Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence. - Nicolas Donati; Abhishek Sharma 013; Maks Ovsjanikov (CVPR, 2020)

Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching. - Nicolas Donati; Etienne Corman; Maks Ovsjanikov (CVPR, 2022)

Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching. - Lei Li 038; Nicolas Donati; Maks Ovsjanikov (NeurIPS, 2022)

Complex Functional Maps: A Conformal Link Between Tangent Bundles. - Nicolas Donati; Etienne Corman; Simone Melzi; Maks Ovsjanikov (Comput. Graph. Forum, 2022)

Robust representations for supervised and unsupervised 3D shape matching. (Représentations robustes pour la mise en correspondence de formes 3D via apprentissage supervisé et non-supervisé). - Nicolas Donati (2023)

Deformation Recovery: Localized Learning for Detail-Preserving Deformations. - Ramana Sundararaman; Nicolas Donati; Simone Melzi; Etienne Corman; Maks Ovsjanikov (ACM Trans. Graph., 2024)