16 open-source projects similar to sunset1995/horizonnet, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best HorizonNet alternative.
SpatialLM is a spatial modeling framework that uses large language models to transform monocular video and sensor data into structured indoor semantic maps. It functions as a system for indoor layout estimation and a point cloud semantic parser, converting raw geometric data into representations of architectural elements and object categories. The project aligns multi-modal sensor inputs with linguistic tokens, allowing a language model to serve as a reasoning engine for inferring room topology. It employs mechanisms to convert 3D point clouds and 2D image sequences into discrete tokens and s
Pytorch implementation of the ECCV 2020 paper: AtlantaNet: Inferring the 3D Indoor Layout from a Single 360 Image beyond the Manhattan World Assumption
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image
Polygon Detection for Room Layout Estimation using Heterogenous Graphs and Wireframes
This is PyTorch implementation of our CVPR 2021 Oral paper "LED 2 -Net: Monocular 360˚ Layout Estimation via Differentiable Depth Rendering".
This repository contains the official implementation of the paper "Unposed Sparse Views Room Layout Reconstruction in the Age of Pretrain Model". Accepted by ICLR 2025. [arXiv](https://arxiv.org/abs/2502.16779)
This is the implementation of our CVPRW'21 paper " OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas " accepted at the 2nd workshop on Omnidirectional Computer Vision.
DMH-Net Code for 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform (ECCV 2022)
This repository contains the code and models for the paper "Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas".
Code of my CVPR'16 paper: "Efficient 3D Room Shape Recovery From a Single Panorama."
Pytorch implementation of "Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness" (CVPR'23) The project is reproduced based on LGT-Net and PanoFormer. The generating mask process can be found in generatesegmentation-mask.py. Download…
Created by Haiyan Wang, Will Hutchcroft, Yuguang Li, Zhiqiang Wan, Ivaylo Boyadzhiev, Yingli Tian, Sing Bing Kang from Zillow and The City College of New York .
Torch implementation of our CVPR 18 paper: "LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image"
Tensorflow implementation of our end-to-end model to recover 3D layouts of indoor scenes.