Search Results for author: Yann Gousseau

Found 21 papers, 11 papers with code

A Compact and Semantic Latent Space for Disentangled and Controllable Image Editing

1 code implementation13 Dec 2023 Gwilherm Lesné, Yann Gousseau, Saïd Ladjal, Alasdair Newson

Recent advances in the field of generative models and in particular generative adversarial networks (GANs) have lead to substantial progress for controlled image editing, especially compared with the pre-deep learning era.

Attribute Disentanglement

Infusion: Internal Diffusion for Video Inpainting

no code implementations2 Nov 2023 Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson

We show that in the case of video inpainting, thanks to the highly auto-similar nature of videos, the training of a diffusion model can be restricted to the video to inpaint and still produce very satisfying results.

Optical Flow Estimation Video Inpainting

A statistically constrained internal method for single image super-resolution

no code implementations3 Feb 2023 Pierrick Chatillon, Yann Gousseau, Sidonie Lefebvre

In particular, various papers have shown that the learning stage can be performed on a single image, resulting in the so-called internal approaches.

Image Super-Resolution

Feature-Style Encoder for Style-Based GAN Inversion

1 code implementation4 Feb 2022 Xu Yao, Alasdair Newson, Yann Gousseau, Pierre Hellier

Additionally, we demonstrate that the proposed encoder is especially well-suited for inversion and editing on videos.

Image Reconstruction

Weakly Supervised Change Detection Using Guided Anisotropic Difusion

no code implementations31 Dec 2021 Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau

Large scale datasets created from crowdsourced labels or openly available data have become crucial to provide training data for large scale learning algorithms.

Change Detection Semantic Segmentation +1

A Latent Transformer for Disentangled Face Editing in Images and Videos

1 code implementation ICCV 2021 Xu Yao, Alasdair Newson, Yann Gousseau, Pierre Hellier

Previous works that attempt to tackle this problem may suffer from the entanglement of facial attributes and the loss of the person's identity.

Attribute Disentanglement

An analysis of the transfer learning of convolutional neural networks for artistic images

no code implementations5 Nov 2020 Nicolas Gonthier, Yann Gousseau, Saïd Ladjal

Transfer learning from huge natural image datasets, fine-tuning of deep neural networks and the use of the corresponding pre-trained networks have become de facto the core of art analysis applications.

Art Analysis Transfer Learning

High resolution neural texture synthesis with long range constraints

2 code implementations4 Aug 2020 Nicolas Gonthier, Yann Gousseau, Saïd Ladjal

Experiments show the interest of the multi-scale scheme for high resolution textures and the interest of combining it with additional constraints for regular textures.

Texture Synthesis Vocal Bursts Intensity Prediction

Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection

no code implementations17 Apr 2019 Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau

Large scale datasets created from user labels or openly available data have become crucial to provide training data for large scale learning algorithms.

Change Detection Semantic Segmentation +1

Processsing Simple Geometric Attributes with Autoencoders

no code implementations15 Apr 2019 Alasdair Newson, Andrés Almansa, Yann Gousseau, Saïd Ladjal

This results in a wide range of practical problems, such as difficulties in training, the tendency to sample images with little or no variability, and generalisation problems.

Image Generation Position

Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks

1 code implementation19 Oct 2018 Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau

The Copernicus Sentinel-2 program now provides multispectral images at a global scale with a high revisit rate.

Change Detection

Multitask Learning for Large-scale Semantic Change Detection

no code implementations19 Oct 2018 Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau

In this paper we present the first large scale high resolution semantic change detection (HRSCD) dataset, which enables the usage of deep learning methods for semantic change detection.

Change Detection

Taking Apart Autoencoders: How do They Encode Geometric Shapes ?

no code implementations ICLR 2018 Alasdair Newson, Andres Almansa, Yann Gousseau, Said Ladjal

We study the precise mechanisms which allow autoencoders to encode and decode a simple geometric shape, the disk.

Texture Synthesis Through Convolutional Neural Networks and Spectrum Constraints

2 code implementations4 May 2016 Gang Liu, Yann Gousseau, Gui-Song Xia

This paper presents a significant improvement for the synthesis of texture images using convolutional neural networks (CNNs), making use of constraints on the Fourier spectrum of the results.

Texture Synthesis

Video Inpainting of Complex Scenes

no code implementations18 Mar 2015 Alasdair Newson, Andrés Almansa, Matthieu Fradet, Yann Gousseau, Patrick Pérez

Our algorithm is able to deal with a variety of challenging situations which naturally arise in video inpainting, such as the correct reconstruction of dynamic textures, multiple moving objects and moving background.

Image Inpainting Video Editing +1

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