CDD-IIE Bench

Survey on instruction-based image editing: taxonomy, benchmarks, and CDD-IIE Bench

A new arXiv survey systematically reviews instruction-based image editing (IIE) research across five dimensions: task taxonomy, training data construction, architectural evolution (GAN to diffusion to autoregressive), evaluation metrics, and commercial solutions. The authors introduce CDD-IIE Bench, a new diagnostic benchmark designed to rigorously assess multiple aspects of IIE model performance. The survey covers the role of LLMs and VLMs in enabling practical one-sentence image editing systems and compares open-source solutions empirically.