activity
20182025
most citedTensor-based Emotion Editing in the StyleGAN Latent Space

7 citations · 7 across the 4 of their papers we have counts for

collaborators

6 papers

cs.SD2025

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…

cs.CV2022

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…

cs.CV2022★ 7 cited

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…

cs.CV2021

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…

cs.CV2018

Uncalibrated Non-Rigid Factorisation by Independent Subspace Analysis

Sami Sebastian Brandt, Hanno Ackermann, Stella Grasshof

We propose a general, prior-free approach for the uncalibrated non-rigid structure-from-motion problem for modelling and analysis of non-rigid objects such as human faces. The word…

cs.CV2018

Unsupervised Features for Facial Expression Intensity Estimation over Time

Maren Awiszus, Stella Graßhof, Felix Kuhnke +1

The diversity of facial shapes and motions among persons is one of the greatest challenges for automatic analysis of facial expressions. In this paper, we propose a feature describ…