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Perceptual Distance

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Showing 1–25 of 33 papers

TitleStatusHype
From Molecules to Mixtures: Learning Representations of Olfactory Mixture Similarity using Inductive Biases—0
Rateless Stochastic Coding for Delay-Constrained Semantic Communication—0
Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation—0
Evaluating Perceptual Distance Models by Fitting Binomial Distributions to Two-Alternative Forced Choice Data—0
ADS: Approximate Densest Subgraph for Novel Image Discovery—0
Exploring Compressed Image Representation as a Perceptual Proxy: A StudyCode7
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models—0
HWD: A Novel Evaluation Score for Styled Handwritten Text GenerationCode1
Adversarial Image Generation by Spatial Transformation in Perceptual ColorspacesCode1
CPIPS: Learning to Preserve Perceptual Distances in End-to-End Image Compression—0
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images—0
Towards Better Robustness against Common Corruptions for Unsupervised Domain AdaptationCode0
Improving Perceptual Quality of Adversarial Images Using Perceptual Distance Minimization and Normalized Variance Weighting—0
Palette: Image-to-Image Diffusion ModelsCode2
Semantic and Geometric Unfolding of StyleGAN Latent Space—0
Understanding and Simplifying Perceptual Distances—0
On the relation between statistical learning and perceptual distances—0
Where and What? Examining Interpretable Disentangled RepresentationsCode1
Shape-driven Coordinate Ordering for Star Glyph Sets via Reinforcement Learning—0
Perceptual Adversarial Robustness: Generalizable Defenses Against Unforeseen Threat Models—0
TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions—0
Perceptual spaces and their symmetries: The geometry of color space—0
Towards Visual Distortion in Black-Box AttacksCode0
Perceptual Adversarial Robustness: Defense Against Unseen Threat ModelsCode1
The Human Visual System and Adversarial AI—0
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