6D位姿估计 论文及代码汇总，持续更新~~~

左手的ㄟ右手 2022-12-03 09:10 286阅读 0赞

转载请注明作者和出处：http://blog.csdn.net/john_bh/

6D位姿估计 论文及代码汇总，持续更新中~~

文章目录

    • Arxiv
    • ICCV 2021
    • CVPR 2021
    • WACV 2021
    • ACCV 2020
    • ECCV 2020
    • CVPR 2020
    • ICRA 2020
    • IROS 2020
    • WACV 2020
    • CVPR 2019
    • ICCV 2019
    • NuerIPS 2019
    • ICRA 2019
    • ISRR 2019
    • RSS 2019
    • CoRL 2019
    • CVPR 2018
    • ECCV 2018
    • RSS 2018
    • CoRL 2018
    • ICCV 2017
    • CVPR 2017
    • ICRA 2017
    • CVPR 2016
    • ECCV 2016
    • ICRA 2016
    • ICCV 2015
    • ECCV 2014
    • ACCV 2012

Arxiv

  1. PAM:Point-wise Attention Module for 6D Object Pose Estimation — arxiv paper
  2. PERCH 2.0 : Fast and Accurate GPU-based Perception via Search for Object Pose Estimation — arxiv paper

ICCV 2021

  1. StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation — arxiv paper
  2. SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation — arxiv paper — code

CVPR 2021

  1. GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation — paper — code
  2. DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency — arxiv paper
  3. StablePose: Learning 6D Object Poses from Geometrically Stable Patches — arxiv paper

WACV 2021

  1. A Pose Proposal and Refinement Network for Better 6D Object Pose Estimation — Best Student Paper paper

ACCV 2020

  1. A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking — Best Paperpaper — code

ECCV 2020

  1. CosyPose：Consistent multi-view multi-object 6D pose estimation — arxiv paper — project — code
  2. Self6D：Self-Supervised Monocular 6D Object Pose Estimation — Oral arxiv paper — code
  3. NOL：Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images — Spotlight arxiv paper — code — 数据集
  4. Category Level Object Pose Estimation via Neural Analysis-by-Synthesis — arxiv paper — 主页
  5. Shape Prior Deformation：Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation — arxiv paper — code
  6. Few-Shot Viewpoint：Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild — arxiv paper — code
  7. Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild — arxiv paper

CVPR 2020

  1. PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation — arxiv paper — CVPR2020 paper — code
  2. Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation — paper
  3. Category-Level Articulated Object Pose Estimation — Oral paper — code
  4. MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion — arxiv paper — code
  5. EPOS: Estimating 6D Pose of Objects with Symmetries — project — paper
  6. G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features — arxiv paper — code
  7. Hybridpose: 6d object pose estimation under hybrid representations — paper — code
  8. Multi-Path：Multi-path Learning for Object Pose Estimation Across Domains — arxiv paper — code
  9. LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation — arxiv paper — code — project
  10. Single-Stage 6D Object Pose Estimation — arxiv paper — code
  11. BPnP：End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization — arxiv paper — code
  12. KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects — arxiv paper — code
  13. PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation — paper
  14. Reconstruct Locally, Localize Globally: A Model Free Method for Object Pose Estimation — paper
  15. Learning deep network for detecting 3D object keypoints and 6D poses — paper
  16. SSV：Self-Supervised Viewpoint Learning From Image Collections —— arxiv paper — code
  17. Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation — arxiv paper

ICRA 2020

  1. 6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints — arxiv paper — project — code
  2. RotationAnchor：Robust 6D Object Pose Estimation by Learning RGB-D Features — arxiv paper — code
  3. Self-Supervised 6D：Self-supervised 6D Object Pose Estimation for Robot Manipulation — arxiv paper
  4. DirectShape: Direct Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimatio — arxiv paper

IROS 2020

  1. se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains — arxiv paper — code

WACV 2020

  1. PointPoseNet: Point Pose Network for Robust 6D Object Pose Estimation — paper
  2. SymGAN: Orientation Estimation without Annotation for Symmetric Objects — paper

CVPR 2019

  1. DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion — arxiv paper — project — code
  2. NOCS：Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation — arxiv paper — project — code
  3. PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation — paper — project — code
  4. Segmentation-driven 6D object pose estimation – paper — code

ICCV 2019

  1. CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation — paper
  2. Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation — paper — code
  3. DPOD: 6D pose object detector and refiner — paper

NuerIPS 2019

Neural Information Processing Systems (NuerIPS)

  1. Learning to predict 3D objects with an interpolation-based differentiable renderer

ICRA 2019

  1. MTTM：Multi-Task Template Matching for Object Detection, Segmentation and Pose Estimation Using Depth Images

ISRR 2019

  1. kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation — paper

RSS 2019

Robotics: Science and Systems (RSS)

  1. PoseRBPF: A rao-blackwellized particle filter for 6D object pose tracking — paper — code

CoRL 2019

  1. Scene-level pose estimation for multiple instances of densely packed objects

CVPR 2018

  1. YOLO-6D：Real-Time Seamless Single Shot 6D Object Pose Prediction — paper — code
  2. 3D-RCNN:Instance-level 3D object reconstruction via render-andcompare
  3. Multiview consistency as supervisory signal for learning shape and pose prediction

ECCV 2018

  1. Category-level 6D Object Pose Recovery in Depth Images — paper
  2. A unified framework for multi-view multi-class object pose estimation — paper
  3. DeepIM: Deep iterative matching for 6D pose estimation — paper — code
  4. Implicit 3D orientation learning for 6D object detection from RGB images — paper — code
  5. End-to-end 6-DOF object pose estimation through differentiable rasterization
  6. Making deep heatmaps robust to partial occlusions for 3D object pose estimation

RSS 2018

  1. PoseCNN: A convolutional neural network for 6d object pose estimation in cluttered scenes — paper — code

CoRL 2018

Conference on Robot Learning

  1. Deep object pose estimation for semantic robotic grasping of household objects

ICCV 2017

  1. SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again — paper — code
  2. Real-Time Monocular Pose Estimation of 3D Objects using Temporally Consistent Local Color Histograms — paper
  3. BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth — paper

CVPR 2017

  1. 3D bounding box estimation using deep learning and geometry
  2. Global hypothesis generation for 6D object pose estimation
  3. SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again — paper — code

ICRA 2017

  1. 6-DOF object pose from semantic keypoints
  2. Multiview self-supervised deep learning for 6D pose estimation in the amazon picking challenge

CVPR 2016

  1. Uncertainty-driven 6D pose estimation of objects and scenes from a single RGB image

ECCV 2016

  1. Deep learning of local RGB-D patches for 3D object detection and 6d pose estimation — paper

ICRA 2016

  1. Depth-based object tracking using a robust gaussian filter

ICCV 2015

  1. Learning analysis-by-synthesis for 6D pose estimation in RGB-D images

ECCV 2014

  1. Learning 6D object pose estimation using 3D object coordinates

ACCV 2012

  1. Model based training, detection and pose estimation of texture-less 3D objects in heavily cluttered scenes

发表评论

表情：
评论列表 （有 0 条评论，286人围观）

还没有评论，来说两句吧...

相关阅读