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IceTTTb avatar

IceTTTb/PlaneTR3D

0
View on GitHub↗
103 stars·12 forks·Python·Apache-2.0·10 views

PlaneTR3D

[ICCV'21] PlaneTR: Structure-Guided Transformers for 3D Plane Recovery

Features

  • Plane Reconstruction - Structure-guided transformers for 3D plane recovery.
  • Scene Reconstruction - Structure-guided transformers for 3D plane recovery and reconstruction.

Star history

Star history chart for icetttb/planetr3dStar history chart for icetttb/planetr3d

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with PlaneTR3D

These projects share indexed features with PlaneTR3D. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • eryixie/planerecnetEryiXie avatar

    EryiXie/PlaneRecNet

    90View on GitHub↗

    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…

    Python
    View on GitHub↗90
  • nvlabs/planercnnNVlabs avatar

    NVlabs/planercnn

    609View on GitHub↗

    By Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, and Jan Kautz

    Python
    View on GitHub↗609
  • intel-isl/open3dintel-isl avatar

    intel-isl/Open3D

    13,695View on GitHub↗

    Open3D is a 3D data processing library, visualization engine, and machine learning library. It provides a framework for manipulating point clouds and meshes through specialized algorithms designed for 3D data science workflows. The project includes a toolkit for 3D scene reconstruction to generate spatial models and align surfaces from raw data. It also functions as a GPU accelerated framework that offloads intensive spatial computations to the graphics processor to increase processing speed. The library covers a broad range of capabilities including physically based light simulations for vi

    C++
    View on GitHub↗13,695
  • openmvg/openmvgopenMVG avatar

    openMVG/openMVG

    6,451View on GitHub↗

    openMVG is a computer vision geometry library and toolkit for multiple view geometry. It serves as a framework for structure from motion and 3D scene reconstruction, providing the tools necessary to recover 3D point clouds and camera poses from collections of 2D images. The library implements both global and incremental structure-from-motion pipelines. It uses geometric algorithms to calculate camera pose estimation and image localization, employing Levenberg-Marquardt bundle adjustment to refine 3D coordinates and camera parameters by minimizing reprojection error. The project covers a broa

    C++
    View on GitHub↗6,451
Compare all 30 related projects→

Frequently asked questions

What does icetttb/planetr3d do?

[ICCV'21] PlaneTR: Structure-Guided Transformers for 3D Plane Recovery

What are the main features of icetttb/planetr3d?

The main features of icetttb/planetr3d are: Plane Reconstruction, Scene Reconstruction.

Which projects share features with icetttb/planetr3d?

Projects with overlapping indexed features include: eryixie/planerecnet — This is an official implementation for PlaneRecNet: A multi-task convolutional neural network provides instance… nvlabs/planercnn — By Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, and Jan Kautz. openmvg/openmvg — openMVG is a computer vision geometry library and toolkit for multiple view geometry. It serves as a framework for… intel-isl/open3d — Open3D is a 3D data processing library, visualization engine, and machine learning library. It provides a framework… facebookresearch/ridgesfm — Benjamin Graham, David Novotny 3DV 2020. brownvc/deep-synth — Public code release for our SIGGRAPH 2018 paper "Deep Convolutional Priors for Indoor Scene Synthesis".