76 citations · 163 across the 6 of their papers we have counts for
12 papers
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr, Martin Danelljan, Andres Romero +3
Free-form inpainting is the task of adding new content to an image in the regions specified by an arbitrary binary mask. Most existing approaches train for a certain distribution o…
Generalized Real-World Super-Resolution through Adversarial Robustness
Angela Castillo, María Escobar, Juan C. Pérez +4
Real-world Super-Resolution (SR) has been traditionally tackled by first learning a specific degradation model that resembles the noise and corruption artifacts in low-resolution i…
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Andres Romero, Heewon Kim +28
Video super-resolution has recently become one of the most important mobile-related problems due to the rise of video communication and streaming services. While many solutions hav…
Zero-Pair Image to Image Translation using Domain Conditional Normalization
Samarth Shukla, Andrés Romero, Luc Van Gool +1
In this paper, we propose an approach based on domain conditional normalization (DCN) for zero-pair image-to-image translation, i.e., translating between two domains which have no…
Self-Supervised Shadow Removal
Florin-Alexandru Vasluianu, Andres Romero, Luc Van Gool +1
Shadow removal is an important computer vision task aiming at the detection and successful removal of the shadow produced by an occluded light source and a photo-realistic restorat…
SMILE: Semantically-guided Multi-attribute Image and Layout Editing
Andrés Romero, Luc Van Gool, Radu Timofte
Attribute image manipulation has been a very active topic since the introduction of Generative Adversarial Networks (GANs). Exploring the disentangled attribute space within a tran…
AIM 2020 Challenge on Image Extreme Inpainting
Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli +1
This paper reviews the AIM 2020 challenge on extreme image inpainting. This report focuses on proposed solutions and results for two different tracks on extreme image inpainting: c…
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning
Kangning Liu, Shuhang Gu, Andres Romero +1
Existing unsupervised video-to-video translation methods fail to produce translated videos which are frame-wise realistic, semantic information preserving and video-level consisten…
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
Evangelos Ntavelis, Andrés Romero, Iason Kastanis +2
Recent advances in image generation gave rise to powerful tools for semantic image editing. However, existing approaches can either operate on a single image or require an abundanc…
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution
Marcel C. Bühler, Andrés Romero, Radu Timofte
Super-resolution (SR) is by definition ill-posed. There are infinitely many plausible high-resolution variants for a given low-resolution natural image. Most of the current literat…
SMIT: Stochastic Multi-Label Image-to-Image Translation
Andrés Romero, Pablo Arbeláez, Luc Van Gool +1
Cross-domain mapping has been a very active topic in recent years. Given one image, its main purpose is to translate it to the desired target domain, or multiple domains in the cas…
Multi-View Dynamic Facial Action Unit Detection
Andres Romero, Juan Leon, Pablo Arbelaez
We propose a novel convolutional neural network approach to address the fine-grained recognition problem of multi-view dynamic facial action unit detection. We leverage recent gain…