Diffusion is All You Need for Learning on Surfaces. - Nicholas Sharp; Souhaib Attaiki; Keenan Crane; Maks Ovsjanikov (CoRR, 2020)

DPFM: Deep Partial Functional Maps. - Souhaib Attaiki; Gautam Pai 001; Maks Ovsjanikov (3DV, 2021)

Why you should learn functional basis. - Riccardo Marin; Souhaib Attaiki; Simone Melzi; Emanuele Rodolà; Maks Ovsjanikov (CoRR, 2021)

SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence. - Lei Li 038; Souhaib Attaiki; Maks Ovsjanikov (3DV, 2022)

NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching. - Souhaib Attaiki; Maks Ovsjanikov (NeurIPS, 2022)

DiffusionNet: Discretization Agnostic Learning on Surfaces. - Nicholas Sharp; Souhaib Attaiki; Keenan Crane; Maks Ovsjanikov (ACM Trans. Graph., 2022)

Generalizable Local Feature Pre-training for Deformable Shape Analysis. - Souhaib Attaiki; Lei Li 038; Maks Ovsjanikov (CVPR, 2023)

Understanding and Improving Features Learned in Deep Functional Maps. - Souhaib Attaiki; Maks Ovsjanikov (CVPR, 2023)

Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction. - Souhaib Attaiki; Maks Ovsjanikov (NeurIPS, 2023)

AtomSurf : Surface Representation for Learning on Protein Structures. - Vincent Mallet; Souhaib Attaiki; Maks Ovsjanikov (CoRR, 2023)

Unsupervised Representation Learning for Diverse Deformable Shape Collections. - Sara Hahner; Souhaib Attaiki; Jochen Garcke; Maks Ovsjanikov (3DV, 2024)

Robust Deep Learning-based Methods for Non-Rigid Shape Correspondence. (Méthodes Robustes Basées sur l'Apprentissage Profond pour la Correspondance de Formes Non Rigides). - Souhaib Attaiki (2024)

AtomSurf: Surface Representation for Learning on Protein Structures. - Vincent Mallet; Yangyang Miao; Souhaib Attaiki; Bruno Correia; Maks Ovsjanikov (ICLR, 2025)

GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space. - Souhaib Attaiki; Paul Guerrero 001; Duygu Ceylan; Niloy J. Mitra; Maks Ovsjanikov (WACV, 2025)