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Structure-Texture Image Decomposition Using Deep Variational Priors
Youngjung Kim
, Bumsub Ham
,
Minh N. Do
, Kwanghoon Sohn
Electrical and Computer Engineering
Bioengineering
Coordinated Science Lab
Biomedical and Translational Sciences
Beckman Institute for Advanced Science and Technology
Siebel School of Computing and Data Science
Grainger College of Engineering
Carl R. Woese Institute for Genomic Biology
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Dive into the research topics of 'Structure-Texture Image Decomposition Using Deep Variational Priors'. Together they form a unique fingerprint.
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Keyphrases
Variational
100%
Structure-texture Decomposition
100%
Structure Image
66%
Convolution Neural Network
66%
Smoothing Methods
33%
Oscillation
33%
High Contrast
33%
Degrees of Freedom
33%
Image Processing Applications
33%
High Amplitude
33%
Smoothing Effect
33%
Training Data
33%
Intensity Difference
33%
Halo Artifact
33%
Computational Image
33%
Large Gradients
33%
Variational Formulation
33%
Modular Structure
33%
Functional Spaces
33%
Common Notion
33%
Non-photorealistic
33%
Fine Spatial Scale
33%
Learned Priors
33%
Iterative Smoothing
33%
Alternating Direction Method
33%
Smoothing Scheme
33%
Computational Photography
33%
Total Variation Prior
33%
Detail Manipulation
33%
Texture Removal
33%
HDR Tone Mapping
33%
Computer Science
Tone Mapping
50%