Noam Aigerman
(pronounced "Noh-uhm", like Noah with an M at the end.)
Room 3359,
André-Aisenstadt building,
C.P. 6128, succ. Centre-Ville,
Montréal, Québec, Canada H3C 3J7
C.P. 6128, succ. Centre-Ville,
Montréal, Québec, Canada H3C 3J7
I work on problems related to machine learning and 3D geometry. My research lies at the intersection of geometry processing, deep learning, and optimization, with applications in 3D vision and computer graphics. Currently, I mostly focus on using geometry processing to devise thoeretically-grounded machine learning approaches for 3D problems; and, vice-versa, approaching geometry processing tasks from a machine learning perspective.

Group
(PhD, 2024 - )
(MSc, 2024 - )
Martin El Mqirmi
(MSc, 2024 - )
Thomas Peschlow
(MSc, 2025 - )
Hongshuo Min
(Undergraduate Intern, 2025)
Teaching
Upcomig:
(fall 2025)
Past:
(winter 2025)
(winter 2025)
(winter 2024)
Publications
 
(hover over a project's image for a one-sentence summary)

Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects
CVPR 2025

MeshUp: Multi-Target Mesh Deformation via Blended Score Distillation
3DV 2025 (Oral)

Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases

MagicClay: Sculpting Meshes With Generative Neural Fields
ACM SIGGRAPH Asia 2024

DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement
ECCV 2024

Temporal Residual Jacobians for Rig-free Motion Transfer
ECCV 2024



Neural Semantic Surface Maps
Computer Graphics Forum (Eurographics 2024)

Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models
ACM SIGGRAPH Asia 2023

TextDeformer: Geometry Manipulation using Text Guidance
ACM SIGGRAPH 2023

Neural Face Rigging for Animating and Retargeting Facial Meshes in the Wild
ACM SIGGRAPH 2023

Neural Progressive Meshes
ACM SIGGRAPH 2023

DA Wand: Distortion-Aware Selection using Neural Mesh Parameterization
CVPR 2023


Isometric Energies for Recovering Injectivity in Constrained Mapping
ACM SIGGRAPH Asia 2022

PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation

Learning Joint Surface Atlases

Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes


Neural Convolutional Surfaces
CVPR 2022

GLASS: Geometric Latent Augmentation for Shape Spaces
CVPR 2022


Optimizing Global Injectivity for Constrained Parameterization
ACM SIGGRAPH ASIA 2021


Swept Volumes via Spacetime Numerical Continuation
ACM SIGGRAPH 2021


Neural Surface Maps
CVPR 2021

Learning Delaunay Surface Elements for Mesh Reconstruction
CVPR 2021 (oral)

Joint Learning of 3D Shape Retrieval and Deformation
CVPR 2021

Developability of Heightfields via Rank Minimization
ACM SIGGRAPH 2020


Lifting Simplices to Find Injectivity
ACM SIGGRAPH 2020

Neural Cages for Detail-Preserving 3D Deformations
CVPR 2020 (oral)

Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling
ECCV 2020


Convolutional Neural Networks on Surfaces via Seamless Toric Covers



Large Scale Bounded Distortion Mappings
ACM SIGGRAPH Asia 2015



Controlling Singular Values with Semidefinite Programming
ACM SIGGRAPH 2014

Injective and Bounded Distortion Mappings in 3D
ACM SIGGRAPH 2013