4 citations · 7 across the 14 of their papers we have counts for
16 papers
Greenscapes: Optimized Vegetation Configurations in Cities
Patryk Bartkowiak, Marcin Marlewski, Paweł Wójcik +5
Vegetation plays a central role in cities, serving functional roles such as balancing shade and sky exposure, shaping the microclimate, carbon sequestration, and providing acoustic…
Beyond Local Linearity: Scale-Resolved Geometry of Learned Image Encoders
Jakub Szymkowiak, Wojtek Pałubicki, Kamil Adamczewski
Understanding how learned representations respond to finite input changes is important for characterizing their sensitivity, invariances, and robustness. Yet existing geometric ana…
SynGallery: A Synthetic Gallery of Real Paintings for Instance-Level Artwork Recognition
Patryk Bartkowiak, Jakub Markil, Bartosz Kotrys +3
Instance-level artwork recognition requires matching a handheld visitor photograph to a specific work in a large museum collection. This is challenging because painting datasets ty…
WildFireGS: Physics-Based Wildfire Simulation in Large-Scale Semantics-Enriched Gaussian Splatting Forest Scenes
Nienke Driessen, Joris Rijsdijk, Sören Pirk +3
Climate-driven environmental change is driving an increase in both the frequency and severity of wildfire events, making accurate simulation and prediction critical for effective r…
Text-conditioned Segmentation for Tomato Phenotyping via Procedural Synthetic Data
Samy Mounir, Mikolaj Cieslak, Najmeddine Dhieb +8
Vision-based automation is an excellent candidate for reducing manual labor in greenhouse crop production and phenotyping. However, progress is constrained by the lack of annotated…
MaSC: A Masked Similarity Metric for Evaluating Concept-Driven Generation
Patryk Bartkowiak, Lennart Petersen, Bartosz Kotrys +3
Evaluating single-concept personalization in text-to-image diffusion requires measuring both concept preservation, which captures identity fidelity to a reference, and prompt follo…
Auditing Metrics for Synthetic Data Utility: A Cross-Domain Study of Appearance and Geometry
Patryk Bartkowiak, Bartosz Kotrys, Dominik Michels +2
We propose SADGE, a quantitative similarity metric that predicts the performance of synthetic image datasets for common computer vision tasks without downstream model training. Est…
SynVA: A Modular Toolkit for Vessel Generation and Aneurysm Editing
Marten J. Finck, Niklas C. Koser, Sarker M. Mahfuz +7
Intracranial aneurysms (IAs), characterized by unpredictable growth and risk of rupture, are a major cause of stroke and can lead to life-threatening hemorrhages with high mortalit…
Gaussians on Fire: High-Frequency Reconstruction of Flames
Jakob Nazarenus, Dominik Michels, Wojtek Palubicki +4
We propose a method to reconstruct dynamic fire in 3D from a limited set of camera views with a Gaussian-based spatiotemporal representation. Capturing and reconstructing fire and…
FlameForge: Combustion of Generalized Wooden Structures
Daoming Liu, Jonathan Klein, Florian Rist +3
We propose a unified volumetric combustion simulator that supports general wooden structures capturing the multi-phase combustion of charring materials. Complex geometric structure…
Neural Surface Priors for Editable Gaussian Splatting
Jakub Szymkowiak, Weronika Jakubowska, Dawid Malarz +5
In computer graphics and vision, recovering easily modifiable scene appearance from image data is crucial for applications such as content creation. We introduce a novel method tha…
LAESI: Leaf Area Estimation with Synthetic Imagery
Jacek Kałużny, Yannik Schreckenberg, Karol Cyganik +7
We introduce LAESI, a Synthetic Leaf Dataset of 100,000 synthetic leaf images on millimeter paper, each with semantic masks and surface area labels. This dataset provides a resourc…
Generating Diverse Agricultural Data for Vision-Based Farming Applications
Mikolaj Cieslak, Umabharathi Govindarajan, Alejandro Garcia +7
We present a specialized procedural model for generating synthetic agricultural scenes, focusing on soybean crops, along with various weeds. This model is capable of simulating dis…
A Lennard-Jones Layer for Distribution Normalization
Mulun Na, Jonathan Klein, Biao Zhang +3
We introduce the Lennard-Jones layer (LJL) for the equalization of the density of 2D and 3D point clouds through systematically rearranging points without destroying their overall…
Gazebo Plants: Simulating Plant-Robot Interaction with Cosserat Rods
Junchen Deng, Samhita Marri, Jonathan Klein +4
Robotic harvesting has the potential to positively impact agricultural productivity, reduce costs, improve food quality, enhance sustainability, and to address labor shortage. In t…
Accurately Solving Physical Systems with Graph Learning
Han Shao, Tassilo Kugelstadt, Torsten Hädrich +4
Iterative solvers are widely used to accurately simulate physical systems. These solvers require initial guesses to generate a sequence of improving approximate solutions. In this…