Papers › CogView: Mastering Text-to-Image Generation via Transformers
CogView: Mastering Text-to-Image Generation via Transformers
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang
Text-to-Image generation in the general domain has long been an open problem, which requires both a powerful generative model and cross-modal understanding. We propose CogView, a 4-billion-parameter Transformer with VQ-VAE tokenizer to advance this problem. We also demonstrate the finetuning strategies for various downstream tasks, e.g. style learning, super-resolution, text-image ranking and fashion design, and methods to stabilize pretraining, e.g. eliminating NaN losses. CogView achieves the state-of-the-art FID on the blurred MS COCO dataset, outperforming previous GAN-based models and a recent similar work DALL-E.
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Code
Syntology Ran 4 of 6 code samples harvested from 1 repository linked to this paper; 2 have no recorded run. Of those that ran: 1 ran · fixture could not drive it; 3 ran with no contract checked.
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Code Syntology ran Syntology
6 samples harvested; 4 ran; 0 honoured the contract we drafted; 2 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.
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Harvested from THUDM/CogView. “Ran” means the sample executed on a synthesized input. It does not mean the output is correct, and nothing here reproduces the paper's results. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Text-to-Image Generation | COCO (Common Objects in Context) | CogView | FID | 27.1 | #53 of 69 | Archive leaderboard | report |
| Text-to-Image Generation | COCO (Common Objects in Context) | CogView | FID-1 | 19.4 | #53 of 69 | Archive leaderboard | report |
| Text-to-Image Generation | COCO (Common Objects in Context) | CogView | FID-2 | 13.9 | #53 of 69 | Archive leaderboard | report |
| Text-to-Image Generation | COCO (Common Objects in Context) | CogView | FID-4 | 19.4 | #53 of 69 | Archive leaderboard | report |
| Text-to-Image Generation | COCO (Common Objects in Context) | CogView | FID-8 | 23.6 | #53 of 69 | Archive leaderboard | report |
| Text-to-Image Generation | COCO (Common Objects in Context) | CogView | Inception score | 18.2 | #53 of 69 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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