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
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image
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…
Las características principales de alexsax/2d-3d-semantics son: Scene Understanding.
Las alternativas de código abierto para alexsax/2d-3d-semantics incluyen: drprojects/deepviewagg — Official implementation for Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation… facebookresearch/habitat-api — Habitat-Lab. facebookresearch/habitat-sim — Habitat-sim is a high-performance 3D simulation platform designed for training and benchmarking embodied AI agents… fyu/dilation — Properties of dilated convolution are discussed in our ICLR 2016 conference paper. This repository contains the… jiajunwu/3dinn — This repository contains pre-trained models and evaluation code for the project 'Single Image 3D Interpreter Network'… cyang0515/noncuboidroom — Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image.