Face Parsing
21 papers with code • 4 benchmarks • 5 datasets
Classify pixels of a face image into different classes based on a given bounding box.
Helen
CelebAMask-HQ
LaPa
iBugMask
EasyPortrait
Most implemented papers
Micro Expression Generation with Thin-plate Spline Motion Model and Face Parsing
howtonameme/micro-expression
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MM '22: Proceedings of the 30th ACM International Conference on Multimedia 2022
We (Team: USTC-IAT-United) also compare our method with other competitors' in MEGC2022, and the expert evaluation results show that our method performs best, which verifies the effectiveness of our method.
Faceptor: A Generalist Model for Face Perception
This design enhances the unification of model structure while improving application efficiency in terms of storage overhead.
Face Parsing with RoI Tanh-Warping
sicxu/Deep3dPortrait
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CVPR 2019
It uses hierarchical local based method for inner facial components and global methods for outer facial components.
EHANet: An Effective Hierarchical Aggregation Network for Face Parsing
JACKYLUO1991/FaceParsing
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Applied Sciences 2020
In recent years, benefiting from deep convolutional neural networks (DCNNs), face parsing has developed rapidly.
RoI Tanh-polar Transformer Network for Face Parsing in the Wild
Face parsing aims to predict pixel-wise labels for facial components of a target face in an image.
High Resolution Face Editing with Masked GAN Latent Code Optimization
The proposed approach is based on an optimization procedure that directly optimizes the latent code of a pre-trained (state-of-the-art) Generative Adversarial Network (i. e., StyleGAN2) with respect to several constraints that ensure: (i) preservation of relevant image content, (ii) generation of the targeted facial attributes, and (iii) spatially--selective treatment of local image areas.
E2Style: Improve the Efficiency and Effectiveness of StyleGAN Inversion
wty-ustc/e2style
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This paper studies the problem of StyleGAN inversion, which plays an essential role in enabling the pretrained StyleGAN to be used for real image editing tasks.
General Facial Representation Learning in a Visual-Linguistic Manner
FacePerceiver/FaRL
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CVPR 2022
In this paper, we study the transfer performance of pre-trained models on face analysis tasks and introduce a framework, called FaRL, for general Facial Representation Learning in a visual-linguistic manner.
Weakly-supervised Caricature Face Parsing through Domain Adaptation
ZJULearning/CariFaceParsing
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However, current state-of-the-art face parsing methods require large amounts of labeled data on the pixel-level and such process for caricature is tedious and labor-intensive.
End-to-End Face Parsing via Interlinked Convolutional Neural Networks
aod321/STN-iCNN
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Face parsing is an important computer vision task that requires accurate pixel segmentation of facial parts (such as eyes, nose, mouth, etc.
