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pro vyhledávání: '"Alsisan, Suhib"'
Novel view synthesis from a single image has been a cornerstone problem for many Virtual Reality applications that provide immersive experiences. However, most existing techniques can only synthesize novel views within a limited range of camera motio
Externí odkaz:
http://arxiv.org/abs/2303.17598
Autor:
Wang, Jialiang, Scharstein, Daniel, Bapat, Akash, Blackburn-Matzen, Kevin, Yu, Matthew, Lehman, Jonathan, Alsisan, Suhib, Wang, Yanghan, Tsai, Sam, Frahm, Jan-Michael, He, Zijian, Vajda, Peter, Cohen, Michael F., Uyttendaele, Matt
We present the design of a productionized end-to-end stereo depth sensing system that does pre-processing, online stereo rectification, and stereo depth estimation with a fallback to monocular depth estimation when rectification is unreliable. The ou
Externí odkaz:
http://arxiv.org/abs/2211.10551
Autor:
Kopf, Johannes, Matzen, Kevin, Alsisan, Suhib, Quigley, Ocean, Ge, Francis, Chong, Yangming, Patterson, Josh, Frahm, Jan-Michael, Wu, Shu, Yu, Matthew, Zhang, Peizhao, He, Zijian, Vajda, Peter, Saraf, Ayush, Cohen, Michael
Publikováno v:
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2020), Volume 39, Number 4, 2020
3D photography is a new medium that allows viewers to more fully experience a captured moment. In this work, we refer to a 3D photo as one that displays parallax induced by moving the viewpoint (as opposed to a stereo pair with a fixed viewpoint). 3D
Externí odkaz:
http://arxiv.org/abs/2008.12298
Akademický článek
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