Open-source alternatives to PlaneRecNet

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

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

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

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

Benjamin Graham, David Novotny 3DV 2020

official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo'

Official implementation of the paper

ECCV'18 Recovering 3D Planes from a Single Image via Convolutional Neural Networks

This is the offical repository of the paper:

2023.9 :wink: Our NOPE-SAC is accepted to TPAMI!

Official Implementation of ZeroPlane Towards In-the-wild 3D Plane Reconstruction from a Single Image (CVPR 2025 Highlight)

Planar Surface Reconstruction From Sparse Views

Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta.

Samir Agarwala, Linyi Jin, Chris Rockwell, David F. Fouhey University of Michigan ECCV 2022

Shubham Tulsiani, Saurabh Gupta, David Fouhey, Alexei A. Efros, Jitendra Malik.

Jingjia Shi, Shuaifeng Zhi, Kai Xu

Code for our paper in CVPR 2021: Indoor Panorama Planar 3D Reconstruction via Divide and Conquer (paper, video)

PyTorch implementation of our CVPR 2019 paper:

PlenOctree Volume Rendering (supports CUDA & fragment shader backends)

The official implementation of "DDR-Net: Learning Multi-Stage Multi-View Stereo With Dynamic Depth Range"(https://arxiv.org/abs/2103.14275) python 3.6 Pytorch >= 1.0.0 and = 9.0

Code release of our IROS 2024 oral paper "MonoPlane: Exploiting Monocular Geometric Cues for Generalizable 3D Plane Reconstruction". Code will be released soon. Please stay tuned.

Code for ICCV 2021 paper: Scene Synthesis via Uncertainty-Driven Attribute Synchronization

Code for the ECCV 2020 paper by Yiming Qian and Yasutaka Furukawa

RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction Yinyu Nie, Ji Hou, Xiaoguang Han, Matthias Nießner In CVPR, 2021.

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image Yinyu Nie, Xiaoguang Han, Shihui Guo, Yujian Zheng, Jian Chang, Jian Jun Zhang In CVPR, 2020.

PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image

Public code release for our SIGGRAPH 2018 paper "Deep Convolutional Priors for Indoor Scene Synthesis"

3DV 2021 Oral Sceneformer: Indoor Scene Generation with Transformers: Generate indoor scenes with Transformers