Papers with Code 아카이브
6D Pose Estimation using RGB
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6D Pose Estimation using RGB refers to the task of determining the six degree-of-freedom (6D) pose of an object in 3D space based on RGB images. This involves estimating the position and orientation of an object in a scene, and is a fundamental problem in computer vision and robotics. In this task, the goal is to estimate the 6D pose of an object given an RGB image of the object and the scene, which can be used for tasks such as robotic manipulation, augmented reality, and scene reconstruction.
<span style="color:grey; opacity: 0.6">( Image credit: Segmentation-driven 6D Object Pose Estimation )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hz-ants/segmentation-driven-pose-train-
Estimating 6D Pose From Localizing Designated Surface Keypoints
https://github.com/hz-ants/yolo-6d
https://github.com/interactivegl/vision6d
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/ivano-donadi/kvn
https://github.com/jiang-hb/diffusionreg
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation
https://github.com/kirumang/Pix2Pose
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation
https://github.com/leob03/E2E_Object_Pose_Estimator
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/lh641446825/NOCS_2019CVPR
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/liyi14/mx-DeepIM
https://github.com/lolrudy/kp-red
GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting
https://github.com/lolrudy/rbp_pose
GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting
https://github.com/mialbro/PointFusion
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
https://github.com/mialbro/pytorch_pointfusion
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
https://github.com/mshn2000/PointFusion
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
https://github.com/nv-nguyen/pizza
https://github.com/pairlab/6pack
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/pedropro/UrsoNet
Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering
https://github.com/qnqnckck/efficient-pose
https://github.com/rongakowang/densemutualattention
https://github.com/sahithchada/NOCS_PyTorch
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/sjtuytc/segmentation-driven-pose
Estimating 6D Pose From Localizing Designated Surface Keypoints
https://github.com/sthalham/tram3d
https://github.com/tbd-clip/efficientpose
https://github.com/tzole1155/EndToEndObjectPose
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization
https://github.com/varunburde/reconstruction_pose_benchmark
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/verityw/manipulation-final-project
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/wadimkehl/ssd-6d
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
https://github.com/why2011btv/6d_pose_estimation
Estimating 6D Pose From Localizing Designated Surface Keypoints
https://github.com/xyjbaal/FPCC
Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking
https://github.com/ykzzyk/vision6d
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/ylabbe/cosypose
CosyPose: Consistent multi-view multi-object 6D pose estimation
https://github.com/yshah43/DPOD
https://github.com/yuxng/PoseCNN
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/zju3dv/pvnet
https://github.com/zubair-irshad/CenterSnap
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.