activity
20182022
most citedTensor-based Emotion Editing in the StyleGAN Latent Space

7 citations · 7 across the 2 of their papers we have counts for

collaborators

5 papers

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.CV20227 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…