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
Edge-aware Graph Representation Learning and Reasoning for Face Parsing
Specifically, we encode a facial image onto a global graph representation where a collection of pixels ("regions") with similar features are projected to each vertex.
Progressive Semantic-Aware Style Transformation for Blind Face Restoration
chaofengc/PSFRGAN
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CVPR 2021
Compared with previous networks, the proposed PSFR-GAN makes full use of the semantic (parsing maps) and pixel (LQ images) space information from different scales of input pairs.
Learning Spatial Attention for Face Super-Resolution
Visualization of the attention maps shows that our spatial attention network can capture the key face structures well even for very low resolution faces (e. g., $16\times16$).
Fully Transformer Networks for Semantic Image Segmentation
BR-IDL/PaddleViT
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Transformers have shown impressive performance in various natural language processing and computer vision tasks, due to the capability of modeling long-range dependencies.
Quality-Aware Network for Face Parsing
soeaver/QANet
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This is a very short technical report, which introduces the solution of the Team BUPT-CASIA for Short-video Face Parsing Track of The 3rd Person in Context (PIC) Workshop and Challenge at CVPR 2021.
FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild
ibug-group/fpage
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To evaluate our method on in-the-wild data, we also introduce a new challenging large-scale benchmark called IMDB-Clean.
Fake It Till You Make It: Face analysis in the wild using synthetic data alone
We demonstrate that it is possible to perform face-related computer vision in the wild using synthetic data alone.
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing
deepinsight/insightface
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CVPR 2022
Specifically, DML-CSR designs a multi-task model which comprises face parsing, binary edge, and category edge detection.
EasyPortrait -- Face Parsing and Portrait Segmentation Dataset
Limited variability in existing portrait segmentation and face parsing datasets, including head poses, ethnicity, scenes, and occlusions specific to video conferencing, motivated us to create a new dataset, EasyPortrait, for these tasks simultaneously.
Toward High Quality Facial Representation Learning
nomewang/mcf
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To improve the facial representation quality, we use feature map of a pre-trained visual backbone as a supervision item and use a partially pre-trained decoder for mask image modeling.
