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Unconditional Image Generation

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Showing 51–73 of 73 papers

TitleStatusHype
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
HYPE: Human-eYe Perceptual Evaluation of Generative Models—0
Improving Diffusion-Based Image Synthesis with Context Prediction—0
Iso-Diffusion: Improving Diffusion Probabilistic Models Using the Isotropy of the Additive Gaussian Noise—0
JGAN: A Joint Formulation of GAN for Synthesizing Images and Labels—0
LD-Pruner: Efficient Pruning of Latent Diffusion Models using Task-Agnostic Insights—0
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality—0
Optimizing Few-Step Diffusion Samplers by Gradient Descent—0
PQD: Post-training Quantization for Efficient Diffusion Models—0
Relative Pixel Prediction For Autoregressive Image Generation—0
Scalable, Tokenization-Free Diffusion Model Architectures with Efficient Initial Convolution and Fixed-Size Reusable Structures for On-Device Image Generation—0
Semantic Image Synthesis with Semantically Coupled VQ-Model—0
Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration—0
SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms—0
Towards GAN Benchmarks Which Require Generalization—0
Training-Free Safe Denoisers for Safe Use of Diffusion Models—0
Unified High-binding Watermark for Unconditional Image Generation Models—0
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling—0
Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models—0
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