Publications related to Fashioning Creative Expertise with Generative AI: Graphical Interfaces for GAN-Based Design Space Exploration Better Support Ideation Than Text Prompts for Diffusion Models

Generative adversarial training of product of policies for robust and adaptive movement primitives

Sylvain Calinon, Emmanuel Pignat, Hakan Girgin

In learning from demonstrations, many generative models of trajectories make simplifying assumptions of independence. Correctness is sacrificed in the name of tractability and speed of the learning phase. The ignored dependencies, which are often the kinem ...

2020

FeGAN: Scaling Distributed GANs

Rachid Guerraoui, Anne-Marie Kermarrec, Arsany Hany Abdelmessih Guirguis

Existing approaches to distribute Generative Adversarial Networks (GANs) either (i) fail to scale for they typically put the two components of a GAN (the generator and the discriminator) on different machines, inducing significant communication overhead, o ...

2020

Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network

Alexis Berne, Jussi Sakari Leinonen, Daniele Nerini

Generative adversarial networks (GANs) have been recently adopted for super-resolution, an application closely related to what is referred to as "downscaling'' in the atmospheric sciences: improving the spatial resolution of low-resolution images. The abil ...

2020

Dual Generator Generative Adversarial Networks for Multi-domain Image-to-Image Translation

Yan Yan, Wei Wang

State-of-the-art methods for image-to-image translation with Generative Adversarial Networks (GANs) can learn a mapping from one domain to another domain using unpaired image data. However, these methods require the training of one specific model for every ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation

Yan Yan, Wei Wang, Gaowen Liu

In this work, we propose a novel Cycle In Cycle Generative Adversarial Network (C2GAN) for the task of keypoint-guided image generation. The proposed C2GAN is a cross-modal framework exploring a joint exploitation of the keypoint and the image data in an i ...

ASSOC COMPUTING MACHINERY2019

Adaptation of Multiple Sound Source Localization Neural Networks with Weak Supervision and Domain-Adversarial Training

Jean-Marc Odobez, Petr Motlicek, Weipeng He

Despite the recent success of deep neural network-based approaches in sound source localization, these approaches suffer the limitations that the required annotation process is costly, and the mismatch between the training and test conditions undermines th ...

IEEE2019

Modeling Facial Geometry using Compositional VAEs

Pascal Fua, Timur Bagautdinov, Chenglei Wu

We propose a method for learning non-linear face geometry representations using deep generative models. Our model is a variational autoencoder with multiple levels of hidden variables where lower layers capture global geometry and higher ones encode more l ...

2018

Modeling Facial Geometry using Compositional VAEs

Pascal Fua, Timur Bagautdinov, Chenglei Wu

IEEE2018

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Fashioning Creative Expertise with Generative AI: Graphical Interfaces for GAN-Based Design Space Exploration Better Support Ideation Than Text Prompts for Diffusion Models

Deep Generative Models and Applications

Generative adversarial training of product of policies for robust and adaptive movement primitives

FeGAN: Scaling Distributed GANs

Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network

Dual Generator Generative Adversarial Networks for Multi-domain Image-to-Image Translation

Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation

Adaptation of Multiple Sound Source Localization Neural Networks with Weak Supervision and Domain-Adversarial Training

Modeling Facial Geometry using Compositional VAEs

Modeling Facial Geometry using Compositional VAEs

Computational Aesthetics and Image Enhancements using Deep Neural Networks

Graph Chatbot

Chat with Graph Search

Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network

Dual Generator Generative Adversarial Networks for Multi-domain Image-to-Image Translation

FeGAN: Scaling Distributed GANs

Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation

Modeling Facial Geometry using Compositional VAEs

Adaptation of Multiple Sound Source Localization Neural Networks with Weak Supervision and Domain-Adversarial Training

Computational Aesthetics and Image Enhancements using Deep Neural Networks

Modeling Facial Geometry using Compositional VAEs

Generative adversarial training of product of policies for robust and adaptive movement primitives

Deep Generative Models and Applications