59 citations · 73 across the 6 of their papers we have counts for
6 papers
CrimEdit: Controllable Editing for Counterfactual Object Removal, Insertion, and Movement
Boseong Jeon, Junghyuk Lee, Jimin Park +4
Recent works on object removal and insertion have enhanced their performance by handling object effects such as shadows and reflections, using diffusion models trained on counterfa…
Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability
Jaehui Hwang, Junghyuk Lee, Jong-Seok Lee
With the advancement of generative models, the assessment of generated images becomes more and more important. Previous methods measure distances between features of reference and…
Demystifying Randomly Initialized Networks for Evaluating Generative Models
Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee
Evaluation of generative models is mostly based on the comparison between the estimated distribution and the ground truth distribution in a certain feature space. To embed samples…
Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications
Junghyuk Lee, Toinon Vigier, Patrick Le Callet +1
In this paper, we propose a novel framework to characterize a wide color gamut image content based on perceived quality due to the processes that change color gamut, and demonstrat…
Ambiguity of Objective Image Quality Metrics: A New Methodology for Performance Evaluation
Manri Cheon, Toinon Vigier, Lukáš Krasula +3
Objective image quality metrics try to estimate the perceptual quality of the given image by considering the characteristics of the human visual system. However, it is possible tha…
Music Popularity: Metrics, Characteristics, and Audio-Based Prediction
Junghyuk Lee, Jong-Seok Lee
Understanding music popularity is important not only for the artists who create and perform music but also for the music-related industry. It has not been studied well how music po…