VCLab-PolyU/GGT-100K
GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration Real-world LQ–HQ pairs from MFMs to expand IR generalization boundaries. Xiangtao Kong1,2,* | Jixin Zhao1,2,* | Lingchen Sun1,2; | Rongyuan Wu1,2; | Lei Zhang1,2,† 1 The Hong Kong Polytechnic University2 OPPO Research Institute * Equal contribution. † Corresponding author. 📰 News 2026-06-01: Released the paper. 2026-05-28: Released the GGT-100K dataset, baseline training code… See the full description on the dataset page: https://huggingface.co/datasets/VCLab-PolyU/GGT-100K.
| Author / organization | VCLab-PolyU |
|---|---|
| License (as declared) | cc-by-nc-nd-4.0 |
| Downloads | 731 (as reported by Hugging Face) |
| Likes | 45 |
| Created | 21 May 2026 |
| Last updated at source | 1 June 2026 |
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