Low-count PET image reconstruction with Bayesian inference over a Deep Prior. - Hernan Carrillo; Maël Millardet; Thomas Carlier; Diana Mateus (Image Processing, 2021)

Super-Attention for Exemplar-Based Image Colorization. - Hernan Carrillo; Michaël Clément; Aurélie Bugeau (ACCV (2), 2022)

Non-local Matching of Superpixel-based Deep Features for Color Transfer. - Hernan Carrillo; Michaël Clément; Aurélie Bugeau (VISIGRAPP (4: VISAPP), 2022)

Influence of Color Spaces for Deep Learning Image Colorization. - Coloma Ballester; Aurélie Bugeau; Hernan Carrillo; Michaël Clément; Rémi Giraud; Lara Raad; Patricia Vitoria (CoRR, 2022)

Analysis of Different Losses for Deep Learning Image Colorization. - Coloma Ballester; Aurélie Bugeau; Hernan Carrillo; Michaël Clément; Rémi Giraud; Lara Raad; Patricia Vitoria (CoRR, 2022)

Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models. - Hernan Carrillo; Michaël Clément; Aurélie Bugeau; Edgar Simo-Serra (CVPR Workshops, 2023)

Non-local Matching of Superpixel-based Deep Features for Color Transfer and Colorization. - Roxane Leduc; Hernan Carrillo; Nicolas Papadakis (Image Process. Line, 2024)

Guiding neural networks for image colorization through user interactions. (Colorisation d'images avec réseaux de neurones guidés par l'intéraction humaine). - Hernan Carrillo (2024)