5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2024
ATTIQA: Generalizable Image Quality Feature Extractor using Attribute-aware Pretraining
Daekyu Kwon, Dongyoung Kim, Sehwan Ki +3
In no-reference image quality assessment (NR-IQA), the challenge of limited dataset sizes hampers the development of robust and generalizable models. Conventional methods address t…
cs.CV2023★ 1 cited
Information-Theoretic GAN Compression with Variational Energy-based Model
Minsoo Kang, Hyewon Yoo, Eunhee Kang +3
We propose an information-theoretic knowledge distillation approach for the compression of generative adversarial networks, which aims to maximize the mutual information between te…
cs.CV2019★ 5 cited
A Novel Just-Noticeable-Difference-based Saliency-Channel Attention Residual Network for Full-Reference Image Quality Predictions
Soomin Seo, Sehwan Ki, Munchurl Kim
Recently, due to the strength of deep convolutional neural networks (CNN), many CNN-based image quality assessment (IQA) models have been studied. However, previous CNN-based IQA m…