Publications

Hernán CARRILLO, Michael Clément, Aurélie Bugeau, Edgar Simo-Serra (2023). Diffusart: Enhancing Line Art Colorization With Conditional Diffusion Models. In Conference on Computer Vision and Pattern Recognition Workshops.

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Hernán CARRILLO, Michael Clément, Aurélie Bugeau (2022). Super-attention for exemplar-based image colorization. In Asian Conference on Computer Vision.

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Coloma Ballester, Aurélie Bugeau, Hernán CARRILLO, Michael Clément, Rémi Giraud, Lara Raad, Patricia Vitoria (2022). Analysis of different losses for deep learning image colorization. In Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging.

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Coloma Ballester, Aurélie Bugeau, Hernán CARRILLO, Michael Clément, Rémi Giraud, Lara Raad, Patricia Vitoria (2022). Influence of Color Spaces for Deep Learning Image Colorization. In Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging.

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Hernán CARRILLO, Michael Clément, Aurélie Bugeau (2022). Non-local matching of superpixel-based deep features for color transfer. In International Conference on Computer Vision Theory and Applications.

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Hernán CARRILLO, Millardet, Mael, Thomas Carlier, Diana Mateus (2020). Low-count PET image reconstruction with Bayesian inference over a Deep Prior. In SPIE Medical Imaging 2021.

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