# CogView: Mastering Text-to-Image Generation via Transformers

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cogview-mastering-text-to-image-generation-via-transformers/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ming Ding,Zhuoyi Yang,Wenyi Hong,Wendi Zheng,Chang Zhou,Da Yin,Junyang Lin,Xu Zou,Zhou Shao,Hongxia Yang,Jie Tang |
| Citations | 383 |
| DOI | 10.48550/arxiv.2105.13290 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2105.13290 |
| OpenAlex ID | https://openalex.org/W3165647589 |
| Type | preprint |
| Year | 2021 |

## Paper authors

- [Ming Ding](https://scholariq.org/researchers/ming-ding/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)

## Paper topics

- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)
- [Advanced Image Processing Techniques](https://scholariq.org/topics/advanced-image-processing-techniques/)
- [Video Analysis and Summarization](https://scholariq.org/topics/video-analysis-and-summarization/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.