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3D Shape Retrieval

5 papers with code · Computer Vision
Subtask of 3D

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Greatest papers with code

Equivariant Multi-View Networks

1 Apr 2019daniilidis-group/emvn

Several approaches to 3D vision tasks process multiple views of the input independently with deep neural networks pre-trained on natural images, achieving view permutation invariance through a single round of pooling over all views.

3D SHAPE RETRIEVAL SCENE CLASSIFICATION

Triplet-Center Loss for Multi-View 3D Object Retrieval

CVPR 2018 popcornell/keras-triplet-center-loss

Most existing 3D object recognition algorithms focus on leveraging the strong discriminative power of deep learning models with softmax loss for the classification of 3D data, while learning discriminative features with deep metric learning for 3D object retrieval is more or less neglected.

3D OBJECT RECOGNITION 3D OBJECT RETRIEVAL 3D SHAPE RETRIEVAL METRIC LEARNING

Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation

24 Dec 2018zawlin/distangled_pose_shape

We propose a novel approach to jointly perform 3D shape retrieval and pose estimation from monocular images. In order to make the method robust to real-world image variations, e. g. complex textures and backgrounds, we learn an embedding space from 3D data that only includes the relevant information, namely the shape and pose.

3D OBJECT RETRIEVAL 3D SHAPE RETRIEVAL POSE ESTIMATION