5 citations · 12 across the 5 of their papers we have counts for
5 papers
Locality-preserving Directions for Interpreting the Latent Space of Satellite Image GANs
Georgia Kourmouli, Nikos Kostagiolas, Yannis Panagakis +1
We present a locality-aware method for interpreting the latent space of wavelet-based Generative Adversarial Networks (GANs), that can well capture the large spatial and spectral v…
Investigating Personalization Methods in Text to Music Generation
Manos Plitsis, Theodoros Kouzelis, Georgios Paraskevopoulos +2
In this work, we investigate the personalization of text-to-music diffusion models in a few-shot setting. Motivated by recent advances in the computer vision domain, we are the fir…
Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models
Nikos Kostagiolas, Mihalis A. Nicolaou, Yannis Panagakis
In recent years, considerable advancements have been made in the area of Generative Adversarial Networks (GANs), particularly with the advent of style-based architectures that addr…
Fast Multilevel Algorithms for Compressive Principle Component Pursuit
Vahan Hovhannisyan, Yannis Panagakis, Panos Parpas +1
Recovering a low-rank matrix from highly corrupted measurements arises in compressed sensing of structured high-dimensional signals (e.g., videos and hyperspectral images among oth…
3D Face Morphable Models "In-the-Wild"
James Booth, Epameinondas Antonakos, Stylianos Ploumpis +3
3D Morphable Models (3DMMs) are powerful statistical models of 3D facial shape and texture, and among the state-of-the-art methods for reconstructing facial shape from single image…