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 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/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/AugmentedAutoencoder
공식 코드Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
https://github.com/Ending2015a/liepose-diffusion
공식 코드Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
https://github.com/GeorgeDu/vision-based-robotic-grasping
공식 코드https://github.com/KochPJ/AutoPoseEstimation
공식 코드https://github.com/KochPJ/vanishing-depth
공식 코드Vanishing Depth: A Depth Adapter with Positional Depth Encoding for Generalized Image Encoders
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/NVlabs/dex-ycb-toolkit
공식 코드https://github.com/Oliverbansk/Hollistic-Robot-Pose-Estimation
공식 코드Real-time Holistic Robot Pose Estimation with Unknown States
https://github.com/Owen-Liuyuxuan/visualDet3D
공식 코드Ground-aware Monocular 3D Object Detection for Autonomous Driving
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/apoorvabeedu/videopose
공식 코드https://github.com/bochenys/rope
공식 코드Occlusion-Robust Object Pose Estimation with Holistic Representation
https://github.com/boschresearch/symfm6d
공식 코드SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation
https://github.com/chensong1995/HybridPose
공식 코드HybridPose: 6D Object Pose Estimation under Hybrid Representations
https://github.com/cuge1995/u6da
공식 코드Adversarial samples for deep monocular 6D object pose estimation
https://github.com/cvlab-epfl/perspective-flow-aggregation
공식 코드Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation
https://github.com/cvlab-epfl/segmentation-driven-pose
공식 코드https://github.com/cvlab-epfl/single-stage-pose
공식 코드https://github.com/decayale/rnnpose
공식 코드https://github.com/deepmind/threednel
공식 코드3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
https://github.com/dingdingcai/ove6d-pose
공식 코드OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation
https://github.com/dingdingcai/sc6d-pose
공식 코드SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation
https://github.com/ethnhe/FS6D-PyTorch
공식 코드https://github.com/ethz-asl/neusurfemb
공식 코드https://github.com/fraunhoferhhi/casapose
공식 코드CASAPose: Class-Adaptive and Semantic-Aware Multi-Object Pose Estimation
https://github.com/fulliu/lc
공식 코드Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation
https://github.com/gorilla-lab-scut/dcl-net
공식 코드DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation
https://github.com/hsp-iit/fast-ycb
공식 코드ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
https://github.com/hsp-iit/multi-tactile-6d-estimation
공식 코드Collision-aware In-hand 6D Object Pose Estimation using Multiple Vision-based Tactile Sensors
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.