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New 4K dataset released for image restoration and generation research

Researchers have introduced the 4K Large Scale Dataset and Benchmark (4KLSDB), a new collection of nearly 130,000 high-resolution images. This dataset is designed to address the limitations of existing resources for training advanced super-resolution and text-to-image models. The 4KLSDB includes diverse categories and has undergone extensive filtering and annotation, demonstrating its effectiveness in improving model performance on native 4K benchmarks. AI

IMPACT Provides a crucial resource for training higher-fidelity image synthesis and restoration models at native 4K resolution.

RANK_REASON The cluster describes the release of a new academic dataset and benchmark for AI research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zihao Zhu, Kuan-Ru Huang, Zhaoming Xu, Renjie Li, Bo Wu, Ruizheng Bai, Mingyang Wu, Sayak Paul, Zhengzhong Tu ·

    4KLSDB: A Large-Scale Dataset for 4K Image Restoration and Generation

    arXiv:2605.24762v1 Announce Type: new Abstract: High-resolution datasets are essential for advancing super-resolution (SR) and text-to-image (T2I) diffusion research. However, current publicly available datasets lack both the native 4K resolution and the extensive scale necessary…