Research

• RePaint: Inpainting using Denoising Diffusion Probabilistic Models
  Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, Luc Van Gool.
  CVPR, 2022.
   

• GANmut: Learning Interpretable Conditional Space for Gamut of Emotions.
  Stefano d’Apolito, Danda Pani Paudel, Zhiwu Huang, Andres Romero, Luc Van Gool.
  CVPR, 2021.
   

• Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning.
  Kangning Liu, Shuhang Gu, Andrés Romero, Luc Van Gool, Radu Timofte.
  WACV, 2021.
  

• Zero-Pair Image to Image Translation Using Domain Conditional Normalization.
  Samarth Shukla, Andrés Romero, Radu Timofte.
  WACV, 2021.
   

• SMILE: Semantically-guided Multi-attribute Image and Layout Editing.
  Andrés Romero, Luc Van Gool, Radu Timofte.
  ICCV, AIM Workshop, 2021.
   

• DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution.
  Marcel C. Bühler, Andrés Romero, Radu Timofte.
  ACCV, 2020.
   
  
  
• UltraGAN: Ultrasound Enhancement Through Adversarial Generation.
  Maria Escobar, Ángela Castillo, Andrés Romero, Pablo Arbeláez.
  MICCAI, Workshop on Simulation and Synthesis in Medical Imaging, 2020.
   
  
  
• SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects.
  Evangelos Ntavelis, Andrés Romero, Iason Kastanis,  Luc Van Gool, Radu Timofte.
  ECCV, 2020.
   
  
  
• SMIT: Stochastic Multi-Label Image-to-Image Translation (2019).
  Andrés Romero, Pablo Arbeláez, Luc Van Gool, Radu Timofte.
  ICCV, AIM Workshop, 2019.
   
  
  
• Multi-View Dynamic Facial Action Unit Detection (2018).
  Andrés Romero, Juan León, Pablo Arbeláez.
  Image and Vision Computing, 2018.