Non-Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities

Abstract
Estimating correspondences between deformed shape instances is a long-standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on the downstream application. This state-of-the-art report is geared towards researchers, practitioners, and students seeking to understand recent trends and advances in the field. We categorise developments into three paradigms: spectral methods based on functional maps, combinatorial formulations that impose discrete constraints, and deformation-based methods that directly recover a global alignment. Each school of thought offers different advantages and disadvantages, which we discuss throughout the report. Meanwhile, we highlight the latest developments in each area and suggest new potential research directions. Finally, we provide an overview of emerging challenges and opportunities in this growing field, including the recent use of vision foundation models for zero-shot correspondence and the particularly challenging task of matching partial shapes.
Description

        
@article{
10.1111:cgf.70397
, journal = {Computer Graphics Forum}, title = {{
Non-Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities
}}, author = {
Zhuravlev, Aleksei
and
Bastian, Lennart
and
Navab, Nassir
and
Cremers, Daniel
and
Bernard, Florian
and
Lähner, Zorah
and
Golyanik, Vladislav
and
Cao, Dongliang
and
El Amrani, Nafie
and
Roetzer, Paul
and
Ehm, Viktoria
and
Marin, Riccardo
and
Nishizawa, Hiroki
and
Morishima, Shigeo
and
Theobalt, Christian
}, year = {
2026
}, publisher = {
The Eurographics Association and John Wiley & Sons Ltd.
}, ISSN = {
1467-8659
}, DOI = {
10.1111/cgf.70397
} }
Citation