Awesome but...

[aminesoulaymani]

Awesome but where is the code? FOMM is still the leader despite being 3yo! Regards

[wyhsirius]

@aminesoulaymani Thanks for your interest of our work, the code will be released in this month.

[dvm-Omydoo]

I'll fully test it and send patches, I did the same with Paddlegan

[SSUHan]

Thanks for your great work! I'm really waiting for this code to be released asap :)

[zgxiangyang]

Hello，the results of your paper are great. We can't wait for the code.

[wyhsirius]

Code has been released. Enjoy playing LIA.

[dvm-Omydoo]

Code has been released. Enjoy playing LIA.

Thanks a lot, I'll enjoy playing it. Cheers

[iperov]

added this model to https://github.com/iperov/DeepFaceLive

[wyhsirius]

@iperov Hi, thanks! Please consider CLARIFYING on the github page that animation model is from our paper and pay attention that our model is only for NON-COMMERCIAL usage according to the license. Thanks!

[iperov]

it's in the code https://github.com/iperov/DeepFaceLive/blob/master/modelhub/onnx/LIA/LIA.py

class LIA:
    """
    Latent Image Animator: Learning to Animate Images via Latent Space Navigation
    https://github.com/wyhsirius/LIA

i will not write such info on main page.

By the way DeepFaceLive does not contain code from your repo.

[iperov]

made with animator https://www.youtube.com/watch?v=Ng1C78Ceyxg

[linfang010]

@iperov can you share some insights on how to convert LIA from pytorch to onnx

[iperov]

it's depend on how pytorch code is unfriendly with graph and what ops are not implemented in onnx

[linfang010]

it's depend on how pytorch code is unfriendly with graph and what ops are not implemented in onnx

@iperov I tried. But get this error

torch.onnx.errors.SymbolicValueError: Unsupported: ONNX export of convolution for kernel of unknown shape. [Caused by the value '17582 defined in (%17582 : Float(, , , , strides=[8192, 16, 4, 1], requires_grad=1, device=cpu) = onnx::Reshape(%17533, %17581), scope: networks.generator.Generator::/networks.styledecoder.Synthesis::dec/networks.styledecoder.StyledConv::conv1/networks.styledecoder.ModulatedConv2d::conv # /data/linfang/ONNXRuntime/LIA/networks/styledecoder.py:274:0 )' (type 'Tensor') in the TorchScript graph. The containing node has kind 'onnx::Reshape'.]

it's F.conv2d(input, weight, padding=self.padding, groups=batch) that cause the error. I am confused because kernel size is explicitly defined in weight. What should i do?

[Runist]

it's depend on how pytorch code is unfriendly with graph and what ops are not implemented in onnx

@iperov I tried. But get this error

torch.onnx.errors.SymbolicValueError: Unsupported: ONNX export of convolution for kernel of unknown shape. [Caused by the value '17582 defined in (%17582 : Float(, , , , strides=[8192, 16, 4, 1], requires_grad=1, device=cpu) = onnx::Reshape(%17533, %17581), scope: networks.generator.Generator::/networks.styledecoder.Synthesis::dec/networks.styledecoder.StyledConv::conv1/networks.styledecoder.ModulatedConv2d::conv # /data/linfang/ONNXRuntime/LIA/networks/styledecoder.py:274:0 )' (type 'Tensor') in the TorchScript graph. The containing node has kind 'onnx::Reshape'.]

it's F.conv2d(input, weight, padding=self.padding, groups=batch) that cause the error. I am confused because kernel size is explicitly defined in weight. What should i do?

Do you slove it ? I meet same problem.