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yindaz avatar

yindaz/pbrs

0
View on GitHub↗
142 stars·26 forks·C++·MIT·9 views

Pbrs

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.

Features

  • Scene Understanding - Physically-based rendering for indoor scene understanding tasks.

Star history

Star history chart for yindaz/pbrsStar history chart for yindaz/pbrs

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Pbrs

These projects share indexed features with Pbrs. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • cyang0515/noncuboidroomCYang0515 avatar

    CYang0515/NonCuboidRoom

    116View on GitHub↗

    Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image

    Python
    View on GitHub↗116
  • drprojects/deepviewaggdrprojects avatar

    drprojects/DeepViewAgg

    236View on GitHub↗

    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 !

    Python
    View on GitHub↗236
  • facebookresearch/habitat-apifacebookresearch avatar

    facebookresearch/habitat-api

    3,035View on GitHub↗

    Habitat-Lab

    Python
    View on GitHub↗3,035
  • alexsax/2d-3d-semanticsalexsax avatar

    alexsax/2D-3D-Semantics

    532View on GitHub↗

    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…

    C++
    View on GitHub↗532
Compare all 26 related projects→

Frequently asked questions

What does yindaz/pbrs do?

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.

What are the main features of yindaz/pbrs?

The main features of yindaz/pbrs are: Scene Understanding.

Which projects share features with yindaz/pbrs?

Projects with overlapping indexed features include: cyang0515/noncuboidroom — Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image. 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… alexsax/2d-3d-semantics — The 2D-3D-S dataset provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with…