no code implementations • 26 Mar 2024 • Julia Guerrero-Viu, J. Daniel Subias, Ana Serrano, Katherine R. Storrs, Roland W. Fleming, Belen Masia, Diego Gutierrez
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 geometry and lighting.
no code implementations • ICCV 2023 • Chao Wang, Ana Serrano, Xingang Pan, Bin Chen, Hans-Peter Seidel, Christian Theobalt, Karol Myszkowski, Thomas Leimkuehler
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.
no code implementations • 19 Oct 2021 • Chao Wang, Bin Chen, Hans-Peter Seidel, Karol Myszkowski, Ana Serrano
High Dynamic Range (HDR) content is becoming ubiquitous due to the rapid development of capture technologies.
no code implementations • 25 Mar 2021 • Daniel Martin, Ana Serrano, Alexander W. Bergman, Gordon Wetzstein, Belen Masia
Generative adversarial approaches could alleviate this challenge by generating a large number of possible scanpaths for unseen images.
no code implementations • 7 Jan 2021 • Manuel Lagunas, Ana Serrano, Diego Gutierrez, Belen Masia
In this work, we perform a comprehensive and systematic analysis of how the interplay of geometry, illumination, and their spatial frequencies affects human performance on material recognition tasks.
1 code implementation • 4 May 2019 • Manuel Lagunas, Sandra Malpica, Ana Serrano, Elena Garces, Diego Gutierrez, Belen Masia
We present a model to measure the similarity in appearance between different materials, which correlates with human similarity judgments.
no code implementations • 13 Jun 2018 • Ana Serrano, Elena Garces, Diego Gutierrez, Belen Masia
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.
no code implementations • 13 Jun 2018 • Ana Serrano, Felix Heide, Diego Gutierrez, Gordon Wetzstein, Belen Masia
Current HDR acquisition techniques are based on either (i) fusing multibracketed, low dynamic range (LDR) images, (ii) modifying existing hardware and capturing different exposures simultaneously with multiple sensors, or (iii) reconstructing a single image with spatially-varying pixel exposures.
no code implementations • 13 Dec 2016 • Vincent Sitzmann, Ana Serrano, Amy Pavel, Maneesh Agrawala, Diego Gutierrez, Belen Masia, Gordon Wetzstein
Understanding how people explore immersive virtual environments is crucial for many applications, such as designing virtual reality (VR) content, developing new compression algorithms, or learning computational models of saliency or visual attention.