Media Summary: Short overview of the paper "Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Universal 3D Shape Matching via Coarse-to-Fine Language Guidance - CVPR 2026 On benchmark datasets, the proposed approach significantly outperforms extensions to
Isometric Multi Shape Matching Cvpr2021 - Detailed Analysis & Overview
Short overview of the paper "Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Universal 3D Shape Matching via Coarse-to-Fine Language Guidance - CVPR 2026 On benchmark datasets, the proposed approach significantly outperforms extensions to CVPR 24 main conference paper (highlight) Xiran Wang term project for CMU 15-112 Fall 2018. presentation for the ICCV 2021 paper "MVTN:
Authors: Paul Roetzer, Zorah Lähner, Florian Bernard.
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