Search Results for author: Julien Rabin

Found 12 papers, 6 papers with code

On the De-duplication of LAION-2B

1 code implementation17 Mar 2023 Ryan Webster, Julien Rabin, Loic Simon, Frederic Jurie

Generative models, such as DALL-E, Midjourney, and Stable Diffusion, have societal implications that extend beyond the field of computer science.

This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces

no code implementations13 Jul 2021 Ryan Webster, Julien Rabin, Loic Simon, Frederic Jurie

Recently, generative adversarial networks (GANs) have achieved stunning realism, fooling even human observers.

Variational models for signal processing with Graph Neural Networks

1 code implementation30 Mar 2021 Amitoz Azad, Julien Rabin, Abderrahim Elmoataz

In this work, we investigate the use of variational models for such GNN to process signals on graphs for unsupervised learning.

On the Existence of Optimal Transport Gradient for Learning Generative Models

no code implementations10 Feb 2021 Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin

Training of WGAN relies on a theoretical background: the calculation of the gradient of the optimal transport cost with respect to the generative model parameters.

valid

On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity

no code implementations21 Jun 2020 Rodrigue Siry, Ryan Webster, Loic Simon, Julien Rabin

The recent advent of powerful generative models has triggered the renewed development of quantitative measures to assess the proximity of two probability distributions.

Domain Adaptation

On Demand Solid Texture Synthesis Using Deep 3D Networks

1 code implementation13 Jan 2020 Jorge Gutierrez, Julien Rabin, Bruno Galerne, Thomas Hurtut

Based on a few example images of textures, a generative network is trained to synthesize coherent portions of solid textures of arbitrary sizes that reproduce the visual characteristics of the examples along some directions.

Texture Synthesis

Revisiting Precision and Recall Definition for Generative Model Evaluation

1 code implementation14 May 2019 Loïc Simon, Ryan Webster, Julien Rabin

In this article we revisit the definition of Precision-Recall (PR) curves for generative models proposed by Sajjadi et al. (arXiv:1806. 00035).

Two-sample testing

Detecting Overfitting of Deep Generative Networks via Latent Recovery

1 code implementation CVPR 2019 Ryan Webster, Julien Rabin, Loic Simon, Frederic Jurie

Using this methodology, this paper shows that overfitting is not detectable in the pure GAN models proposed in the literature, in contrast with those using hybrid adversarial losses, which are amongst the most widely applied generative methods.

Facial Inpainting Memorization +1

Automatic discovery of discriminative parts as a quadratic assignment problem

no code implementations14 Nov 2016 Ronan Sicre, Julien Rabin, Yannis Avrithis, Teddy Furon, Frederic Jurie

Part-based image classification consists in representing categories by small sets of discriminative parts upon which a representation of the images is built.

General Classification Image Classification

Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost

no code implementations5 Oct 2016 Nicolas Papadakis, Julien Rabin

We investigate in this work a versatile convex framework for multiple image segmentation, relying on the regularized optimal mass transport theory.

Image Segmentation Segmentation +1

Convex Color Image Segmentation with Optimal Transport Distances

no code implementations6 Mar 2015 Julien Rabin, Nicolas Papadakis

This work is about the use of regularized optimal-transport distances for convex, histogram-based image segmentation.

Image Segmentation Semantic Segmentation

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