134 citations · 513 across the 41 of their papers we have counts for
5 papers · 1 filter
Sketch-R2CNN: An Attentive Network for Vector Sketch Recognition
Lei Li, Changqing Zou, Youyi Zheng +3
Freehand sketching is a dynamic process where points are sequentially sampled and grouped as strokes for sketch acquisition on electronic devices. To recognize a sketched object, m…
LUCSS: Language-based User-customized Colourization of Scene Sketches
Changqing Zou, Haoran Mo, Ruofei Du +3
We introduce LUCSS, a language-based system for interactive col- orization of scene sketches, based on their semantic understanding. LUCSS is built upon deep neural networks traine…
Fast Sketch Segmentation and Labeling with Deep Learning
Lei Li, Hongbo Fu, Chiew-Lan Tai
We present a simple and efficient method based on deep learning to automatically decompose sketched objects into semantically valid parts. We train a deep neural network to transfe…
Active Object Reconstruction Using a Guided View Planner
Xin Yang, Yuanbo Wang, Yaru Wang +4
Inspired by the recent advance of image-based object reconstruction using deep learning, we present an active reconstruction model using a guided view planner. We aim to reconstruc…
Hatching for 3D prints: line-based halftoning for dual extrusion fused deposition modeling
Tim Kuipers, Willemijn Elkhuizen, Jouke Verlinden +1
This work presents a halftoning technique to manufacture 3D objects with the appearance of continuous grayscale imagery for Fused Deposition Modeling (FDM) printers. While droplet-…