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Found 7 papers, 2 papers with code
Training Neural Networks on RAW and HDR Images for Restoration Tasks
Our results indicate that neural networks train significantly better on HDR and RAW images represented in display-encoded color spaces, which offer better perceptual uniformity than linear spaces.
Stereoscopic Depth Perception Through Foliage
The same was true with stereoscopic video because of the occlusions caused by foliage.
Perceptual Quality Assessment of NeRF and Neural View Synthesis Methods for Front-Facing Views
We measured the quality of videos synthesized by several NVS methods in a well-controlled perceptual quality assessment experiment as well as with many existing state-of-the-art image/video quality metrics.
G-SemTMO: Tone Mapping with a Trainable Semantic Graph
In this work, we draw inspiration from an expert photographer's approach and present a Graph-based Semantic-aware Tone Mapping Operator, G-SemTMO.
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.
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets
Data augmentation is rapidly gaining attention in machine learning.
Dynamic Range Independent Image Quality Assessment
Current quality assessment metrics are not suitable for this task, as they assume that both reference and test images have the same dynamic range.
