Dataset · Hugging Face

ipekoztas/ropemover

Name: ropemover
Creator: ipekoztas
License: cc-by-4.0
Keywords: task_categories:image-to-image, language:en, license:cc-by-4.0, size_categories:n<1K, format:json, modality:image, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2606.27332, region:us, image-editing, drag-editing

RoPEMover: Captured Object Relocation Dataset This dataset is part of RoPEMover: Depth-Aware Object Relocation via Positional Embeddings (NeurIPS 2026). It holds the real photographs used for the paper's real-image fine-tuning, which comes after training on the synthetic CLEVR-10k data. Project page · Paper (arXiv) · Code · Synthetic data: CLEVR-10k There are 166 real before/after photo pairs of indoor scenes. Each pair shows one everyday object (toys, vases, bottles, books and… See the full description on the dataset page: https://huggingface.co/datasets/ipekoztas/ropemover.

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Author / organization	ipekoztas
License (as declared)	cc-by-4.0
Downloads	683 (as reported by Hugging Face)
Likes	0
Created	4 October 2026
Last updated at source	4 October 2026

image-editingdrag-editingobject-motionobject-relocationdepthreal-images

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ipekoztas/clevr_10kDataset

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