activity
20182026
most citedTensor-based Emotion Editing in the StyleGAN Latent Space

7 citations · 9 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Shift-Aware Identity-Guided Latent Refinement for Referring Audio--Visual Segmentation

Kun Li, Sami Sebastian Brandt, Michael Ying Yang

Referring Audio--Visual Segmentation (Ref-AVS) is an emergent multimodal task requiring the precise identification and segmentation of a specific object based on a natural language…

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.CV2023★ 1 cited

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…

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.CV2019★ 1 cited

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…

cs.CV2018

Integral Geometric Dual Distributions of Multilinear Models

Sami Sebastian Brandt

We propose an integral geometric approach for computing dual distributions for the parameter distributions of multilinear models. The dual distributions can be computed from, for e…

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…