Reproduction of DPOD paper

The official training code of ICCV2019 paper "CDPN: Coordinates-based Disentangled Pose Network for Real-time RGB-based 6-DoF Object Pose Estimation".

Official PyTorch implementation of ICCV 2019 paper "DPOD: 6D Pose Object Detector and Refiner"

Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

SurfEmb (CVPR 2022)

[CVPR2021 Oral] FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation.

6DoF Pose Estimation using Neural Radiance Fields

Official repository to render mixed-reality images as in the CHOC dataset

Instance Segmentation Aided 6D Object Pose and Velocity Tracking using an Unscented Kalman Filter

Recent papers about generalizable 6DoF object pose estimation.

Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild, ICLR 2023

A review on instance-level 6D object pose estimation

DPOD: 6D Pose Estimator

Small python implementation of point pair feature matching via Drost-PPF / PPF-Voting. Optional binary extension via nanobind for speed

Code for "EPOS: Estimating 6D Pose of Objects with Symmetries", CVPR 2020.

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

Rigidity-Aware Detection for 6D Object Pose Estimation (CVPR 2023)

[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models

Shape-Constraint Recurrent Flow for 6D Object Pose Estimation (CVPR 2023)

[CVPR 2022] Pytorch implementation of "Templates for 3D Object Pose Estimation Revisited: Generalization to New objects and Robustness to Occlusions" paper