectures with Efficient Initial Convolution and Fixed-Size Reusable Structures for On-Device Image Generation—0
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling—0
Deep MMD Gradient Flow without adversarial training—0
Generative Modelling with High-Order Langevin Dynamics—0
LD-Pruner: Efficient Pruning of Latent Diffusion Models using Task-Agnostic Insights—0
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers—0
Iso-Diffusion: Improving Diffusion Probabilistic Models Using the Isotropy of the Additive Gaussian Noise—0
Improving Diffusion-Based Image Synthesis with Context Prediction—0
Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models—0
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics—0
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