Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Chloe LeGendre"'
Autor:
Sofien Bouaziz, Paul Debevec, Chloe LeGendre, Sergio Orts-Escolano, Rohit Pandey, Christoph Rhemann, Sean Fanello, Christian Häne
Publikováno v:
ACM Transactions on Graphics. 40:1-21
We propose a novel system for portrait relighting and background replacement, which maintains high-frequency boundary details and accurately synthesizes the subject's appearance as lit by novel illumination, thereby producing realistic composite imag
Autor:
Andrea Weidlich, Chloe LeGendre, Carlos Aliaga, Christophe Hery, Jean-Marie Aubry, Jiří Vorba, Daniele Siragusano, Richard Kirk
Publikováno v:
ACM SIGGRAPH 2022 Courses.
While the LED panels used in virtual production systems can display vibrant imagery with a wide color gamut, they produce problematic color shifts when used as lighting due to their peaky spectral output from narrow-band red, green, and blue LEDs. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::778a31fc721c8146426d036a32358d94
Autor:
Paul Debevec, Chloe LeGendre
We present a technique to reduce the dynamic range of an HDRI lighting environment map in an efficient, energy-preserving manner by spreading out the light of concentrated light sources. This allows us to display a reasonable approximation of the ill
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13762bf07fe99c7e013eaeac7001f835
Autor:
Chloe LeGendre, Wan-Chun Ma, Peter Barnum, Christian Theobalt, Philip Davidson, Abhimitra Meka, Christoph Rhemann, Thabo Beeler, Jonathan Taylor, Paul Debevec, Sergio Orts-Escolano, Sofien Bouaziz, Sean Fanello, Rohit Pandey, Daniel Erickson, Ryan Overbeck, Yinda Zhang, Christian Häne, Shahram Izadi
Publikováno v:
ACM Transactions on Graphics
Proceedings of ACM SIGGRAPH Asia 2020
Proceedings of ACM SIGGRAPH Asia 2020
The increasing demand for 3D content in augmented and virtual reality has motivated the development of volumetric performance capture systemsnsuch as the Light Stage. Recent advances are pushing free viewpoint relightable videos of dynamic human perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d1e85fea427b5a90652989a0c2db342
https://hdl.handle.net/21.11116/0000-0007-A6FA-421.11116/0000-0008-9DC9-5
https://hdl.handle.net/21.11116/0000-0007-A6FA-421.11116/0000-0008-9DC9-5
Autor:
Chloe LeGendre, Yajie Zhao, Hao Li, Tianye Li, Ari Shapiro, Weikai Chen, Zeng Huang, Xinglei Ren
Publikováno v:
ICCV
Near-range portrait photographs often contain perspective distortion artifacts that bias human perception and challenge both facial recognition and reconstruction techniques. We present the first deep learning based approach to remove such artifacts
Publikováno v:
Color and Imaging Conference. 24:47-58
Autor:
Graham Fyffe, Paul Debevec, Jay Busch, Wan-Chun Ma, Laurent Charbonnel, John Flynn, Chloe LeGendre
Publikováno v:
SIGGRAPH Talks
CVPR
CVPR
We present a learning-based method to infer plausible high dynamic range (HDR), omnidirectional illumination given an unconstrained, low dynamic range (LDR) image from a mobile phone camera with a limited field of view (FOV). For training data, we co
Autor:
Xueming Yu, Andrew Jones, Chloe LeGendre, Jay Busch, Sumanta Pattanaik, Paul Debevec, Dai Liu
Publikováno v:
ACM Transactions on Graphics. 35:1-11
We present a practical framework for reproducing omnidirectional incident illumination conditions with complex spectra using a light stage with multispectral LED lights. For lighting acquisition, we augment standard RGB panoramic photography with one
Publikováno v:
SIGGRAPH Posters
We propose a variant to polarized gradient illumination facial scanning which uses monochrome instead of color cameras to achieve more efficient and higher-resolution results. In typical polarized gradient facial scanning, sub-millimeter geometric de