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20182022
most citedDetailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function

1 citations · 1 across the 3 of their papers we have counts for

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cs.CV2022

Migrating Face Swap to Mobile Devices: A lightweight Framework and A Supervised Training Solution

Haiming Yu, Hao Zhu, Xiangju Lu +1

Existing face swap methods rely heavily on large-scale networks for adequate capacity to generate visually plausible results, which inhibits its applications on resource-constraint…

cs.CV2022★ 1 cited

Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function

Yunze Xiao, Hao Zhu, Haotian Yang +3

Recovering detailed facial geometry from a set of calibrated multi-view images is valuable for its wide range of applications. Traditional multi-view stereo (MVS) methods adopt an…