https://github.com/Nicholasli1995/EvoSkeleton
공식 코드Cascaded deep monocular 3D human pose estimation with evolutionary training data
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
This task targets at 3D Human Pose Estimation with fewer 3D annotation.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Cascaded deep monocular 3D human pose estimation with evolutionary training data
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild
A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation
3D human pose estimation in video with temporal convolutions and semi-supervised training
MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision
PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry
Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
3D human pose estimation in video with temporal convolutions and semi-supervised training
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition
3D human pose estimation in video with temporal convolutions and semi-supervised training
TexturePose: Supervising Human Mesh Estimation with Texture Consistency
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
3D human pose estimation in video with temporal convolutions and semi-supervised training
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.