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Would be awesome if the Inversion Demo could be set up on colab. That way we could also try making 3d avatars of ourselfs with just a single input image.

I released my EG3D inversion code for your reference, you can find it here: [EG3D-projector](https://github.com/oneThousand1000/EG3D-projector). ---------------------- Thanks for the impressive work! As you mentioned in the paper, you use Pivotal...

"We use an off-the-shelf face detection and pose-extraction pipeline to both identify the face region and label the image with a pose" Would it be possible to add the code...

hi, nice repo. where can i know how much time does it take in total to train? where can i know how many epoch does it take in total to...

Dear all, after i loaded the weight in the visualizer, the following problem appeared. Do you guys know what is the cause of it? I am running pytorch 1.12 cuda...

Thank you for your great work! I am wondering how to generate mesh with texture. Currently, I try to project the result mesh vertices, given the default camera parameters, back...

Excuse me, I meet the problem in pre-data because I find the ffhq dataset is so big to download. Then I directly download the thumbnails128x128 from Google drive, but it...

Hello, I tried to use the dataset with 128*128 resolution to train my own model. I have question of how to upsample the result in training right now I only...

Hi! I want to finetune the synthesis network while keeping the mapping network fixed. I have tried many solutions, including freezing the weights of the mapping network and detaching the...