3D Dense Shape Correspondence
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Benchmarks
SHREC'19
Most implemented
Learning elementary structures for 3D shape generation and matching
Correspondence Learning via Linearly-invariant Embedding
Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features
SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence
ROCA: Robust CAD Model Retrieval and Alignment from a Single Image
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction
Papers
Unsupervised Template-assisted Point Cloud Shape Correspondence Network
Unsupervised point cloud shape correspondence aims to establish point-wise correspondences between source and target point clouds. Existing methods obtain correspondences directly by computing point-wise feature similari…
3D Dense Shape CorrespondenceDiffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features
We present Diff3F as a simple, robust, and class-agnostic feature descriptor that can be computed for untextured input shapes (meshes or point clouds). Our method distills diffusion features from image foundational model…
3D Dense Shape Correspondence3D Part SegmentationSE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence
Unsupervised point cloud shape correspondence aims to obtain dense point-to-point correspondences between point clouds without manually annotated pairs. However, humans and some animals have bilateral symmetry and variou…
3D Dense Shape CorrespondenceAnisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence
This paper studies 3D dense shape correspondence, a key shape analysis application in computer vision and graphics. We introduce a novel hybrid geometric deep learning-based model that learns geometrically meaningful and…
3D Dense Shape CorrespondenceROCA: Robust CAD Model Retrieval and Alignment from a Single Image
We present ROCA, a novel end-to-end approach that retrieves and aligns 3D CAD models from a shape database to a single input image. This enables 3D perception of an observed scene from a 2D RGB observation, characterized…
3D Dense Shape Correspondence3D Object Detection From Monocular Images3D Object Retrieval3D Shape Reconstruction From A Single 2D ImageDPC: Unsupervised Deep Point Correspondence via Cross and Self Construction
We present a new method for real-time non-rigid dense correspondence between point clouds based on structured shape construction. Our method, termed Deep Point Correspondence (DPC), requires a fraction of the training da…
3D Dense Shape CorrespondenceDecoder