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Found 6 papers, 3 papers with code
Comprehensive Comparisons of Uniform Quantization in Deep Image Compression
The experimental results reveal that the best approximated quantization differs by the network architectures, and the best approximations of the three are different from the original ones used for the architectures.
Universal Deep Image Compression via Content-Adaptive Optimization with Adapters
This task aims to compress images belonging to arbitrary domains, such as natural images, line drawings, and comics.
Evaluating the Stability of Deep Image Quality Assessment With Respect to Image Scaling
We comprehensively evaluate four deep IQAs on the same five datasets, and the experimental results show that image scale significantly influences IQA performance.
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021.
Few-Shot Font Generation with Deep Metric Learning
Designing fonts for languages with a large number of characters, such as Japanese and Chinese, is an extremely labor-intensive and time-consuming task.
Building a Manga Dataset "Manga109" with Annotations for Multimedia Applications
Manga, or comics, which are a type of multimodal artwork, have been left behind in the recent trend of deep learning applications because of the lack of a proper dataset.
