1 code implementation • 13 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.
no code implementations • 2 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.
1 code implementation • 7 Feb 2022 • Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson
We refer to our proposed layer as a "Patch-based Stochastic Attention Layer" (PSAL).
1 code implementation • 4 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.
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.
4 code implementations • ICCV 2021 • Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin, Julien Rebut
Understanding the scene around the ego-vehicle is key to assisted and autonomous driving.
1 code implementation • 14 Jun 2020 • Chi-Hieu Pham, Saïd Ladjal, Alasdair Newson
We hope that this approach will contribute to better understanding of the intrinsic latent spaces of powerful deep generative models.
2 code implementations • 9 May 2020 • Xu Yao, Gilles Puy, Alasdair Newson, Yann Gousseau, Pierre Hellier
We present an encoder-decoder architecture for face age editing.
no code implementations • 15 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.
1 code implementation • 2 Apr 2019 • Saïd Ladjal, Alasdair Newson, Chi-Hieu Pham
In this paper, we propose an algorithm to create such a network.
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.
no code implementations • 18 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.