# tohinz/semantic-object-accuracy-for-generative-text-to-image-synthesis

<https://repo.masters-masters.com/en/repos/tohinz/semantic-object-accuracy-for-generative-text-to-image-synthesis>

[Home](https://repo.masters-masters.com/en) › [tohinz](https://repo.masters-masters.com/en/owners/tohinz) › [semantic-object-accuracy-for-generative-text-to-image-synthesis](https://repo.masters-masters.com/en/repos/tohinz/semantic-object-accuracy-for-generative-text-to-image-synthesis)

tohinz/semantic-object-accuracy-for-generative-text-to-image-synthesis has 106 stars on GitHub. Its RepoMasters card: Prototype tier. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [tohinz](https://repo.masters-masters.com/en/owners/tohinz) |
| Stars | 106 |
| Forks | 23 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | image-generation, image-synthesis, ms-coco, evaluation-metrics, gan, gan-evaluation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [tohinz/semantic-object-accuracy-for-generative-text-to-image-synthesis](https://github.com/tohinz/semantic-object-accuracy-for-generative-text-to-image-synthesis) |

## Repository

Code for "Semantic Object Accuracy for Generative Text-to-Image Synthesis" (TPAMI 2020)

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

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