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Found 4 papers, 3 papers with code
SketchCleanNet -- A deep learning approach to the enhancement and correction of query sketches for a 3D CAD model retrieval system
This network takes the defective query sketch as the input and generates a clean or an enhanced query sketch.
A Convolutional Neural Network Approach to the Classification of Engineering Models
using deep networks as well as other network architectures on the CADNET.
'CADSketchNet' -- An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks
Using the sketch images from this dataset, the paper also aims at evaluating the performance of various retrieval system or a search engine for 3D CAD models that accepts a sketch image as the input query.
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database.
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