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mchong6/GANsNRoses 886

Official PyTorch repo for GAN's N' Roses. Diverse im2im and vid2vid selfie to anime translation.

AI-secure/Big-but-Invisible-Adversarial-Attack 22

This repo contains the code for CVPR submission "Big but Invisible Adversarial Attack"

aditya12agd5/pytorch_divcolor 17

Diverse Colorization in Torch

mchong6/DeepFashion_Try_On 1

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content",CVPR‘20 https://arxiv.org/abs/2003.05863

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issue openedvchoutas/smplify-x

RuntimeError: size of dimension does not match previous size, operand 1, dim 2

Got this bug

File "/home/minjin/anaconda3/envs/smpl/lib/python3.7/site-packages/smplx/lbs.py", line 266, in blend_shapes blend_shape = torch.einsum('bl,mkl->bmk', [betas, shape_disps]) File "/home/minjin/anaconda3/envs/smpl/lib/python3.7/site-packages/torch/functional.py", line 211, in einsum return torch._C._VariableFunctions.einsum(equation, operands) RuntimeError: size of dimension does not match previous size, operand 1, dim 2

I printed the shapes of betas and shape_disps and they are torch.Size([1, 20]) torch.Size([10475, 3, 400]). What could cause this problem?

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issue commentmchong6/GANsNRoses

about choosing latent dimension

I followed the setting used in MUNIT. I haven't tried with higher dimension counts but potentially if the latent dimension is too high, the style code might encode "too much information" and may lead to content code being ignored.

LeeDongYeun

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issue closedmchong6/GANsNRoses

ONNX support

Hi, thanks for your great work. Can this model be transferred to ONNX format?

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pipecat

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ONNX support

Sorry i have no experience with that.

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issue commentmchong6/GANsNRoses

memory consumption

Yea it is pretty memory intensive. What you can try is reducing the number of channels of the conv layers https://github.com/mchong6/GANsNRoses/blob/414e9e77c3df47d4ecf7941b5dcfdffec67403ee/model.py#L16

or maybe change the architecture.

LeRoii

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