Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Inbar Mosseri"'
Autor:
Yotam Nitzan, Kfir Aberman, Orly Liba, Qiurui He, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch, Daniel Cohen-Or
Publikováno v:
ACM SIGGRAPH 2022 Posters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2480f7a50f63b30378b02e99a70547c9
https://doi.org/10.1145/3532719.3543215
https://doi.org/10.1145/3532719.3543215
Autor:
Yotam Nitzan, Kfir Aberman, Qiurui He, Orly Liba, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch, Daniel Cohen-Or
We introduce MyStyle, a personalized deep generative prior trained with a few shots of an individual. MyStyle allows to reconstruct, enhance and edit images of a specific person, such that the output is faithful to the person's key facial characteris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4daba7b3fabb19a866fb8cfeaebeab45
http://arxiv.org/abs/2203.17272
http://arxiv.org/abs/2203.17272
Autor:
Ron Mokady, Omer Tov, Michal Yarom, Oran Lang, Inbar Mosseri, Tali Dekel, Daniel Cohen-Or, Michal Irani
StyleGAN is known to produce high-fidelity images, while also offering unprecedented semantic editing. However, these fascinating abilities have been demonstrated only on a limited set of datasets, which are usually structurally aligned and well cura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9310d58eb5ed6de216c82b939994709a
Autor:
Assaf Shocher, Yossi Gandelsman, Michal Yarom, Inbar Mosseri, William T. Freeman, Michal Irani, Tali Dekel
Publikováno v:
CVPR
We present a novel GAN-based model that utilizes the space of deep features learned by a pre-trained classification model. Inspired by classical image pyramid representations, we construct our model as a Semantic Generation Pyramid -- a hierarchical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53aa51aa8c1e9f0f65d548a4464da1ec
https://doi.org/10.1109/cvpr42600.2020.00748
https://doi.org/10.1109/cvpr42600.2020.00748
Autor:
Stephan Gouws, Forrester Cole, Kevin Murphy, Fred Bertsch, Amelie Royer, Inbar Mosseri, Konstantinos Bousmalis
Publikováno v:
Domain Adaptation for Visual Understanding ISBN: 9783030306700
Domain Adaptation for Visual Understanding
Domain Adaptation for Visual Understanding
Image translation refers to the task of mapping images from a visual domain to another. Given two unpaired collections of images, we aim to learn a mapping between the corpus-level style of each collection, while preserving semantic content shared ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca3ad0f78c2ca63af4aa0bd05c414f29
https://doi.org/10.1007/978-3-030-30671-7_3
https://doi.org/10.1007/978-3-030-30671-7_3
Autor:
Tali Dekel, Sagie Benaim, Ariel Ephrat, Michal Irani, Inbar Mosseri, Oran Lang, William T. Freeman, Michael Rubinstein
Publikováno v:
CVPR
We wish to automatically predict the "speediness" of moving objects in videos---whether they move faster, at, or slower than their "natural" speed. The core component in our approach is SpeedNet---a novel deep network trained to detect if a video is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::884b1a11f1fe8fdd58d7c3bc167dc7e5
Autor:
William T. Freeman, Changil Kim, Tae-Hyun Oh, Wojciech Matusik, Inbar Mosseri, Michael Rubinstein, Tali Dekel
Publikováno v:
CVPR
arXiv
arXiv
How much can we infer about a person's looks from the way they speak? In this paper, we study the task of reconstructing a facial image of a person from a short audio recording of that person speaking. We design and train a deep neural network to per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9efbd0b1b021fd55cf2343bff45a275d
http://arxiv.org/abs/1905.09773
http://arxiv.org/abs/1905.09773
Autor:
Avinatan Hassidim, Michael Rubinstein, Kevin W. Wilson, Ariel Ephrat, Tali Dekel, William T. Freeman, Inbar Mosseri, Oran Lang
We present a joint audio-visual model for isolating a single speech signal from a mixture of sounds such as other speakers and background noise. Solving this task using only audio as input is extremely challenging and does not provide an association
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6272803bd390203f56b5a3a49660736e
http://arxiv.org/abs/1804.03619
http://arxiv.org/abs/1804.03619
Autor:
Aaron Sarna, David Belanger, Inbar Mosseri, Forrester Cole, William T. Freeman, Dilip Krishnan
Publikováno v:
CVPR
arXiv
arXiv
© 2017 IEEE. We present a method for synthesizing a frontal, neutralexpression image of a person's face given an input face photograph. This is achieved by learning to generate facial landmarks and textures from features extracted from a facial-reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b43112537f6633f5560ee150a9183cf9
https://doi.org/10.1109/cvpr.2017.361
https://doi.org/10.1109/cvpr.2017.361
Publikováno v:
CVPR
Recurrence of small clean image patches across different scales of a natural image has been successfully used for solving ill-posed problems in clean images (e.g., super-resolution from a single image). In this paper we show how this multi-scale prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39e29732c039df4bb220248b13f8003f
https://doi.org/10.1109/cvpr.2013.158
https://doi.org/10.1109/cvpr.2013.158