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[ICCV 23] Official implementation of Alignment-free HDR Deghosting with Sematnics Consistent Transformer (Code & Dataset)

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你好, 首先,感谢您精彩的工作 我在尝试复现模型的时候,出现了显存报错。debug时发现在G-SAB模块中,tensor的尺寸过大(150万),导致显存溢出。但是我并未修改您的模型。请问是什么问题呢? 期待您的回复!

I'm trying to work with the repository from Nonu116 but even testing with the pretrained model gives me bad results. sorry for the off topic issue

I use 2 NVIDIA A100 80GB PCIe, 160GB GPU memory total, but I still got CUDA out of memory error. I didnot change ur code, just git clone, pip install...

How ur dataset has test images of 1496 x 1000 size, but your results benchmark has 1500 x 1000 of predicted image ? ![image](https://github.com/Zongwei97/SCTNet/assets/57376369/655402ba-0e97-4d8f-8d0b-51eb7d86e718) ![image](https://github.com/Zongwei97/SCTNet/assets/57376369/928d19ad-d12e-434b-bffa-5186e3d09a09)

Thank you for your excellent work. I'd like to ask how many GPUs you used for training the model and how long the training process took?