# chengzhag/DeepPanoContext

<https://repo.masters-masters.com/en/repos/chengzhag/DeepPanoContext>

[Home](https://repo.masters-masters.com/en) › [chengzhag](https://repo.masters-masters.com/en/owners/chengzhag) › [DeepPanoContext](https://repo.masters-masters.com/en/repos/chengzhag/DeepPanoContext)

chengzhag/DeepPanoContext has 106 stars on GitHub. Its RepoMasters card: Prototype tier. 🕸️ \[ICCV'21 Oral\] Official PyTorch code of DeepPanoContext…

| Field | Value |
| --- | --- |
| Owner | [chengzhag](https://repo.masters-masters.com/en/owners/chengzhag) |
| Stars | 106 |
| Forks | 12 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | panorama, ldif, sgcn, rgcn, gcn, deep-learning, pytorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [chengzhag/DeepPanoContext](https://github.com/chengzhag/DeepPanoContext) |

## Repository

🕸️ \[ICCV'21 Oral\] Official PyTorch code of DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.