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Found 8 papers, 4 papers with code
Generalized Portrait Quality Assessment
Automated and robust portrait quality assessment (PQA) is of paramount importance in high-impact applications such as smartphone photography.
Towards a Perceptual Evaluation Framework for Lighting Estimation
Progress in lighting estimation is tracked by computing existing image quality assessment (IQA) metrics on images from standard datasets.
NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement
Moreover, a NILUT can be extended to incorporate multiple styles into a single network with the ability to blend styles implicitly.
Perceptual Image Enhancement for Smartphone Real-Time Applications
Our experiments show that, with much fewer parameters and operations, our model can deal with the mentioned artifacts and achieve competitive performance compared with state-of-the-art methods on standard benchmarks.
Matching visual induction effects on screens of different size
In the film industry, the same movie is expected to be watched on displays of vastly different sizes, from cinema screens to mobile phones.
Synthesizing Visual Illusions Using Generative Adversarial Networks
Visual illusions are a very useful tool for vision scientists, because they allow them to better probe the limits, thresholds and errors of the visual system.
Convolutional Neural Networks Deceived by Visual Illusions
In particular, we show that CNNs trained for image denoising, image deblurring, and computational color constancy are able to replicate the human response to visual illusions, and that the extent of this replication varies with respect to variation in architecture and spatial pattern size.
On the Duality Between Retinex and Image Dehazing
Image dehazing deals with the removal of undesired loss of visibility in outdoor images due to the presence of fog.
