SOTAVerified

Perceptual Distance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 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
Show:102550
← PrevPage 1 of 2Next →

No leaderboard results yet.