Edit model card

HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution

[Github] | [Paper] | [Supp] | [Video] | [Visual Results]

HiT-SR is a general strategy to improve transformer-based SR methods. We apply our HiT-SR approach to improve SwinIR-Light, SwinIR-NG and SRFormer-Light, corresponding to our HiT-SIR, HiT-SNG, and HiT-SRF. Compared with the original structure, our improved models achieve better SR performance while reducing computational burdens.

Paper: https://huggingface.co/papers/2407.05878

🤗 Please refer to https://huggingface.co/XiangZ/hit-sr for usage.

Downloads last month
24
Safetensors
Model size
772k params
Tensor type
F32
·
Inference Examples
Unable to determine this model's library. Check the docs .