26 open-source projects similar to pnxd/ffl-3dog, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best FFL 3DOG alternative.
The 2D-3D-S dataset provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annotations. It covers over 6,000 m2 collected in 6 large-scale indoor areas that originate from 3 different buildings. It contains over 70,000 RGB…
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image
Official implementation for Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation (CVPR'22 Best Paper Finalist 🎉) If you ❤️ or simply use this project, don't forget to give the repository a ⭐, it means a lot to us !
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
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).
🔥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.
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:
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
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)
This package includes the whole pipeline for generating physically based rendering synthetic data for indoor scene understanding. We also provide download links for most of the intermediate and final results. Please refer to the project webpage (http://pbrs.cs.princeton.edu) for more details.
PyTorch implementation of 'SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation' ICCV 2019
The Zillow Indoor Dataset (ZInD) provides extensive visual data that covers a real world distribution of unfurnished residential homes. It consists of primary 360º panoramas with annotated room layouts, windows, doors and openings (W/D/O), merged rooms, secondary localized panoramas, and final…
Torch implementation of our CVPR 18 paper: "LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image"