https://github.com/DLR-RM/3DObjectTracking/tree/master/SRT3D
공식 코드SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World
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/DLR-RM/AugmentedAutoencoder
공식 코드Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
https://github.com/DLR-RM/BlenderProc
공식 코드https://github.com/DavHoffmann/LearningToTrainWithSyntheticHumans
공식 코드https://github.com/Davidyao99/uni4d
공식 코드Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single Video
https://github.com/DeLightCMU/PSA
공식 코드Polarized Self-Attention: Towards High-quality Pixel-wise Regression
https://github.com/DeepLabCut/DeepLabCut
공식 코드Markerless tracking of user-defined features with deep learning
https://github.com/Dianezzy/ParaLip
공식 코드https://github.com/Doubiiu/CodeTalker
공식 코드CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior
https://github.com/Droliven/DHMP_jittor
공식 코드Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space
https://github.com/Droliven/MSRGCN
공식 코드MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction
https://github.com/Duankaiwen/LSNet
공식 코드https://github.com/EMI-Group/RelativeNAS
공식 코드RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
https://github.com/EasonChen99/EVLoc
공식 코드EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth Registration
https://github.com/EinsTian1/iftd
공식 코드IFTD: Image Feature Triangle Descriptor for Loop Detection in Driving Scenes
https://github.com/Elody-07/AWR-Adaptive-Weighting-Regression
공식 코드AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation
https://github.com/Embracing/GFPose
공식 코드https://github.com/EnVision-Research/Kiss3DGen
공식 코드Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generation
https://github.com/Ending2015a/liepose-diffusion
공식 코드Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
https://github.com/EscVM/RAMS
공식 코드https://github.com/EvelynFan/FaceFormer
공식 코드FaceFormer: Speech-Driven 3D Facial Animation with Transformers
https://github.com/EvenGu/ExeChecker
공식 코드https://github.com/FangyunWei/PointSetAnchor
공식 코드Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation
https://github.com/FeixiangZhou/GM-SCENet
공식 코드Structured Context Enhancement Network for Mouse Pose Estimation
https://github.com/FieteLab/RFPF
공식 코드https://github.com/GONGJIA0208/Diffpose
공식 코드https://github.com/GUO-W/MultiMotion
공식 코드https://github.com/GeeeG/CloudAAE
공식 코드CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds
https://github.com/GeorgeDu/vision-based-robotic-grasping
공식 코드https://github.com/Gorilla-Lab-SCUT/DualPoseNet
공식 코드https://github.com/Guanghan/GNet-pose
공식 코드Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation
https://github.com/Guanghan/lighttrack
공식 코드LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
https://github.com/GuidoManni/BodySLAM
공식 코드BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical Applications
https://github.com/HBioquant/DiffBindFR
공식 코드DiffBindFR: An SE(3) Equivariant Network for Flexible Protein-Ligand Docking
https://github.com/HDETR/H-Deformable-DETR
공식 코드https://github.com/HDETR/H-Deformable-DETR-mmdet
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.