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Perceptual Distance

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Showing 1–33 of 33 papers

TitleStatusHype
Exploring Compressed Image Representation as a Perceptual Proxy: A StudyCode7
Palette: Image-to-Image Diffusion ModelsCode2
Diverse Image-to-Image Translation via Disentangled RepresentationsCode1
Where and What? Examining Interpretable Disentangled RepresentationsCode1
DRIT++: Diverse Image-to-Image Translation via Disentangled RepresentationsCode1
HWD: A Novel Evaluation Score for Styled Handwritten Text GenerationCode1
Perceptual Adversarial Robustness: Defense Against Unseen Threat ModelsCode1
Adversarial Image Generation by Spatial Transformation in Perceptual ColorspacesCode1
On the Suitability of L_p-norms for Creating and Preventing Adversarial Examples—0
PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance—0
Perceptual Adversarial Robustness: Generalizable Defenses Against Unforeseen Threat Models—0
Perceptual spaces and their symmetries: The geometry of color space—0
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models—0
RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment—0
Rateless Stochastic Coding for Delay-Constrained Semantic Communication—0
Rational Inattention and Perceptual Distance—0
Semantic and Geometric Unfolding of StyleGAN Latent Space—0
Shape-driven Coordinate Ordering for Star Glyph Sets via Reinforcement Learning—0
The Human Visual System and Adversarial AI—0
Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation—0
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations—0
CPIPS: Learning to Preserve Perceptual Distances in End-to-End Image Compression—0
Evaluating Perceptual Distance Models by Fitting Binomial Distributions to Two-Alternative Forced Choice Data—0
From Molecules to Mixtures: Learning Representations of Olfactory Mixture Similarity using Inductive Biases—0
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images—0
Improving Perceptual Quality of Adversarial Images Using Perceptual Distance Minimization and Normalized Variance Weighting—0
On the relation between statistical learning and perceptual distances—0
TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions—0
Understanding and Simplifying Perceptual Distances—0
ADS: Approximate Densest Subgraph for Novel Image Discovery—0
Towards Better Robustness against Common Corruptions for Unsupervised Domain AdaptationCode0
Towards Visual Distortion in Black-Box AttacksCode0
Guetzli: Perceptually Guided JPEG EncoderCode0
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