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C-Tianyu/
EdiVal

instruction-following

benchmark

diffusion-models

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EdiVal: Multi-Turn Image Editing Generations

Project Page | GitHub | Paper (arXiv) This repository hosts the data and generated outputs for EdiVal-Agent, an object-centric framework for automated, fine-grained evaluation of multi-turn image editing (ICLR 2026).

Dataset Summary

EdiVal-Agent benchmarks how well image editing models follow a sequence of instructions across multiple turns. This repository specifically contains the standardized input images and the… See the full description on the dataset page: https://huggingface.co/datasets/C-Tianyu/EdiVal.