Hierarchical Approach Towards High Fidelity Image Generation

2020 ◽  
pp. 245-256
Author(s):  
Arindam Chaudhuri ◽  
Soumya K. Ghosh
Keyword(s):  
High Fidelity ◽  
Image Generation ◽  
Hierarchical Approach

scholarly journals On a high-fidelity hierarchical approach to buckling load calculations

2001 ◽  
Author(s):  
Johann Arbocz ◽  
James Starnes ◽  
Michael Nemeth
Keyword(s):  
Buckling Load ◽  
High Fidelity ◽  
Hierarchical Approach

High-quality multispectral image generation using Conditional GANs

2020 ◽  
Vol 2020 (8) ◽  
pp. 86-1-86-7
Author(s):  
Ayush Soni ◽  
Alexander Loui ◽  
Scott Brown ◽  
Carl Salvaggio
Keyword(s):  
Image Data ◽  
Multispectral Image ◽  
Aerial Images ◽  
Generative Adversarial Networks ◽  
Synthetic Image ◽  
High Fidelity ◽  
Image Generation ◽  
High Quality ◽  
Data Set ◽  
Synthetic Image Generation

In this paper, we demonstrate the use of a Conditional Generative Adversarial Networks (cGAN) framework for producing high-fidelity, multispectral aerial imagery using low-fidelity imagery of the same kind as input. The motivation behind is that it is easier, faster, and often less costly to produce low-fidelity images than high-fidelity images using the various available techniques, such as physics-driven synthetic image generation models. Once the cGAN network is trained and tuned in a supervised manner on a data set of paired low- and high-quality aerial images, it can then be used to enhance new, lower-quality baseline images of similar type to produce more realistic, high-fidelity multispectral image data. This approach can potentially save significant time and effort compared to traditional approaches of producing multispectral images.

Using the Theory of Planned Behavior to Predict Faking in Selection Exercises Varying in Fidelity

2018 ◽  
Vol 17 (3) ◽  
pp. 155-160 ◽  
Author(s):  
Daniel Dürr ◽  
Ute-Christine Klehe
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Predictive Validity ◽  
Group Discussion ◽  
Role Play ◽  
Selection Procedure ◽  
High Fidelity ◽  
Selection Research ◽  
Play Group

Abstract. Faking has been a concern in selection research for many years. Many studies have examined faking in questionnaires while far less is known about faking in selection exercises with higher fidelity. This study applies the theory of planned behavior (TPB; Ajzen, 1991 ) to low- (interviews) and high-fidelity (role play, group discussion) exercises, testing whether the TPB predicts reported faking behavior. Data from a mock selection procedure suggests that candidates do report to fake in low- and high-fidelity exercises. Additionally, the TPB showed good predictive validity for faking in a low-fidelity exercise, yet not for faking in high-fidelity exercises.

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