Survey paper details advancements in text-based image editing

This survey paper provides a comprehensive review of Instruction-based Image Editing (IIE), a field that leverages text prompts to modify images. It categorizes IIE research across data construction, model architectures (from GANs to diffusion and autoregressive models), and evaluation methods. The paper also introduces a new benchmark, CDD-IIE Bench, to rigorously assess model performance and discusses future research directions. AI

IMPACT Provides a structured overview of the rapidly evolving field of text-to-image editing, useful for researchers and developers.

RANK_REASON The item is a survey paper detailing research in a specific AI subfield. [lever_c_demoted from research: ic=1 ai=1.0]

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• CDD-IIE Bench
• diffusion models
• GANs
• Instruction-based Image Editing
• Large Language Models
• Vision-Language Models

• paper
• product

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