Open-source alternatives to OmniLayout

Habitat-Lab

Habitat-sim is a high-performance 3D simulation platform designed for training and benchmarking embodied AI agents within photorealistic indoor and outdoor environments. It serves as a simulator for AI and robotics, providing a system for generating synthetic data and simulating physical interactions. The project is distinguished by a native C++ core that enables high-throughput simulation and a rendering pipeline using physically based rendering and baked global illumination. It features a navigation system based on pre-computed navigation meshes to ensure collision-free traversal and a rigi

This is PyTorch implementation of our CVPR 2021 Oral paper "LED 2 -Net: Monocular 360˚ Layout Estimation via Differentiable Depth Rendering".

Properties of dilated convolution are discussed in our ICLR 2016 conference paper. This repository contains the network definitions and the trained models. You can use this code together with vanilla Caffe to segment images using the pre-trained models. If you want to train the models yourself,…

This repository contains pre-trained models and evaluation code for the project 'Single Image 3D Interpreter Network' (ECCV 2016).

This is the implementation of our paper

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)

Index repo for Kimera code

Paper Accepted to CVPR 2022.

Paper

Paper

Free-form Description-guided 3D Visual Graph Networks for Object Grounding in Point Cloud

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

This is the official repository of the Semantic Query Network (SQN). For technical details, please refer to:

code for Holistically-Nested Edge Detection

This repo contains training and testing code for our paper on semantic scene completion, a task for producing a complete 3D voxel representation of volumetric occupancy and semantic labels for a scene from a single-view depth map observation. More information about the project can be found in…

DMH-Net Code for 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform (ECCV 2022)

Pytorch implementation of HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation.

PyTorch implementation of our CVPR 2019 paper:

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".

The official implementation of PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes. Yu-Ying Yeh, Zhengqin Li, Yannick Hold-Geoffroy, Rui Zhu, Zexiang Xu, Miloš Hašan, Kalyan Sunkavalli, Manmohan Chandraker IEEE / CVF Computer Vision and Pattern Recognition Conference…

3RScan is a large scale, real-world dataset which features 1482 3D reconstructions / snapshots of 478 naturally changing indoor environments, designed for benchmarking emerging tasks such as long-term SLAM, scene change detection and object instance re-localization

CVPR 2021 (Oral)

The source code of our work "Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

Code of my CVPR'16 paper: "Efficient 3D Room Shape Recovery From a Single Panorama."