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shurans avatar

shurans/sscnet

0
View on GitHub↗
346 stars·89 forks·Jupyter Notebook·7 viewssscnet.cs.princeton.edu↗

Sscnet

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…

Features

  • Scene Understanding - Performs semantic scene completion from single depth images.
  • Shape Completion - Semantic scene completion from single depth images.

Star history

Star history chart for shurans/sscnetStar history chart for shurans/sscnet

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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Frequently asked questions

What does shurans/sscnet do?

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…

What are the main features of shurans/sscnet?

The main features of shurans/sscnet are: Scene Understanding, Shape Completion.

Which projects share features with shurans/sscnet?

Projects with overlapping indexed features include: allenxiangx/snowflakenet — Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han. angeladai/cnncomplete — This repo contains code to train a volumetric deep neural network to complete partially scanned 3D shapes. More… angeladai/scancomplete — [CVPR'18] ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans. charlescxk/3d-sketchaware-ssc — Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch. chriswu1997/multimodal-shape-completion — This repository provides PyTorch implementation of our paper:. alexsax/2d-3d-semantics — The 2D-3D-S dataset provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with…

Projects sharing features with Sscnet

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

    AllenXiangX/SnowflakeNet

    207View on GitHub↗

    Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han

    Python
    View on GitHub↗207
  • angeladai/cnncompleteangeladai avatar

    angeladai/cnncomplete

    142View on GitHub↗

    This repo contains code to train a volumetric deep neural network to complete partially scanned 3D shapes. More information can be found in our paper .

    C++
    View on GitHub↗142
  • angeladai/scancompleteangeladai avatar

    angeladai/ScanComplete

    271View on GitHub↗

    CVPR'18 ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

    Python
    View on GitHub↗271
  • 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
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