Browsing by Author "Masia, Belen"

Now showing items 1-8 of 8

    • Coded Apertures for Defocus Deblurring 

      Masia, Belen; Corrales, Adrian; Presa, Lara; Gutierrez, Diego (The Eurographics Association, 2021)
      The field of computational photography, and in particular the design and implementation of coded apertures, has yielded impressive results in the last years. Among their applications lies defocus deblurring, in which we ...

    • 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. ...

    • DriveRNN: Predicting Drivers' Attention with Deep Recurrent Networks 

      Lasheras-Hernandez, Blanca; Masia, Belen; Martin, Daniel (The Eurographics Association, 2022)
      Lately, the automotive industry has experienced a significant development led by the ambitious objective of creating an autonomous vehicle. This entails understanding driving behaviors in different environments, which ...

    • Efficient Propagation of Light Field Edits 

      Jarabo, Adrian; Masia, Belen; Gutierrez, Diego (The Eurographics Association, 2021)
      Light field editing is a complex task, due to the large amount of data and the need to keep consistency between views. This has hampered the creation of efficient edit propagation methods, similar to those existing for ...

    • Navigating the Manifold of Translucent Appearance 

      Lanza, Dario; Masia, Belen; Jarabo, Adrian (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      We present a perceptually-motivated manifold for translucent appearance, designed for intuitive editing of translucent materials by navigating through the manifold. Classic tools for editing translucent appearance, based ...

    • 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 ...

    • Single-image Full-body Human Relighting 

      Lagunas, Manuel; Sun, Xin; Yang, Jimei; Villegas, Ruben; Zhang, Jianming; Shu, Zhixin; Masia, Belen; Gutierrez, Diego (The Eurographics Association, 2021)
      We present a single-image data-driven method to automatically relight images with full-body humans in them. Our framework is based on a realistic scene decomposition leveraging precomputed radiance transfer (PRT) and ...

    • 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 ...