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[ICCV 2023] StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces

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``` from argparse import Namespace from models.psp import pSp import torch.nn as nn import torch import onnx #Function to Convert to ONNX def Convert_ONNX(): device = "cuda" if torch.cuda.is_available() else...

Thanks for awesome work!. How can i obtain a attribute edit vector (exp: smile, glasses, ...)

In the paper, the author wrote as follows: "In Fig. 2(e), the first-layer feature fails to provide enough spatial information for a valid rotation. In comparison, the 7-th layer has...

This is awesome job. But I have some problem, when using huggingface "Image Face Editing" strange image are generated. The texture looks like "leather", only light hair color 1.3. Below...

I generated output video using video_editing.py, but the output size is different from the input resolution. (The bottom part is cut) The input is portrait video, and the head is...

Great job! I have some questions about the code. If I edit images, do I need to do the following? Will removal have an impact on the results? ![微信图片_20231020154958](https://github.com/williamyang1991/StyleGANEX/assets/89123295/cb59af9a-ce9f-4a11-aa6d-f2c119e22a7a)

Can StyleGANEX be used for Face Restoration tasks without zooming in,like https://github.com/yangxy/GPEN

Hi fantastic job! I don't understand the output resolution in video editing, it looks like it tracks a single face and zooms in, what would be the best way to...