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Unconditional Image Generation

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Showing 1–50 of 73 papers

TitleStatusHype
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
Normalizing Flows are Capable Generative ModelsCode3
Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging DatasetsCode1
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
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One StepCode2
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified PerspectiveCode2
Edge-preserving noise for diffusion modelsCode1
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
Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion ModelsCode2
Iso-Diffusion: Improving Diffusion Probabilistic Models Using the Isotropy of the Additive Gaussian Noise—0
Diversity-aware Channel Pruning for StyleGAN CompressionCode1
WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image SynthesisCode2
Erasing Undesirable Influence in Diffusion ModelsCode1
Improving Diffusion-Based Image Synthesis with Context Prediction—0
Return of Unconditional Generation: A Self-supervised Representation Generation MethodCode2
Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models—0
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics—0
Unified High-binding Watermark for Unconditional Image Generation Models—0
Gradpaint: Gradient-Guided Inpainting with Diffusion Models—0
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
Conceptual and Hierarchical Latent Space Decomposition for Face Editing—0
Diffusion Probabilistic Model Made Slim—0
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and GenerationCode2
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image SynthesisCode2
Recursive Reasoning in Minimax Games: A Level k Gradient Play MethodCode0
Semantic Image Synthesis with Semantically Coupled VQ-Model—0
Generator Knows What Discriminator Should Learn in Unconditional GANsCode1
The ArtBench Dataset: Benchmarking Generative Models with ArtworksCode2
PAGER: Progressive Attribute-Guided Extendable Robust Image GenerationCode0
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular ValuesCode1
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality—0
High-Resolution Image Synthesis with Latent Diffusion ModelsCode4
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANsCode1
Optimizing Few-Step Diffusion Samplers by Gradient Descent—0
Instance-Conditioned GANCode1
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