S
Sing Bing Kang
Researcher at Microsoft
Publications - 293
Citations - 22167
Sing Bing Kang is an academic researcher from Microsoft. The author has contributed to research in topics: Pixel & Rendering (computer graphics). The author has an hindex of 77, co-authored 286 publications receiving 20672 citations. Previous affiliations of Sing Bing Kang include Australian National University & ShanghaiTech University.
Papers
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Journal ArticleDOI
High-quality video view interpolation using a layered representation
TL;DR: This paper shows how high-quality video-based rendering of dynamic scenes can be accomplished using multiple synchronized video streams combined with novel image-based modeling and rendering algorithms, and develops a novel temporal two-layer compressed representation that handles matting.
Proceedings ArticleDOI
High dynamic range video
TL;DR: This paper describes the approach to generate high dynamic range (HDR) video from an image sequence of a dynamic scene captured while rapidly varying the exposure of each frame, and how to compensate for scene and camera movement when creating an HDR still from a series of bracketed still photographs.
Proceedings ArticleDOI
Holoportation: Virtual 3D Teleportation in Real-time
Sergio Orts-Escolano,Christoph Rhemann,Sean Fanello,Wayne Chang,Adarsh Kowdle,Yury Degtyarev,David Kim,Philip Davidson,Sameh Khamis,Mingsong Dou,Vladimir Tankovich,Charles Loop,Qin Cai,Philip A. Chou,Sarah Mennicken,Julien Valentin,Vivek Pradeep,Shenlong Wang,Sing Bing Kang,Pushmeet Kohli,Yuliya Lutchyn,Cem Keskin,Shahram Izadi +22 more
TL;DR: This paper demonstrates high-quality, real-time 3D reconstructions of an entire space, including people, furniture and objects, using a set of new depth cameras, and allows users wearing virtual or augmented reality displays to see, hear and interact with remote participants in 3D, almost as if they were present in the same physical space.
Journal ArticleDOI
Automatic Estimation and Removal of Noise from a Single Image
TL;DR: A unified framework for automatic estimation and removal of color noise from a single image using piecewise smooth image models is proposed and an upper bound of the real NLF is estimated by fitting a lower envelope to the standard deviations of per-segment image variances.
Proceedings ArticleDOI
Review of image-based rendering techniques
Heung-Yeung Shum,Sing Bing Kang +1 more
TL;DR: The continuum between images and geometry used in image-based rendering techniques suggests that image- based rendering with traditional 3D graphics can be united in a joint image and geometry space.