The Eurographics 2025 Symposium on 3D Object Retrieval (3DOR) is the dedicated workshop series for methods, applications and benchmark-based evaluation of 3D object retrieval, classification, and similarity-based object processing. In 2025, the 3DOR will be organized as a Symposium with the ambition to attract a larger number of participants. The symposium also includes the 2025 edition of the 3D Shape Retrieval Challenge (SHREC), keynotes, project presentations, and a social and networking event. Accepted full papers will be published in Computers & Graphics Journal (Elsevier), and accepted short papers will appear in the Eurographics Digital Library.
Symposium Chair
Niloy Mitra, University College London and Adobe Research |
Program Chairs
Ioannis Pratikakis, Democritus University of Thrace |
Remco Veltkamp, Utrecht University |
Paul Guerrero, Adobe Research |
Important Dates
April 30, 2025 |
Submission deadline for full papers for review |
May 23, 2025 |
1st review done, first stage decision on acceptance/rejection |
June 13, 2025 |
1st revision due |
June 27, 2025 |
2nd stage of reviews complete, decision on acceptance, rejection, or acceptance as short paper |
July 4, 2025 |
Final version submission |
July 7, 2025 |
Final decision on acceptance or rejection |
August 2025 |
Publication online in Computers & Graphics Journal |
September 4-5, 2025 |
Presentation at the Eurographics 2025 Symposium on 3D Object Retrieval |
Authors are invited to submit original and unpublished research and application papers addressing all areas of 3D/4D Object Retrieval. State-of-the-art papers on specific topics of interest are particularly welcome. Submissions are invited in the form of full papers and short papers. Full papers will be peer-reviewed by a two-stage review process and published as a special section of the Computers & Graphics Journal (Elsevier). Short papers will follow a one-stage review process and will appear in the Eurographics Digital Library.
Suggested topics include, but are not limited to:
§ 3D shape analysis
§ 3D shape similarity and matching
§ 3D mesh sequence retrieval
§ 3D mobile media retrieval
§ 3D search in large scale data
§ 3D object classification, indexing, and mining
§ Similarity of non-rigid shapes
§ Shape correspondence
§ 3D shape decomposition, and segmentation
§ Partial, part-in-whole, and many-to-many matching
§ Matching under uncertainty and noise
§ Semantics-driven 3D object retrieval and classification
§ Sketch-based 3D retrieval
§ Query interfaces and search modalities
§ Benchmarking issues
§ Deep learning for 3D shape retrieval
§ Generative/discriminative approaches in 3D object categorisation
§ Visual Analytics for 3D similarity assessment
§ Applications in all areas relevant to 3D/4D objects, including multimedia and information systems, CAD, architecture, games, biometrics, e-science, e-learning, medicine, biology, and cultural heritage, among others.