Projects sharing features with Zind

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

The Replica Dataset is a dataset of high quality reconstructions of a variety of indoor spaces. Each reconstruction has clean dense geometry, high resolution and high dynamic range textures, glass and mirror surface information, planar segmentation as well as semantic class and instance…

LayoutMP3D is a 3D layout Dataset from a subset of Matterport3D. Matterport3D contains accurate depth ground truth from time-of-flight(ToF) sensors, our dataset can provide both layout and depth information. Here we release our layout annotation with Manhattan assumption. Step1: Download…

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,…

Deep learning has revolutionized many scene perception tasks over the past decade. Some of these improvements can be attributed to the development of large labeled datasets. The creation of such datasets can be an expensive, time-consuming, and is an imperfect process. To address these issues,…

This is not an officially supported Google product.

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

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:

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.

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…

PyTorch implementation of our CVPR 2019 paper:

We introduce the ScanNet-Layout dataset for benchmarking general 3D room layout estimation from single view. The benchmark includes 293 views from the ScanNet dataset that span different layout settings, are equally distributed to represent both cuboid and general room layouts, challenging views…

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

Official code for "Structured Bird’s-Eye-View Traffic Scene Understanding from Onboard Images" (ICCV 2021)