activity
20172026
most citedNeural Implicit Representations for Physical Parameter Inference from a Single Video

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

DIAMOND-SSS: Diffusion-Augmented Multi-View Optimization for Data-efficient SubSurface Scattering

Guillermo Figueroa-Araneda, Iris Diana Jimenez, Florian Hofherr +3

Subsurface scattering (SSS) gives translucent materials -- such as wax, jade, marble, and skin -- their characteristic soft shadows, color bleeding, and diffuse glow. Modeling thes…

cs.CV2025

On Neural BRDFs: A Thorough Comparison of State-of-the-Art Approaches

Florian Hofherr, Bjoern Haefner, Daniel Cremers

The bidirectional reflectance distribution function (BRDF) is an essential tool to capture the complex interaction of light and matter. Recently, several works have employed neural…

cs.CV2025

ZDySS -- Zero-Shot Dynamic Scene Stylization using Gaussian Splatting

Abhishek Saroha, Florian Hofherr, Mariia Gladkova +3

Stylizing a dynamic scene based on an exemplar image is critical for various real-world applications, including gaming, filmmaking, and augmented and virtual reality. However, achi…

cs.CV2024

MeshFeat: Multi-Resolution Features for Neural Fields on Meshes

Mihir Mahajan, Florian Hofherr, Daniel Cremers

Parametric feature grid encodings have gained significant attention as an encoding approach for neural fields since they allow for much smaller MLPs, which significantly decreases…

cs.CV2022★ 1 cited

Neural Implicit Representations for Physical Parameter Inference from a Single Video

Florian Hofherr, Lukas Koestler, Florian Bernard +1

Neural networks have recently been used to analyze diverse physical systems and to identify the underlying dynamics. While existing methods achieve impressive results, they are lim…

physics.flu-dyn2017★ 1 cited

Lagrangian Transport Through Surfaces in Compressible Flows

Florian Hofherr, Daniel Karrasch

A material-based, i.e., Lagrangian, methodology for exact integration of flux by volume-preserving flows through a surface has been developed recently in [Karrasch, SIAM J. Appl. M…