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.
| Filter Name | Technologies represented | Online | Filter Icon | Required packages |
|---|---|---|---|---|
| 0003_cu_Spider1_v3_b1 | Animation, Triggers | Yes |  | face_tracker |
| ActionunitsGrout | Action units with blendshapes in the AR 3D Mask | Yes |  | face_tracker |
| Afro | AR 3D Mask | Yes |  | face_tracker |
| Background_doc | Simple effect that allow to set an image as the Background Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | background |
| blur_bg | Background segmentation neural network, Blur Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | background |
| blur_bg_2 | Background segmentation neural network, Blur using bilateral filter Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | background |
| bokeh | Background segmentation neural network, Bokeh effect | No |  | face_tracker, background |
| BulldogHarlamov | Transfer of facial expressions to the 3D model, AR 3D Mask | Yes |  | face_tracker |
| BurningMan2018 | Retouch, AR 3D Mask | Yes |  | face_tracker |
| CartoonOctopus | Animation, Triggers | Yes |  | face_tracker |
| CubemapEverest | Background segmentation neural network, 3D environment cubemap texture, AR 3D Mask Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | face_tracker, background |
| DebugWireframe | Display face recognition wireframe with landmarks | Yes |  | face_tracker |
| Glasses | Virtual glasses try-on | Yes |  | face_tracker |
| Makeup | Virtual Makeup API effect. See more in Effect API section. Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | See comment below the table* |
| MonsterFactory | AR 3D Mask, Physics | Yes |  | face_tracker |
| nn_api | Effect 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 |  | face_tracker, lips, skin, background, hair |
| PineappleGlasses | Background segmentation neural network, Animated texture, AR 3D Mask Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | face_tracker, background |
| PoliceMan | Morphing, AR 3D Mask | Yes |  | face_tracker |
| Rorschach | Background segmentation neural network, Animated texture, AR 3D Mask Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | face_tracker, background |
| scene_4_faces | Multi-face morphing example | Yes |  | face_tracker |
| Skydiver | Animated texture, AR 3D Mask | Yes |  | face_tracker |
| test_BG | Background segmentation neural network Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | background |
| test_Body | Full body segmentation neural network Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | body |
| test_Eye_lenses | Virtual eye lenses example Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | face_tracker, eyes |
| test_Eyelashes | Effect for eyelashes tracking debug | Yes |  | face_tracker |
| test_Eyes | Eyes segmentation neural network Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | face_tracker, eyes |
| test_gestures | Hand gestures detection example | Yes |  | hands |
| test_Glasses | Glases detection (neural network approach), AR 3D Mask | Yes | | face_tracker, background |
| test_Hair | Hair segmentation neural network Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | hair |
| test_Hair_bound | Hair recoloring in multiple shades, Hair segmentation neural network Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | face_tracker, hair |
| test_Hair_strand | Hair strands recoloring Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | No |  | face_tracker, hair |
| test_HandSkelet | Displays hand skelet model | Yes |  | hands |
| test_heart_rate | Heart rate measurement (Pulse) technology example | Yes |  | face_tracker |
| test_image_process_cartoon | Shader-based image filter | Yes |  | face_tracker |
| test_Lips | Lips segmentation neural network Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | face_tracker, lips |
| test_Lips_glitter | Glitter 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 |  | face_tracker, lips |
| test_Lips_shine | Shiny 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 | | face_tracker, lips |
| test_Nails | Virtual nails try on fffect Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | hands |
| test_Occl (iOS only) | Occlusion neural network used to define face collisions with different objects in the screen Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | face_tracker |
| test_Ring | AR Ring demo effect Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | hands |
| test_Ruler | Face-to-phone distance measurement | Yes |  | face_tracker |
| test_Skin | Skin segmentation neural network Face filter performance can be lower on mid-end and low-end devices due to neural network usage. | Yes |  | skin |
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).- Click on filter name to download the effect.
- Required packages column lists the packages you must include within the app. For iOS package names follow this simple rule: face_tracker -> BNBFaceTracker etc.
* Makeup effect dependencies are configured during runtime according to features enabled. You will see in log which package is missing in case of error.