1 citations · 3 across the 18 of their papers we have counts for
18 papers
Vibe Coding: Practice, Performance, Productivity, and Risk -A State-of-the-Art Review
Dominik L. Michels, Mutaz Abu Ghazaleh, Francois Lazzari +2
Vibe coding - AI-assisted software development in which the developer describes intent in natural language and validates results by running rather than reading the generated code -…
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…
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…
Digital Salon: An AI and Physics-Driven Tool for 3D Hair Grooming and Simulation
Chengan He, Jorge Alejandro Amador Herrera, Zhixin Shu +9
We introduce Digital Salon, a comprehensive hair authoring system that supports real-time 3D hair generation, simulation, and rendering. Unlike existing methods that focus on isola…
Autoregressive Generation of Static and Growing Trees
Hanxiao Wang, Biao Zhang, Jonathan Klein +3
We propose a transformer architecture and training strategy for tree generation. The architecture processes data at multiple resolutions and has an hourglass shape, with middle lay…
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…
Augmented Mass-Spring model for Real-Time Dense Hair Simulation
Jorge Alejandro Amador Herrera, Yi Zhou, Xin Sun +4
We propose a novel Augmented Mass-Spring (AMS) model for real-time simulation of dense hair at strand level. Our approach considers the traditional edge, bending, and torsional deg…
Perm: A Parametric Representation for Multi-Style 3D Hair Modeling
Chengan He, Xin Sun, Zhixin Shu +8
We present Perm, a learned parametric representation of human 3D hair designed to facilitate various hair-related applications. Unlike previous work that jointly models the global…
Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations
Mohammed Baharoon, Jonathan Klein, Dominik L. Michels
Vision-language contrastive learning frameworks such as CLIP enable learning representations from natural language supervision and provide strong zero-shot classification capabilit…
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…
HYVE: Hybrid Vertex Encoder for Neural Distance Fields
Stefan Rhys Jeske, Jonathan Klein, Dominik L. Michels +1
Neural shape representation generally refers to representing 3D geometry using neural networks, e.g., computing a signed distance or occupancy value at a specific spatial position.…