dad887/DAD
Detect Anything in Graphic Design: Element-Level Rewards for Autoregressive Detection NeurIPS 2026 DAD improves element localization and recall, recovers occluded regions, and supports image-to-layer decomposition. Qualitative examples and benchmark results are from the paper; radar-chart metrics are normalized to [0.1, 1]. Abstract Graphic designs, such as posters, advertisements, and infographics, are an important medium for communicating information and… See the full description on the dataset page: https://huggingface.co/datasets/dad887/DAD.
| Author / organization | dad887 |
|---|---|
| License (as declared) | other |
| Downloads | 20.9K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 3 May 2026 |
| Last updated at source | 10 October 2026 |
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