7 citations · 9 across the 5 of their papers we have counts for
8 papers
From Sound to Sight: Towards AI-authored Music Videos
Leo Vitasovic, Stella Graßhof, Agnes Mercedes Kloft +6
Conventional music visualisation systems rely on handcrafted ad hoc transformations of shapes and colours that offer only limited expressiveness. We propose two novel pipelines for…
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models
René Haas, Inbar Huberman-Spiegelglas, Rotem Mulayoff +3
Denoising Diffusion Models (DDMs) have emerged as a strong competitor to Generative Adversarial Networks (GANs). However, despite their widespread use in image synthesis and editin…
Controllable GAN Synthesis Using Non-Rigid Structure-from-Motion
René Haas, Stella Graßhof, Sami S. Brandt
In this paper, we present an approach for combining non-rigid structure-from-motion (NRSfM) with deep generative models,and propose an efficient framework for discovering trajector…
Tensor-based Emotion Editing in the StyleGAN Latent Space
René Haas, Stella Graßhof, Sami S. Brandt
In this paper, we use a tensor model based on the Higher-Order Singular Value Decomposition (HOSVD) to discover semantic directions in Generative Adversarial Networks. This is achi…
Tensor-based Subspace Factorization for StyleGAN
René Haas, Stella Graßhof, Sami Sebastian Brandt
In this paper, we propose GAN a tensor-based method for modeling the latent space of generative models. The objective is to identify semantic directions in latent space. To this…
Non-Rigid Structure-From-Motion by Rank-One Basis Shapes
Sami S. Brandt, Hanno Ackermann
In this paper, we show that the affine, non-rigid structure-from-motion problem can be solved by rank-one, thus degenerate, basis shapes. It is a natural reformulation of the class…