https://github.com/3dtopia/omni6d
공식 코드Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation
Papers with Code 아카이브
6D Pose Estimation
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Image: Zeng et al
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/BatFaceWayne/POV_Surgery
공식 코드POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities
https://github.com/BoChenYS/BPnP
공식 코드End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization
https://github.com/DC1991/FS-Net
공식 코드https://github.com/DC1991/G2L_Net
공식 코드G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features
https://github.com/DLR-RM/3DObjectTracking/tree/master/Mb-ICG
공식 코드A Multi-body Tracking Framework -- From Rigid Objects to Kinematic Structures
https://github.com/DLR-RM/AugmentedAutoencoder
공식 코드Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
https://github.com/FieteLab/RFPF
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/HuaWeitong/REDE
공식 코드REDE: End-to-end Object 6D Pose Robust Estimation Using Differentiable Outliers Elimination
https://github.com/IRVLUTD/HO-Cap
공식 코드https://github.com/Junggy/SCRREAM
공식 코드https://github.com/NVlabs/BundleSDF
공식 코드BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
https://github.com/NVlabs/FoundationStereo
공식 코드FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
https://github.com/NVlabs/PoseRBPF
공식 코드PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking
https://github.com/Oliverbansk/Hollistic-Robot-Pose-Estimation
공식 코드Real-time Holistic Robot Pose Estimation with Unknown States
https://github.com/THU-DA-6D-Pose-Group/GDR-Net
공식 코드GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator
https://github.com/THU-DA-6D-Pose-Group/Self6D-Diff-Renderer
공식 코드https://github.com/aau-cns/poet
공식 코드PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose Estimation
https://github.com/ai-application-and-integration-lab/rdpn6d
공식 코드https://github.com/amathislab/hoisdf
공식 코드HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
https://github.com/andyzeng/apc-vision-toolbox
공식 코드Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
https://github.com/apoorvabeedu/videopose
공식 코드https://github.com/augcog/dttd2
공식 코드Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset
https://github.com/augcog/robust-digital-twin-tracking
공식 코드Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset
https://github.com/bardiadoosti/HOPE
공식 코드HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
https://github.com/boschresearch/symfm6d
공식 코드SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation
https://github.com/ch-sa/labelCloud
공식 코드labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds
https://github.com/cheind/robot-pose
공식 코드https://github.com/cnjianliu/sinref-6d
공식 코드Novel Object 6D Pose Estimation with a Single Reference View
https://github.com/cuge1995/u6da
공식 코드Adversarial samples for deep monocular 6D object pose estimation
https://github.com/cviviers/YOLOv5-6D-Pose
공식 코드Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries
https://github.com/cvlab-epfl/segmentation-driven-pose
공식 코드https://github.com/cvlab-epfl/single-stage-pose
공식 코드https://github.com/cvmi-lab/ist-net
공식 코드IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.