# chengzhag/Implicit3DUnderstanding

<https://repo.masters-masters.com/en/repos/chengzhag/Implicit3DUnderstanding>

[Home](https://repo.masters-masters.com/en) › [chengzhag](https://repo.masters-masters.com/en/owners/chengzhag) › [Implicit3DUnderstanding](https://repo.masters-masters.com/en/repos/chengzhag/Implicit3DUnderstanding)

chengzhag/Implicit3DUnderstanding has 219 stars on GitHub. Its RepoMasters card: Prototype tier. 🕸️ \[CVPR'21\] Official PyTorch code of Holistic 3D Scene…

| Field | Value |
| --- | --- |
| Owner | [chengzhag](https://repo.masters-masters.com/en/owners/chengzhag) |
| Stars | 219 |
| Forks | 37 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | ldif, coop, scene-graph, sgcn, deep-learning, pytorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [chengzhag/Implicit3DUnderstanding](https://github.com/chengzhag/Implicit3DUnderstanding) |

## Repository

🕸️ \[CVPR'21\] Official PyTorch code of Holistic 3D Scene Understanding from a Single Image with Implicit Representation. Also includes a PyTorch implementation of the decoder of LDIF (from 3D Shape Representation with Local Deep Implicit Functions).

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

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