Papers with Code 아카이브
Weakly-supervised 3D Human Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 2
- 보존된 평가 기록
- 35
This task targets at 3D Human Pose Estimation with fewer 3D annotation.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation
Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition
Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry
MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision
Weakly-supervised 3D Human Pose Estimation with Cross-view U-shaped Graph Convolutional Network
Heuristic Weakly Supervised 3D Human Pose Estimation
TriPose: A Weakly-Supervised 3D Human Pose Estimation via Triangulation from Video
PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild
Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation
Cascaded deep monocular 3D human pose estimation with evolutionary training data
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild
TexturePose: Supervising Human Mesh Estimation with Texture Consistency
Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
3D human pose estimation in video with temporal convolutions and semi-supervised training
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation
End-to-end Recovery of Human Shape and Pose
Self-supervised Learning of Motion Capture
Harvesting Multiple Views for Marker-less 3D Human Pose Annotations
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.