Unsupervised HDR Image and Video Tone Mapping via Contrastive Learning

This project presents a unified framework (IVTMNet) for unsupervised image and video tone mapping, utilizing contrastive learning to improve the training process. It introduces a novel latent code to measure similarity between tone-mapped results and employs spatial-feature-enhan

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