HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing
vladbogo.substack.com
Today’s paper introduces HQ-Edit, a new high-quality dataset for instruction-based image editing. HQ-Edit contains around 200,000 edits and leverages advanced foundation models like GPT-4V and DALL-E 3 to generate high-quality image editing pairs at scale. The dataset features high-resolution images rich in detail along with comprehensive editing instructions.
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing
HQ-Edit: A High-Quality Dataset for…
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing
Today’s paper introduces HQ-Edit, a new high-quality dataset for instruction-based image editing. HQ-Edit contains around 200,000 edits and leverages advanced foundation models like GPT-4V and DALL-E 3 to generate high-quality image editing pairs at scale. The dataset features high-resolution images rich in detail along with comprehensive editing instructions.