https://github.com/nikitakaraevv/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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.
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
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
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
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
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
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
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Pre-training strategies and datasets for facial representation learning
Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze Estimation
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.