MATEBIT
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[CVPR'23] Masked and Adaptive Transformer for Exemplar Based Image Translation (MATEBIT)
 I used the Celeba (edge-to-face) pretrained model to run the test file, but this error occurred. Is it because the model does not match?
When I change some file paths, I get RuntimeError: Given groups=1, weight of size [64, 15, 3, 3], expected input[2, 3, 258, 258] to have 15 channels, but got 3...
You have written about the utility of ReLU Mask in your paper. The content was briefly that ReLU Mask, which does not require learning parameters, performs better than DynaST's learnable...