Jingwan (Cynthia) Lu
Jingwan joined Adobe Research in 2014. Her current research interests include deep-learning based image editing and generation, sketch-based search, creative applications for AR and VR, computational photography, data-driven artistic content creation, and other vision, graphics and machine learning topics.
Jingwan shipped RealBrush (collaborated with Stephen DiVerdi) into Adobe Photoshop Sketch in 2016. RealBrush is a generic data-driven brush synthesis model that can be used to simulate natural media brushes, including but not limited to Soft Pastel, Thick Acrylic and Ink Brush. She mentored over 20 interns and contributed to various research projects in graphics, vision and AI. Some of them attracted lots of public attentions for example, Scribbler, VoCo, StyLit, FaceStyle, Playful Palette.
Jingwan received her Ph.D. in computer science from Princeton University. Her PhD work focused on designing algorithms and interfaces for data-driven painting applications, which was published in SIGGRAPH and other conferences. During her PhD, she was awarded Google Research Fellowship and Siebel Scholarship. Before attending Princeton, she received her B.S. in Computer Science and Mathematics from Hong Kong University of Science and Technology (HKUST).