Vienna (Austria), September 4th 2026
All times are given in Central European Summer Time (CEST).
Carlos Eduardo Cancino-Chacón (CP JKU): Towards Computational Piano Rehearsal Analysis: The Rach3 Project
Evaluating General-Purpose Vision-Language Models on Music Score Images by Noelia Luna-Barahona, Antonio Ríos-Vila, Andrea García Torres, José M. Iñesta, Jorge Calvo-Zaragoza, and David Rizo
Impact of BPE-based Melodic Units in Optical Music Recognition by Aitana Menárguez-Box, Enrique Vidal, and Alejandro H. Toselli
Towards a Unified Model for Recognising Diastematic Gregorian Notation by Daniel Kurek and Jan Hajič jr.
MuSViT: A Foundation Vision Model for Sheet Music Representation (non-archival track) by Carlos Penarrubia, Antonio Rios-Vila, Eliseo Fuentes-Martinez, Juan C. Martinez-Sevilla, Francisco J. Castellanos, María Alfaro-Contreras, Jorge Calvo-Zaragoza
The Music Notation Graph (MuNG) Ecosystem 2.0: Ready for Production by Jiří Mayer, Vojtěch Dvořák, Martina Dvořáková,Markéta Herzánová Vlková, and Jan Hajič jr.
Completing Music Notation Datasets for Multimodal Learning: Conversion Pipelines and Fusion Baselines by Antonio Hidalgo-Centeno, Daniel Espinosa-Canovas, Josmar Suarez, Alejandro Galan-Cuenca, and Antonio Javier Gallego
A Novel Dataset and Framework for Schenkerian Optical Music Recognition (non-archival track) by Stephen Hahn, Yixuan Huang, Nathan Lowe, Isis Cabrera, Simon Mak, Yue Jiang, and Cynthia Rudin
The Optical Music Recognition Bibliography 2.0 by Alexander Pacha
This is actually the most important part of the workshop (no. 1)!
"What do we need?" Evaluation, data formats, standards, the omr-research website & github, ...
Next WoRMS
Maybe we do a little best paper award
Optical Music Generation: Leveraging Off-The-Shelf Diffusion Models to Synthesise Handwritten Scores by Pau Torras, Vittorio Pippi, Fabio Quattrini, Gerard Asbert, Silvia Cascianelli, Rita Cucchiara, and Alicia Fornés
Data-Driven Glyph Positioning for Handwritten Music Synthesis by Elona Shatri, Jiří Mayer, and Jan Hajič jr.
One-shot Handwritten Music Generation with Spiking Neural Networks by Aksel Serret-Llopis, Marc Pomar-Pallarès, Gerard Asbert, Pau Torras, Alicia Fornés, and Xavier Otazu
DEMUN: Fast and Accurate Discovery of Music Notation in Very Large Collections by Vojtěch Dvořák, Filip Bím, Jiří Mayer, Martina Dvořáková, Markéta Herzánová Vlková, Pavel Pecina, Petr Žabička, and Jan Hajič, jr.
PixelSmart: An AI-Powered Pixel-Level Annotation Tool for Active Learning in Music Document Analysis by Carlos Pérez-Sancho, Alejandro Galan-Cuenca, Juan P. Martinez-Esteso, Francisco J. Castellanos, and Antonio Javier Gallego
A Low-Resource Template-Matching Baseline for Handwritten Pianoform OMR (non-archival track) by Igor Sok, Matija Marolt, Nejc Sukljan, and Matevž Pesek
Interpreting and Encoding the Melodic Variability: The Case of Latvian Traditional Recitatives (non-archival track) by Davis Engelis and Ieva Weaver
Future work, planning collaborations, etc.
This is actually the most important part of the workshop (no. 2)!