https://github.com/zycliao/TailorNet_dataset
TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style
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Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.
A common benchmark for this task is MPII Human Pose
<span style="color:grey; opacity: 0.6">( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style
RapidPoseTriangulation: Multi-view Multi-person Whole-body Human Pose Triangulation in a Millisecond
MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation
RegionViT: Regional-to-Local Attention for Vision Transformers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.