Image GPT

1. 1Train a large transformer model on pixel sequences
2. 2Evaluate the model's performance on image completion and sampling tasks
3. 3Compare the model's features to those of top convolutional nets in the unsupervised setting
4. 4Explore applications of Image GPT in computer vision and graphics design

AI engineers and researchers can benefit from this breakthrough, as it opens up new possibilities for image generation and processing, and can be applied to various applications such as computer vision and graphics design

💡 Transformer models can be used for image generation and processing, achieving competitive results with convolutional nets

🖼️ Image GPT generates coherent images using transformer models!