3D Pose estimation

3D pose estimation from images by deep learning

•PoseCNN: A CNN for 6D Object Pose Estimation in Cluttered Scenes

•BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth

•SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again

•Real-Time Seamless Single Shot 6D Object Pose Prediction

•Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

•Vehicle Detection and Pose Estimation for Autonomous Driving (Thesis)

•A mixed classification-regression framework for pose estimation from images

•Classification and Pose Estimation of Vehicles in Videos by 3D Modeling within Discrete-Continuous Optimization

•Improved Object Detection and Pose Using Part-Based Models

•Object Detection and Viewpoint Estimation with a Deformable 3D Model

•PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation (2018.12)

•SilhoNet: An RGB Method for 6D Object Pose Estimation (2019.6)

•Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation (2019.8)

•Deepim: Deep iterative matching for 6d pose estimation (2019.10)

•Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction (2019.10)

•CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation (ICCV, 2019)

•DPOD: 6D Pose Object Detector and Refiner (ICCV, 2019)

•ConvPoseCNN: Dense Convolutional 6D Object Pose Estimation (2019.12)

•LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation (2019.12)

•HybridPose: 6D Object Pose Estimation under Hybrid Representations (2020.1)

• 6DoF Object Pose Estimation via Differentiable Proxy Voting Loss (2020.2)