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[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

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Why disable shuffle in train dataloader? It is strange since random shuffle in training is standard practice. Furthermore, I try to finetune SeeSR in my data, the results become even...

Excellent work!!, I follow the README to infer results, however, I found the MANIQA is lower than the original paper (0.5050 vs 0.6198). I would greatly appreciate it if you...

I encountered the following problems when running the webui of sd-turbo: ```bash error : OSError: Incorrect path_or_model_id: 'preset/models/models--stabilityai--sd-turbo/snapshots/1681ed09e0cff58eeb41e878a49893228b78b94c/feature_extractor'. Please provide either the path to a local folder or the repo_id...

Great work on this - lots of improvements - this is a great, and memory efficient approach. when I navigate to the sd-turbo model using the provided link there is...

Thank you for sharing the code, but I found that the training code does not seem to introduce the hard prompts in DAPE during training, the screenshot is as follows,...

It's too slow for big size image. What can I do?

你给的链接里面没有dape模型啊

hello i followed your instructions for installation however when i got to run `python gradio_seesr.py` i get the following: `WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:` `PyTorch...

Hi, I use 500 human face images(only contain 6 id) to train this model, but when I test the trained data, the result is strange, I test using A people,...

In the utils_data/make_tags.py, why not use the lora finetuned model? I found in the training, you just encode the tag directly, and did not make any change.