【学术会议】SketchAShape: Sketch-based Freeform Surface Modeling - Mr. Changjian Li
主题: SketchAShape: Sketch-based Freeform Surface Modeling
报告人: Mr. Changjian Li, The University of Hong Kong
时间: 14:00 pm - 15:00 pm, Wednesday, July 17, 2019
地点: Boardroom, Dao Yuan Building
Sketching provides an intuitive user interface for communicating freeform shapes. While human observers can easily envision the shapes they intend to communicate, replicating this process algorithmically requires resolving numerous ambiguities. To alleviate the challenges, two approaches are presented to model high-quality 3D shapes from user 2D sketches faithfully and effectively.
A novel approach, called BendSketch, is first presented which takes input user annotated sketches and predicts the freeform surface by exploiting geometric optimizations. Then a data-driven method, called SketchCNN is presented for modeling generic freeform 3D surfaces from sparse, expressive 2D sketches by incorporating convolutional neural network (CNN) into the sketch processing workflow. Both the non-learning and learning based methods have a great ability to model high-quality freeform shapes making use of the proposed multi-view sketching pipeline. We validate our approaches, compare it with previous methods, and evaluate its performance with various modeling tasks. The results demonstrate our methods are new approaches for efficiently modeling freeform shapes with expressive 2D sketches.
Mr. Changjian Li is a final year Ph.D student in the Graphics lab of the University of Hong Kong, supervised by Prof. Wenping Wang. Before he joined the Graphics lab, he got his Bachelor's degree from Shandong University in 2014. He has a great passion for working on Graphics and Vision research problems exploiting advanced deep learning techniques. He has a broad range of research interests including machine learning and artificial intelligence, medical image processing, shape modeling, geometry processing, 3D vision, and interface design. During his Ph.D. period, he visited Microsoft Research Asia many times working on some SIGGRAPH projects and he has published several SIGGRAPH and CVPR papers (see his personal page for details: https://enigma-li.github.io/).