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Recently, sketch-based 3D shape retrieval has received growing attention in the community of computer graphics and computer vision. Most previous works focus on the problem of how to reduce the large cross-modality difference between 2D sketch and 3D shape data and make significant progress. Nevertheless, little attention has been paid to another important problem of how to deal with noise in the sketch data. For the first time, this work investigates the problem of noisy sketch data. It firstly provides qualitative and insightful analy
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