Now showing items 1-10 of 10

    • Advances on computational imaging, material appearance, and virtual reality 

      Serrano, Ana (Universidad de Zaragoza, 2019-04-29)
      Visual computing is a recently coined term that embraces many subfields in computer science related to the acquisition, analysis, or synthesis of visual data through the use of computer resources. What brings all these ...
    • CEIG 2022: Frontmatter 

      Serrano, Ana; Posada, Jorge (The Eurographics Association, 2022)
    • Convolutional Sparse Coding for Capturing High‐Speed Video Content 

      Serrano, Ana; Garces, Elena; Masia, Belen; Gutierrez, Diego (© 2017 The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Video capture is limited by the trade‐off between spatial and temporal resolution: when capturing videos of high temporal resolution, the spatial resolution decreases due to bandwidth limitations in the capture system. ...
    • EUROGRAPHICS 2023: Tutorials Frontmatter 

      Serrano, Ana; Slusallek, Philipp (Eurographics Association, 2023)
    • Exploring the Impact of 360º Movie Cuts in Users' Attention 

      Marañes, Carlos; Gutierrez, Diego; Serrano, Ana (The Eurographics Association, 2020)
      Virtual Reality (VR) has become more relevant since the first devices for personal use became available on the market. New content has emerged for this new medium with different purposes such as education, traning, ...
    • Learning a Self-supervised Tone Mapping Operator via Feature Contrast Masking Loss 

      Wang, Chao; Chen, Bin; Seidel, Hans-Peter; Myszkowski, Karol; Serrano, Ana (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      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 limited, therefore tone mapping (TM) remains ...
    • Modeling Surround-aware Contrast Sensitivity 

      Yi, Shinyoung; Jeon, Daniel S.; Serrano, Ana; Jeong, Se-Yoon; Kim, Hui-Yong; Gutierrez, Diego; Kim, Min H. (The Eurographics Association, 2021)
      Despite advances in display technology, many existing applications rely on psychophysical datasets of human perception gathered using older, sometimes outdated displays. As a result, there exists the underlying assumption ...
    • Modelling Surround‐aware Contrast Sensitivity for HDR Displays 

      Yi, Shinyoung; Jeon, Daniel S.; Serrano, Ana; Jeong, Se‐Yoon; Kim, Hui‐Yong; Gutierrez, Diego; Kim, Min H. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2022)
      Despite advances in display technology, many existing applications rely on psychophysical datasets of human perception gathered using older, sometimes outdated displays. As a result, there exists the underlying assumption ...
    • Predicting Perceived Gloss: Do Weak Labels Suffice? 

      Guerrero-Viu, Julia; Subias, Jose Daniel; Serrano, Ana; Storrs, Katherine R.; Fleming, Roland W.; Masia, Belen; Gutierrez, Diego (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Estimating perceptual attributes of materials directly from images is a challenging task due to their complex, not fullyunderstood interactions with external factors, such as geometry and lighting. Supervised deep learning ...
    • Structure-preserving Style Transfer 

      Calvo, Santiago; Serrano, Ana; Gutierrez, Diego; Masia, Belen (The Eurographics Association, 2019)
      Transferring different artistic styles to images while preserving their content is a difficult image processing task. Since the seminal deep learning approach of Gatys et al. [GEB16], many recent works have proposed different ...