https://github.com/kartikgupta-at-anu/CullNet
공식 코드CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation
Papers with Code 아카이브
Pose Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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Pose prediction is to predict future poses given a window of previous poses.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/levenberg/2D-3D-pose-tracking
공식 코드Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences
https://github.com/limaosen0/AS-GCN
공식 코드Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition
https://github.com/mks0601/Hand4Whole_RELEASE
공식 코드Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation
https://github.com/mmahdavian/stpotr
공식 코드https://github.com/naver/posebert
공식 코드PoseBERT: A Generic Transformer Module for Temporal 3D Human Modeling
https://github.com/prasunroy/mcma
공식 코드Exploring Mutual Cross-Modal Attention for Context-Aware Human Affordance Generation
https://github.com/rassaire/DmoGpm
공식 코드https://github.com/seathiefwang/RankHeadPose
공식 코드RankPose: Learning Generalised Feature with Rank Supervision for Head Pose Estimation
https://github.com/seonghwanseo/molvoxel
공식 코드PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling
https://github.com/seonghwanseo/pharmaconet
공식 코드PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling
https://github.com/sjtuytc/betapose
공식 코드Estimating 6D Pose From Localizing Designated Surface Keypoints
https://github.com/smlc-nysbc/target-vae
공식 코드Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
https://github.com/thohemp/6drepnet
공식 코드6D Rotation Representation For Unconstrained Head Pose Estimation
https://github.com/thohemp/6drepnet360
공식 코드Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation
https://github.com/val-iisc/sketch-parse
공식 코드https://github.com/vita-epfl/deposit
공식 코드A generic diffusion-based approach for 3D human pose prediction in the wild
https://github.com/vita-epfl/multi-transmotion
공식 코드Multi-Transmotion: Pre-trained Model for Human Motion Prediction
https://github.com/xhaughearl/haarmodic
공식 코드Multi-Resolution Haar Network: Enhancing human motion prediction via Haar transform
https://github.com/xingyizhou/pose-hg-3d
공식 코드Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
https://github.com/zahrag/SLOPE-KP
공식 코드Self-supervised learning of object pose estimation using keypoint prediction
https://github.com/zhouxian/act3d-chained-diffuser
공식 코드Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
https://github.com/AP-EPFL/DA-segmentation-driven-pose
Estimating 6D Pose From Localizing Designated Surface Keypoints
https://github.com/AlongRide/Py3torch_HigherHRNet
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
https://github.com/CompVis/unsupervised-part-segmentation
Unsupervised Part-Based Disentangling of Object Shape and Appearance
https://github.com/Darius-Liesis/HRNet-works
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
https://github.com/ECE740F21T01/pytorch-pose-hg-3d
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
https://github.com/GilbertoQ/Bioinformatics
https://github.com/LiuShenLan/HRNet
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
https://github.com/MatthewHowe/WIBAM
https://github.com/Microsoft/singleshotpose
https://github.com/NVIDIA/UnsupervisedLandmarkLearning
Unsupervised Part-Based Disentangling of Object Shape and Appearance
https://github.com/PaddlePaddle/PaddleDetection
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
https://github.com/SeonghwanSeo/RxnFlow
PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling
https://github.com/ShaoweiSong0718/HigherHRNet-Human-Pose-Estimation
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
https://github.com/Yongjjun/singleshotpose
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.