https://github.com/Vishwesh4/Face-Feature-Extraction
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Face reconstruction is the task of recovering the facial geometry of a face from an image.
<span style="color:grey; opacity: 0.6">( Image credit: Microsoft Deep3DFaceReconstruction )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Cross-modal Deep Face Normals with Deactivable Skip Connections
Perspective Reconstruction of Human Faces by Joint Mesh and Landmark Regression
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.