How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
This is an official implementation for PlaneRecNet: A multi-task convolutional neural network provides instance segmentation for piece-wise planes and monocular depth estimation, and focus on the cross-task consistency between two branches. 22th. Oct. 2021: Initial update, some trained models…
ECCV'18 Recovering 3D Planes from a Single Image via Convolutional Neural Networks
PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image
Jingjia Shi, Shuaifeng Zhi, Kai Xu
The main features of sjingjia/planerectr are: Plane Reconstruction.
Open-source alternatives to sjingjia/planerectr include: eryixie/planerecnet — This is an official implementation for PlaneRecNet: A multi-task convolutional neural network provides instance… fuy34/planerecover — [ECCV'18] Recovering 3D Planes from a Single Image via Convolutional Neural Networks. icetttb/nopesac — 2023.9 :wink: Our NOPE-SAC is accepted to TPAMI! icetttb/planetr3d — [ICCV'21] PlaneTR: Structure-Guided Transformers for 3D Plane Recovery. jcliu0428/zeroplane — Official Implementation of ZeroPlane Towards In-the-wild 3D Plane Reconstruction from a Single Image (CVPR 2025… art-programmer/planenet — PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image.
