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A GAN inversion toolbox based on PyTorch library. We design a unified pipeline for inversion methods and conduct a comprehensive benchmark.

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configs/lsap/lsap_ffhq_r50.yaml and configs/dhr/dhr.yaml

Hi, When I see your code, I can't find the LSNCD and How did you make style space in your code?

When I run the following code that does embed_mode 'code' with dhr or pti: ``` !python scripts/infer.py \ --embed_mode code \ --refine_mode dhr \ --test_dataset_path test_images \ --output_dir code_dhr \...

When running the following code: ``` !python scripts/infer.py \ --embed_mode encoder \ --refine_mode sam \ --test_dataset_path test_images \ --output_dir e4e_sam \ --save_code true \ --auto_resume True \ --stylegan_weights pretrained_models/stylegan2-ffhq-config-f.pt ```...

I see in the readme there is a possibility of doing the refinement with hyperstyle: _This uniform inversion process can easily combine two methods. Users can try any combination of...