Search Results for author: Dominik Engel

Found 9 papers, 2 papers with code

Evaluating Text to Image Synthesis: Survey and Taxonomy of Image Quality Metrics

no code implementations18 Mar 2024 Sebastian Hartwig, Dominik Engel, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam, Timo Ropinski

Thus, researchers have started to collect datasets with increasingly complex annotations to study the compositionality of vision-language models and their incorporation as a quality measure of compositional alignment between text and image contents.

Image Generation

Attention-Guided Masked Autoencoders For Learning Image Representations

no code implementations23 Feb 2024 Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski

Masked autoencoders (MAEs) have established themselves as a powerful method for unsupervised pre-training for computer vision tasks.

Object Discovery Unsupervised Pre-training

Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling

no code implementations21 Sep 2023 Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski

We achieve this by (1) learning depth-feature correlation by spatially correlate the feature maps with the depth maps to induce knowledge about the structure of the scene and (2) implementing farthest-point sampling to more effectively select relevant features by utilizing 3D sampling techniques on depth information of the scene.

Feature Correlation Unsupervised Semantic Segmentation

Leveraging Self-Supervised Vision Transformers for Neural Transfer Function Design

no code implementations4 Sep 2023 Dominik Engel, Leon Sick, Timo Ropinski

In volume rendering, transfer functions are used to classify structures of interest, and to assign optical properties such as color and opacity.

ClusterNet: A Perception-Based Clustering Model for Scattered Data

no code implementations27 Apr 2023 Sebastian Hartwig, Christian van Onzenoodt, Dominik Engel, Pedro Hermosilla, Timo Ropinski

Finally, we compare our approach against existing state-of-the-art clustering techniques and can show, that ClusterNet is able to generalize to unseen and out of scope data.

Clustering Outlier Detection

Monocular Depth Decomposition of Semi-Transparent Volume Renderings

1 code implementation27 Jun 2022 Dominik Engel, Sebastian Hartwig, Timo Ropinski

Additionally, we investigate how these networks can be extended to further obtain color and opacity information, in order to create a layered representation of the scene based on a single color image.

Monocular Depth Estimation

Differentiable Electron Microscopy Simulation: Methods and Applications for Visualization

no code implementations8 May 2022 Ngan Nguyen, Feng Liang, Dominik Engel, Ciril Bohak, Peter Wonka, Timo Ropinski, Ivan Viola

We propose a new microscopy simulation system that can depict atomistic models in a micrograph visual style, similar to results of physical electron microscopy imaging.

Denoising

Finding Nano-Ötzi: Semi-Supervised Volume Visualization for Cryo-Electron Tomography

no code implementations4 Apr 2021 Ngan Nguyen, Ciril Bohak, Dominik Engel, Peter Mindek, Ondřej Strnad, Peter Wonka, Sai Li, Timo Ropinski, Ivan Viola

Our technique shows the high impact in target sciences for visual data analysis of very noisy volumes that cannot be visualized with existing techniques.

Electron Tomography Segmentation

Deep Volumetric Ambient Occlusion

1 code implementation19 Aug 2020 Dominik Engel, Timo Ropinski

We present a novel deep learning based technique for volumetric ambient occlusion in the context of direct volume rendering.

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