https://github.com/lh641446825/NOCS_2019CVPR
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
Papers with Code 아카이브
Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 17
- 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/liang-faan/openpose
https://github.com/lichengunc/mask-faster-rcnn
https://github.com/lifunudt/blender_based_render
https://github.com/ligaoqi2/Pose2Seg-single-person-video-demo
https://github.com/ligaoqi2/res-loglikelihood-regression-with-COCO-video-demo
Human Pose Regression with Residual Log-likelihood Estimation
https://github.com/lihaoy-ux/mline-vins
PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features
https://github.com/lijiaman/egoego_release
https://github.com/limaosen0/DMGNN
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction
https://github.com/lincaiming/py-faster-rcnn-update
https://github.com/lincaiming/py-faster-rcnn-windows
https://github.com/lingtengqiu/OPEC-Net
Peeking into occluded joints: A novel framework for crowd pose estimation
https://github.com/linxi159/GAN-training-tricks
https://github.com/linxi159/Tips-and-tricks-to-train-GANs
https://github.com/lippman1125/pytorch_FAN
https://github.com/liuch37/semantic-segmentation
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/liuzhen03/ADNet
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
https://github.com/liuziwei7/fashion-landmarks
https://github.com/lixiaolei1982/DenseNet-base-Mask-RCNN-for-Human-Pose-Estimation
https://github.com/liyi14/mx-DeepIM
https://github.com/lizhuoq/ESRGAN-pytorch
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/llSourcell/3D_Pose_Estimation
A simple yet effective baseline for 3d human pose estimation
https://github.com/lncarter/Dencepose
https://github.com/lncarter/Openpose
https://github.com/locuslab/monotone_op_net
https://github.com/lolrudy/kp-red
GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting
https://github.com/longcw/roialign.pytorch
https://github.com/louisyuzhe/car-damage-detector
https://github.com/lrxjason/Attention3DHumanPose
https://github.com/ls5122/mask-rcnn
https://github.com/lucasjinreal/yolov7_d2
https://github.com/lucasmfaria/Machine-Learning-Capstone
https://github.com/luciennnnnnn/dualformer
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/lucylow/salty-wet-man
https://github.com/lugiavn/transformation-transferring
Let's Transfer Transformations of Shared Semantic Representations
https://github.com/lukoucky/image_recommendation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.