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cs.CV2026

SynGallery: A Synthetic Gallery of Real Paintings for Instance-Level Artwork Recognition

Patryk Bartkowiak, Jakub Markil, Bartosz Kotrys +4

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

SADGE: Structure and Appearance Domain Gap Estimation of Synthetic and Real Data

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…

cs.CV2025

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…