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Found 3 papers, 1 papers with code
Training a Task-Specific Image Reconstruction Loss
The choice of a loss function is an important factor when training neural networks for image restoration problems, such as single image super resolution.
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality
As the existing HDR quality datasets are limited in size, we created a Unified Photometric Image Quality dataset (UPIQ) with over 4, 000 images by realigning and merging existing HDR and standard-dynamic-range (SDR) datasets.
Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization
In this paper we propose ASAP, an active sampling algorithm based on approximate message passing and expected information gain maximization.
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