agusgun/OmniText-Bench

OmniText-Bench OmniText-Bench is a benchmark for controllable text-image manipulation (TIM). It evaluates five applications on the same 150 input images: text removal, rescaling, repositioning, editing (content and style-reference variants) and insertion (content and style-reference variants). Every sample ships with the input image, task masks, ground-truth results and, where applicable, a reference image for style transfer. It was introduced in the ICLR 2026 paper OmniText: A… See the full description on the dataset page: https://huggingface.co/datasets/agusgun/OmniText-Bench.