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Hi, we use a single gpu for training for all the experiments in the paper except the tanks and temples dataset with high resolution cues (C.3 in the paper). But in general I think using large batch size (more gpus) will give you better results. In simple scene like dtu or replica, the difference will not be significant.
Hello author, I would like to ask if I do not use distributed training and only use one GPU for training, will it affect the results?
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