📝 Learning From History: Task-Agnostic Model Contrastive Learning for Image Restoration 🔭

"SPNIR introduces the Self-Prior guided Negative loss to enable "learning from history", which can adaptively and automatically generate negative samples to train the target model without introducing any task-specific bias." [gal30b+] 🤖 #CV

⚙️ https://github.com/Aitical/Task-agnostic_Model_Contrastive_Learning_Image_Restoration
🔗 https://arxiv.org/abs/2309.06023v1 #arxiv

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