conftrace_

functional map

33 papers

Explore in graph

Also known as

FM

Co-occurring keywords

shape matching (65) shape correspondence (55) 3d shape (96) spectral analysis (239) 3d vision (1098) point cloud (1480) unsupervised learning (3264) 3d shape correspondence (10) geometric deep learning (117) 3d shape matching (18)

Papers

MDND: Unsupervised Learning Guided by Non-Differentiable Refinement for Shape Correspondence AAAI 2026
Unsupervised Contrastive Learning for Efficient and Robust Spectral Shape Matching AAAI 2026
Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence CVPR 2025
DiffuMatch: Category-Agnostic Spectral Diffusion Priors for Robust Non-rigid Shape Matching ICCV 2025
Multi-Shape Matching with Cycle Consistency Basis via Functional Maps AAAI 2025
EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection CVPR 2025
Denoising Functional Maps: Diffusion Models for Shape Correspondence CVPR 2025
Latent Functional Maps: a spectral framework for representation alignment NIPS 2024
Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning CVPR 2024
Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation CVPR 2024
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching CVPR 2024
Locality Preserving Refinement for Shape Matching with Functional Maps AAAI 2024
Memory-Scalable and Simplified Functional Map Learning CVPR 2024
Leveraging Intrinsic Properties for Non-Rigid Garment Alignment ICCV 2023
Understanding and Improving Features Learned in Deep Functional Maps CVPR 2023
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching CVPR 2023
Non-Rigid Shape Registration via Deep Functional Maps Prior NIPS 2023
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction NIPS 2023
Spatially and Spectrally Consistent Deep Functional Maps ICCV 2023
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching NIPS 2022
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching CVPR 2022
Efficient Deformable Shape Correspondence via Multiscale Spectral Manifold Wavelets Preservation CVPR 2021
Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps CVPR 2021
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence CVPR 2020
Weakly Supervised Deep Functional Maps for Shape Matching NIPS 2020