https://github.com/hsp-iit/roft
공식 코드ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
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/hsp-iit/sim2real-surface-classification
공식 코드Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile Sensors
https://github.com/hughw19/NOCS_CVPR2019
공식 코드Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/imitrob/imitrob_dataset_code
공식 코드Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators
https://github.com/jcorsetti/fcgf6d
공식 코드Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation
https://github.com/jiehonglin/sam-6d
공식 코드SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
https://github.com/jiehonglin/vi-net
공식 코드https://github.com/junzastar/dftr_voting
공식 코드https://github.com/jzhao12/cvam-pose
공식 코드CVAM-Pose: Conditional Variational Autoencoder for Multi-Object Monocular Pose Estimation
https://github.com/kartikgupta-at-anu/CullNet
공식 코드CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation
https://github.com/kywind/self-corr-pose
공식 코드Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild
https://github.com/leeiieeo/ag-pose
공식 코드Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation
https://github.com/lkeab/gsnet
공식 코드GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision
https://github.com/lolrudy/gpv_pose
공식 코드GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting
https://github.com/mentian/object-posenet
공식 코드https://github.com/nv-nguyen/template-pose
공식 코드https://github.com/oliverbansk/holistic-robot-pose-estimation
공식 코드Real-time Holistic Robot Pose Estimation with Unknown States
https://github.com/pedrocastro/crt-6d
공식 코드CRT-6D: Fast 6D Object Pose Estimation with Cascaded Refinement Transformers
https://github.com/princeton-vl/coupled-iterative-refinement
공식 코드Coupled Iterative Refinement for 6D Multi-Object Pose Estimation
https://github.com/saqibjaved1/MQAT
공식 코드Modular Quantization-Aware Training for 6D Object Pose Estimation
https://github.com/sh8/repose
공식 코드RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering
https://github.com/shangbuhuan13/so-pose
공식 코드SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation
https://github.com/shanice-l/gdrnpp_bop2022
공식 코드GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator
https://github.com/sjtuytc/betapose
공식 코드Estimating 6D Pose From Localizing Designated Surface Keypoints
https://github.com/thodan/bop_toolkit
공식 코드https://github.com/thodan/epos
공식 코드https://github.com/thodan/t-less_toolkit
공식 코드T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects
https://github.com/thu-da-6d-pose-group/self6dpp
공식 코드Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation
https://github.com/tjiiv-cprg/epro-pnp
공식 코드https://github.com/tjiiv-cprg/epro-pnp-v2
공식 코드https://github.com/wenbowen123/BundleTrack
공식 코드BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
https://github.com/wenbowen123/icra20-hand-object-pose
공식 코드Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands
https://github.com/wenbowen123/iros20-6d-pose-tracking
공식 코드se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
https://github.com/yanghai-1218/pseudoflow
공식 코드Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation
https://github.com/yanghai-1218/radet
공식 코드https://github.com/yanghai-1218/scflow
공식 코드Shape-Constraint Recurrent Flow for 6D Object Pose Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.