https://github.com/goutern/PoseEstimation
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
Papers with Code 아카이브
Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 31
- 보존된 평가 기록
- 235
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>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/gouthamvgk/SuperGlue_training
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/gox-ai/hrnet-pose-api
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/gpastal24/ViTPose-Pytorch
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation
https://github.com/gq-sonofgod/zoom-picture
https://github.com/gregtozzi/deep_learning_celnav
https://github.com/grgward108/PosePretrain
A Unified Transformer-Based Framework with Pretraining For Whole Body Grasping Motion Generation
https://github.com/grossjohannes/AlignNet-3D
AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects
https://github.com/gs18113/ESPCN-TensorFlow2
https://github.com/gsoykan/comp541_term_project
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
https://github.com/gsoykan/deepercut-replication
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
https://github.com/guanfuchen/py-faster-rcnn
https://github.com/guiggh/hand_pose_action
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations
https://github.com/gulvarol/bodynet
https://github.com/gulvarol/surreact
Synthetic Humans for Action Recognition from Unseen Viewpoints
https://github.com/gulvarol/surreal
https://github.com/guxiao0822/ICL-Gait-SupplementaryCode
Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation
https://github.com/gyaansastra/DeepLab
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
https://github.com/gzerveas/gaila_object_detection
https://github.com/h44rd/PoseTransferMayaPlugin
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/halimasoulb/human-pose-estimation-3d-lidar
https://github.com/hanchenchen/hand-complete-w-Handtailor
HandTailor: Towards High-Precision Monocular 3D Hand Recovery
https://github.com/hanghang177/pedestrian_awareness
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/happyvictor008/High-order-GNN-LF-iter
A simple yet effective baseline for 3d human pose estimation
https://github.com/hariharannatesh/Action-Recognition-using-Pytorch-Geometric
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/harrybolingot/mymaskrcnn
https://github.com/harshalsonioo1/hpe
https://github.com/hasanirtiza/Pedestron
https://github.com/hassony2/manopth
Learning joint reconstruction of hands and manipulated objects
https://github.com/hassony2/obman
Learning joint reconstruction of hands and manipulated objects
https://github.com/hassony2/obman_train
Learning joint reconstruction of hands and manipulated objects
https://github.com/hbahadirsahin/gmvae
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
https://github.com/heartyguy/AI-AngryBird-Eagle-Wing
https://github.com/hellohaozheng/maskrcnn-mindspore
https://github.com/hellojialee/Multi-Person-Pose-using-Body-Parts
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
https://github.com/hhe-distance/AIF-CNN
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.