283 citations · 545 across the 21 of their papers we have counts for
26 papers
SCALMU: Synthetically-trained Coupling of Adaptive Learned Multiplicative Updates for Hyperspectral-Multispectral Fusion
Xinxin Xu, Yann Gousseau, Christophe Kervazo +1
HyperSpectral-MultiSpectral Image (HSI-MSI) fusion aims to recover a high-resolution hyperspectral image from a low-resolution HSI and a high-resolution MSI. Classical methods such…
Self-Supervised Multiview Xray Matching
Mohamad Dabboussi, Malo Huard, Yann Gousseau +1
Accurate interpretation of multi-view radiographs is crucial for diagnosing fractures, muscular injuries, and other anomalies. While significant advances have been made in AI-based…
Multispectral Texture Synthesis using RGB Convolutional Neural Networks
Sélim Ollivier, Yann Gousseau, Sidonie Lefebvre
State-of-the-art RGB texture synthesis algorithms rely on style distances that are computed through statistics of deep features. These deep features are extracted by classification…
Diffusion-based image inpainting with internal learning
Nicolas Cherel, Andrés Almansa, Yann Gousseau +1
Diffusion models are now the undisputed state-of-the-art for image generation and image restoration. However, they require large amounts of computational power for training and inf…
Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras
Raphaël Achddou, Yann Gousseau, Saïd Ladjal
In order to evaluate the capacity of a camera to render textures properly, the standard practice, used by classical scoring protocols, is to compute the frequential response to a d…
A Compact and Semantic Latent Space for Disentangled and Controllable Image Editing
Gwilherm Lesné, Yann Gousseau, Saïd Ladjal +1
Recent advances in the field of generative models and in particular generative adversarial networks (GANs) have lead to substantial progress for controlled image editing, especiall…