Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation

Understand

In subject-driven text-to-image generation, recent works have achieved superior performance by training the model on synthetic datasets containing numerous image pairs.

• Trained on these datasets, generative models can produce text-aligned images for specific subject from arbitrary testing image in a zero-shot manner.
• They even outperform methods which require additional fine-tuning on testing images.
• However, the cost of creating such datasets is prohibitive for most researchers.