2 citations · 5 across the 6 of their papers we have counts for
6 papers
Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory
Xiaoyan Xing, Vincent Tao Hu, Jan Hendrik Metzen +3
This paper introduces a novel approach to illumination manipulation in diffusion models, addressing the gap in conditional image generation with a focus on lighting conditions. We…
Label-free Neural Semantic Image Synthesis
Jiayi Wang, Kevin Alexander Laube, Yumeng Li +4
Recent work has shown great progress in integrating spatial conditioning to control large, pre-trained text-to-image diffusion models. Despite these advances, existing methods desc…
Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data
Niclas Popp, Jan Hendrik Metzen, Matthias Hein
Multi-modal foundation models such as CLIP have showcased impressive zero-shot capabilities. However, their applicability in resource-constrained environments is limited due to the…
Identification of Fine-grained Systematic Errors via Controlled Scene Generation
Valentyn Boreiko, Matthias Hein, Jan Hendrik Metzen
Many safety-critical applications, especially in autonomous driving, require reliable object detectors. They can be very effectively assisted by a method to search for and identify…
Identifying Systematic Errors in Object Detectors with the SCROD Pipeline
Valentyn Boreiko, Matthias Hein, Jan Hendrik Metzen
The identification and removal of systematic errors in object detectors can be a prerequisite for their deployment in safety-critical applications like automated driving and roboti…
Identification of Systematic Errors of Image Classifiers on Rare Subgroups
Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua +2
Despite excellent average-case performance of many image classifiers, their performance can substantially deteriorate on semantically coherent subgroups of the data that were under…