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Demo Face Filters

List of Facer AR SDK Demo Face Filters and technologies represented with them.

Face AR SDK release archives are supplied with a minimum built-in number of face filter (effects), all other Demo effects can be downloaded from this page.

Legend#

  • Online / Offline - Online face filters can be applied both for realtime work and photo. Offline face filters are designed to work only with photos (offline mode).
  • Yes* - Face filter can work in online mode, however, its performance can be lower on mid-end and low-end devices due to neural network usage.
  • Click on filter name to download the effect.
Filter NameTechnologies representedOnlineFilter Icon
0003_cu_Spider1_v3_b1Animation, TriggersYes
ActionunitsGroutAction units with blendshapes in the Mask, 3D maskYes
Afro3D maskYes
BulldogHarlamovTransfer of facial expressions to the 3D model, 3D MaskYes
BurningMan2018Retouch, 3D MaskYes
CartoonOctopusAnimation, TriggersYes
CubemapEverestBackground segmentation neural network, 3D environment cubemap texture, 3D Mask
Face filter performance can be lower on mid-end and low-end devices due to neural network usage.
Yes
GlassesVirtual glasses try-onYes
MonsterFactory3D Mask, PhysicsYes
PineappleGlassesBackground segmentation neural network, Animated texture, 3D Mask
Face filter performance can be lower on mid-end and low-end devices due to neural network usage.
Yes
PoliceManMorphing, 3D MaskYes
RorschachBackground segmentation neural network, Animated texture,3D Mask
Face filter performance can be lower on mid-end and low-end devices due to neural network usage.
Yes
SkydiverAnimated texture,3D MaskYes
test_HairHair segmentation neural network
Face filter performance can be lower on mid-end and low-end devices due to neural network usage.
Yes
test_LipsLips segmentation neural network
Face filter performance can be lower on mid-end and low-end devices due to neural network usage.
Yes
test_Lips_glitterGlitter lipstick effect, lips segmentation neural network
Face filter performance can be lower on mid-end and low-end devices due to neural network usage.
Yes
test_Lips_shineShiny lipstick effect, lips segmentation neural network
Face filter performance can be lower on mid-end and low-end devices due to neural network usage.
Yes
nn_apiEffect with API for testing multiple neural networks work at the same time: Lips, Hair, Background, Hair and Skin
Face filter performance can be lower on mid-end and low-end devices due to neural network usage.
Yes
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