Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Matthew Tancik"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198359
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::133c6bb7406bb663d86c83456bdbb814
https://doi.org/10.1007/978-3-031-19836-6_41
https://doi.org/10.1007/978-3-031-19836-6_41
Autor:
Ren Ng, Matthew Tancik, Jonathan T. Barron, Ben Mildenhall, Pratul P. Srinivasan, Divi Schmidt, Terrance Wang
Publikováno v:
CVPR
Coordinate-based neural representations have shown significant promise as an alternative to discrete, array-based representations for complex low dimensional signals. However, optimizing a coordinate-based network from randomly initialized weights fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e2e0427ea5f23812b9a0c4f550b9b6d
https://doi.org/10.1109/cvpr46437.2021.00287
https://doi.org/10.1109/cvpr46437.2021.00287
Autor:
Adrià Recasens, Frédo Durand, Sami Alsheikh, Hanspeter Pfister, Matthew Tancik, Aude Oliva, Carolina Nobre, Zoya Bylinskii, Kimberli Zhong, Spandan Madan
Publikováno v:
PacificVis
Widely used in news, business, and educational media, infographics are handcrafted to effectively communicate messages about complex and often abstract topics including ‘ways to conserve the environment’ and ‘coronavirus prevention’. The comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba35951fc76996195dd4c1d966521058
https://doi.org/10.1109/pacificvis52677.2021.00012
https://doi.org/10.1109/pacificvis52677.2021.00012
Publikováno v:
CVPR
We propose pixelNeRF, a learning framework that predicts a continuous neural scene representation conditioned on one or few input images. The existing approach for constructing neural radiance fields involves optimizing the representation to every sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::372de36be2c3200f7a80ce2078e0052d
http://arxiv.org/abs/2012.02190
http://arxiv.org/abs/2012.02190
Autor:
Zoya Bylinskii, Barry A. McNamara, Anelise Newman, Camilo Fosco, Nam Wook Kim, Pat Sukhum, Matthew Tancik, Yun Bin Zhang
Publikováno v:
CHI
Eye movements provide insight into what parts of an image a viewer finds most salient, interesting, or relevant to the task at hand. Unfortunately, eye tracking data, a commonly-used proxy for attention, is cumbersome to collect. Here we explore an a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9b30a9a651e21f2a3449dcf26c0ee9d
http://arxiv.org/abs/2001.04461
http://arxiv.org/abs/2001.04461
Autor:
Matthew Tancik, Noah Snavely, Jonathan T. Barron, Ben Mildenhall, Pratul P. Srinivasan, Richard Tucker
Publikováno v:
CVPR
We present a deep learning solution for estimating the incident illumination at any 3D location within a scene from an input narrow-baseline stereo image pair. Previous approaches for predicting global illumination from images either predict just a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e29a376f070e308e6161c57796219090
Autor:
Ben Mildenhall, Matthew Tancik, Pratul P. Srinivasan, Ren Ng, Jonathan T. Barron, Ravi Ramamoorthi
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030584511
ECCV (1)
ECCV (1)
We present a method that achieves state-of-the-art results for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views. Our algorithm represents a scene using a ful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a33bbdc3d337d024b4796e8d5303b4a0
https://doi.org/10.1007/978-3-030-58452-8_24
https://doi.org/10.1007/978-3-030-58452-8_24
Publikováno v:
Nature Photonics. 12:560-566
Ultrafast sensors and depth cameras are key enablers for imaging through complex geometries, through scattering, and beyond the line of sight. However, despite accelerating advances in imaging electronics and imaging applications, the optics of such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::960c8467efa5738e3e9821a3e698ebfb
https://doi.org/10.1038/s41566-018-0234-0
https://doi.org/10.1038/s41566-018-0234-0
Publikováno v:
MIT web domain
Lensless imaging is an important and challenging problem. One notable solution to lensless imaging is a single pixel camera which benefits from ideas central to compressive sampling. However, traditional single pixel cameras require many illumination
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94ad568e35834313e32f8ccf741a7223
https://doi.org/10.1109/tci.2017.2684624
https://doi.org/10.1109/tci.2017.2684624
Publikováno v:
CVPR
Printed and digitally displayed photos have the ability to hide imperceptible digital data that can be accessed through internet-connected imaging systems. Another way to think about this is physical photographs that have unique QR codes invisibly em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34ee202ed78eb92816f37966f272b19f