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Pérez Molina, Clara María

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0000-0001-8260-4155
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Pérez Molina
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Clara María
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2017 - 201912020 - 20231
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  • Miniatura
    Publicación
    RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects
    (IEEE Xplore, 2023-09-04) Kirch, Sascha; Olyunina, Valeria; Ondřej, Jan; Pagés, Rafael; Martín Gutiérrez, Sergio; Pérez Molina, Clara María; https://orcid.org/0000-0002-5578-7555; https://orcid.org/0009-0000-9766-5057; https://orcid.org/0000-0002-5409-1521; https://orcid.org/0000-0002-5691-9580
    We present RGB-D-Fusion, a multi-modal conditional denoising diffusion probabilistic model to generate high resolution depth maps from low-resolution monocular RGB images of humanoid subjects. Accurately representing the human body in 3D is a very active research field given its wide variety of applications. Most 3D reconstruction algorithms rely on depth maps, either coming from low-resolution consumer-level depth sensors, or from monocular depth estimation from standard images. While many modern frameworks use VAEs or GANs for monocular depth estimation, we leverage recent advances in the field of diffusion denoising probabilistic models. We implement a multi-stage conditional diffusion model that first generates a low-resolution depth map conditioned on an image and then upsamples the depth map conditioned on a low-resolution RGB-D image. We further introduce a novel augmentation technique, depth noise augmentation, to increase the robustness of our super-resolution model. Lastly, we show how our method performs on a wide variety of humans with different body types, clothing and poses.
  • Miniatura
    Publicación
    Smart Grid: Assessment of the past and present in developed and developing countries
    (ELSEVIER, 2017) Ponce Jara, Marcos Antonio; Ruiz Larrocha, Elena; Gil Ortego, Rosario; San Cristóbal Ruiz, Elio; Pérez Molina, Clara María; Castro Gil, Manuel Alonso; https://orcid.org/0000-0002-4450-4740
    The modern struggle to generate electricity reducing our dependence on fossil fuels and decreasing greenhouse gas emissions has found an ally in Smart Grid technology. This new trend involves a renewed perspective on how to generate, transmit, distribute and manage electricity networks, which not only helps to reduce power demand and cost, but can also improve efficiency, reliability, quality and security. This paper aims to study comprehensively the Smart Grid power system by comparing experiences and success stories from around the world. Developed countries, like the United States and those in the European Union, and developing countries, like India and Brazil, have been taken as examples of the current development and state of the Smart Grid concept. Europe and the U.S. lead the development of Smart Grids systems, while Brazil and India strongly depend on foreign technology and investment for their development in their countries. Climate change represents an extra challenge for developing countries, in addition to other issues related to economic and social advancement. Nevertheless, Smart Grids offer an array of possibilities and opportunities that work towards climate change international goals. However, state motivations and national energy resources limit the advancement of Smart Grids on this matter.