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Dixin-Lab / generalized-face-landmarker

Official PyTorch implementation for the paper Generalizable Face Landmarking Guided by Conditional Face Warping (CVPR 2024).
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Why not using torch.grid_sample in dense_image_warp function? #1

Open nttstar opened 1 week ago

nttstar commented 1 week ago

Thanks

plustwo0 commented 6 days ago

We employ the warping following WarpGAN. It's an alternative way to warp the image using torch.grid_sample in the Line 60 of warp.py instead of dense_image_warp() function, as long as the warping process is differentiable.

Thanks for the advice!