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Found 3 papers, 1 papers with code
Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans
We propose Scan2Part, a method to segment individual parts of objects in real-world, noisy indoor RGB-D scans.
Making DensePose fast and light
DensePose estimation task is a significant step forward for enhancing user experience computer vision applications ranging from augmented reality to cloth fitting.
Large-Scale Shape Retrieval with Sparse 3D Convolutional Neural Networks
In this paper we present results of performance evaluation of S3DCNN - a Sparse 3D Convolutional Neural Network - on a large-scale 3D Shape benchmark ModelNet40, and measure how it is impacted by voxel resolution of input shape.
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