face alignment

Learning Person-Specific Animatable Face Models from In-the-Wild Images via a Shared Base Model CVPR 2025 3D Face Reconstruction with the Geometric Guidance of Facial Part Segmentation CVPR 2024 FreeEnricher: Enriching Face Landmarks without Additional Cost AAAI 2023 STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection CVPR 2023 Occlusion Resistant Network for 3D Face Reconstruction WACV 2022 Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture CVPR 2022 RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection IJCAI 2022 Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning CVPR 2022 ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment ICCV 2021 AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses AAAI 2021 img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation CVPR 2021 Searching for Alignment in Face Recognition AAAI 2021 3FabRec: Fast Few-Shot Face Alignment by Reconstruction CVPR 2020 AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces CVPR 2020 LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood CVPR 2020 PropagationNet: Propagate Points to Curve to Learn Structure Information CVPR 2020 RDCFace: Radial Distortion Correction for Face Recognition CVPR 2020 RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild CVPR 2020 Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos AAAI 2020 Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression ICCV 2019 Aggregation via Separation: Boosting Facial Landmark Detector With Semi-Supervised Style Translation ICCV 2019 DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild ICCV 2019 Face Alignment With Kernel Density Deep Neural Network ICCV 2019 MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction CVPR 2019 Soft Facial Landmark Detection by Label Distribution Learning AAAI 2019