https://github.com/yingjiacheng/restorerid
공식 코드RestorerID: Towards Tuning-Free Face Restoration with ID Preservation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Face alignment is the task of identifying the geometric structure of faces in digital images, and attempting to obtain a canonical alignment of the face based on translation, scale, and rotation.
<span style="color:grey; opacity: 0.6">( Image credit: 3DDFA_V2 )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
RestorerID: Towards Tuning-Free Face Restoration with ID Preservation
FaceAtlasAR: Atlas of Facial Acupuncture Points in Augmented Reality
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection
Quantized Densely Connected U-Nets for Efficient Landmark Localization
Reasoning Structural Relation for Occlusion-Robust Facial Landmark Localization
Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
High-Resolution Representations for Labeling Pixels and Regions
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
High-Resolution Representations for Labeling Pixels and Regions
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
Deep High-Resolution Representation Learning for Visual Recognition
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
Structured Landmark Detection via Topology-Adapting Deep Graph Learning
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
High-Resolution Representations for Labeling Pixels and Regions
High-Resolution Representations for Labeling Pixels and Regions
Deep High-Resolution Representation Learning for Visual Recognition
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
High-Resolution Representations for Labeling Pixels and Regions
High-Resolution Representations for Labeling Pixels and Regions
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.