Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yuval, Nirkin"'
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:6111-6121
We propose a method for detecting face swapping and other identity manipulations in single images. Face swapping methods, such as DeepFake, manipulate the face region, aiming to adjust the face to the appearance of its context, while leaving the cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0e7009804402dd1d74591f74f03348b
https://doi.org/10.1109/tpami.2021.3093446
https://doi.org/10.1109/tpami.2021.3093446
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence.
We present Face Swapping GAN (FSGAN) for face swapping and reenactment. Unlike previous work, we offer a subject agnostic swapping scheme that can be applied to pairs of faces without requiring training using those faces. We derive a novel iterative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::1192df62b73bc1b05e8da17c90db9ee4
https://pubmed.ncbi.nlm.nih.gov/35471874
https://pubmed.ncbi.nlm.nih.gov/35471874
Publikováno v:
CVPR
We present a novel, real-time, semantic segmentation network in which the encoder both encodes and generates the parameters (weights) of the decoder. Furthermore, to allow maximal adaptivity, the weights at each decoder block vary spatially. For this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbd8bbb7ee2d5bd5293a1e386890c7cf
https://doi.org/10.1109/cvpr46437.2021.00405
https://doi.org/10.1109/cvpr46437.2021.00405
Publikováno v:
Advances in Computer Vision and Pattern Recognition ISBN: 9783030746964
Face swapping refers to the task of changing the appearance of a face appearing in an image by replacing it with the appearance of a face taken from another image, in an effort to produce an authentic-looking result. We describe a method for face swa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f6837a6538d74dbb148cacee35259c3
https://doi.org/10.1007/978-3-030-74697-1_2
https://doi.org/10.1007/978-3-030-74697-1_2
Publikováno v:
ICCV
We present Face Swapping GAN (FSGAN) for face swapping and reenactment. Unlike previous work, FSGAN is subject agnostic and can be applied to pairs of faces without requiring training on those faces. To this end, we describe a number of technical con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11453e6bcfd964ae3a074c7dd5eccf0c
https://doi.org/10.1109/iccv.2019.00728
https://doi.org/10.1109/iccv.2019.00728
Publikováno v:
FG
We show that even when face images are unconstrained and arbitrarily paired, face swapping between them is actually quite simple. To this end, we make the following contributions. (a) Instead of tailoring systems for face segmentation, as others prev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e19403dffe044ce962d0b361842050c
https://doi.org/10.1109/fg.2018.00024
https://doi.org/10.1109/fg.2018.00024
Publikováno v:
CVPR
Existing single view, 3D face reconstruction methods can produce beautifully detailed 3D results, but typically only for near frontal, unobstructed viewpoints. We describe a system designed to provide detailed 3D reconstructions of faces viewed under
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd6bb750f996a9a7f6a5578dcdb8a3d6