5 citations · 7 across the 4 of their papers we have counts for
5 papers
Towards Understanding Depth Perception in Foveated Rendering
Sophie Kergaßner, Taimoor Tariq, Piotr Didyk
The true vision for real-time virtual and augmented reality is reproducing our visual reality in its entirety on immersive displays. To this end, foveated rendering leverages the l…
Human Vision Constrained Super-Resolution
Volodymyr Karpenko, Taimoor Tariq, Jorge Condor +1
Modern deep-learning super-resolution (SR) techniques process images and videos independently of the underlying content and viewing conditions. However, the sensitivity of the huma…
Noise-based Enhancement for Foveated Rendering
Taimoor Tariq, Cara Tursun, Piotr Didyk
Human visual sensitivity to spatial details declines towards the periphery. Novel image synthesis techniques, so-called foveated rendering, exploit this observation and reduce the…
A HVS-inspired Attention to Improve Loss Metrics for CNN-based Perception-Oriented Super-Resolution
Taimoor Tariq, Juan Luis Gonzalez, Munchurl Kim
Deep Convolutional Neural Network (CNN) features have been demonstrated to be effective perceptual quality features. The perceptual loss, based on feature maps of pre-trained CNN's…
Why Are Deep Representations Good Perceptual Quality Features?
Taimoor Tariq, Okan Tarhan Tursun, Munchurl Kim +1
Recently, intermediate feature maps of pre-trained convolutional neural networks have shown significant perceptual quality improvements, when they are used in the loss function for…