supported by“Pioneer”and“Leading Goose”R&D Program of Zhejiang(No.2023C01181);supported by National Natural Science Foundation of China(No.62302134);Zhejiang Provincial Natural Science Foundation(No.LQ24F020031);supported by Information Technology Center and State Key Lab of CAD&CG,Zhejiang University.
In this study,we propose a novel method to reconstruct the 3D shapes of transparent objects using images captured by handheld cameras under natural lighting conditions.It combines the advantages of an explicit mesh an...
supported by National Natural Science Foundation of China(Grant Nos.61561146393 and61521002);supported by a Victoria Early-Career Research Excellence Award。
We propose a novel end-to-end deep learning framework, the Joint Matting Network(JMNet), to automatically generate alpha mattes for human images.We utilize the intrinsic structures of the human body as seen in images ...
supported by the National HighTech R&D Program of China (Project No. 2012AA011903);the National Natural Science Foundation of China (Project No. 61373069);the Research Grant of Beijing Higher Institution Engineering Research Center;Tsinghua–Tencent Joint Laboratory for Internet Innovation Technology
In this paper we present a novel automatic background substitution approach for live video. The objective of background substitution is to extract the foreground from the input video and then combine it with a new bac...