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Dataset · Hugging Face

C-Tianyu/EdiVal

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.

Author / organizationC-Tianyu
License (as declared)mit
Downloads3.9K (as reported by Hugging Face)
Likes4
Created20 October 2025
Last updated at source1 March 2026
image-editingmulti-turn-editinginstruction-followingbenchmarkdiffusion-models
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