138 citations · 591 across the 12 of their papers we have counts for
12 papers
Predicting Perceived Gloss: Do Weak Labels Suffice?
Julia Guerrero-Viu, J. Daniel Subias, Ana Serrano +4
Estimating perceptual attributes of materials directly from images is a challenging task due to their complex, not fully-understood interactions with external factors, such as geom…
GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild
Chao Wang, Ana Serrano, Xingang Pan +5
Most in-the-wild images are stored in Low Dynamic Range (LDR) form, serving as a partial observation of the High Dynamic Range (HDR) visual world. Despite limited dynamic range, th…
Learning a self-supervised tone mapping operator via feature contrast masking loss
Chao Wang, Bin Chen, Hans-Peter Seidel +2
High Dynamic Range (HDR) content is becoming ubiquitous due to the rapid development of capture technologies. Nevertheless, the dynamic range of common display devices is still lim…
ScanGAN360: A Generative Model of Realistic Scanpaths for 360 Images
Daniel Martin, Ana Serrano, Alexander W. Bergman +2
Understanding and modeling the dynamics of human gaze behavior in 360 environments is a key challenge in computer vision and virtual reality. Generative adversarial approac…
The joint role of geometry and illumination on material recognition
Manuel Lagunas, Ana Serrano, Diego Gutierrez +1
Observing and recognizing materials is a fundamental part of our daily life. Under typical viewing conditions, we are capable of effortlessly identifying the objects that surround…
Multimodality in VR: A survey
Daniel Martin, Sandra Malpica, Diego Gutierrez +2
Virtual reality (VR) is rapidly growing, with the potential to change the way we create and consume content. In VR, users integrate multimodal sensory information they receive, to…