DOR-Bench is an image benchmark for evaluating object-removal methods in dense scenes, introduced in the paper DORS: Dynamic Attention Routing for Diffusion-based Object Removal in Dense Scenes.

Project page: https://httang1224.github.io/DORS/ Code: https://github.com/httang1224/DORS Paper: https://huggingface.co/papers/2607.16656

This release contains 400 test cases. Each case consists of an input image and a binary mask that identifies the object region to be… See the full description on the dataset page: https://huggingface.co/datasets/qc1752/DOR-Bench.