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sangyun884 / HR-VITON

Official PyTorch implementation for the paper High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions (ECCV 2022).
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Could you supply the code to generate agnostic image? #13

Closed dkl78167816 closed 2 years ago

Atotem commented 2 years ago

Got u bro: https://github.com/bbangsik13/ALIAS

dkl78167816 commented 2 years ago

Got u bro: https://github.com/bbangsik13/ALIAS

Thanks!

muhammad-ahmed-ghani commented 1 year ago

Hi @Atotem this link is not valid. Can you please share the code once again ? Thanks

Atotem commented 1 year ago

Ok, So I contacted the original owner of the repo. According to him, this should do the job: 'https://github.com/shadow2496/VITON-HD/blob/main/datasets.py line 36 for the agnostic representation'

Apparently, This repo is still being developed. I hope I answered your question @muhammad-ahmed-ghani.

Atotem commented 1 year ago

Correcting myself, the model in the cp_dataset.py file, generates the agnostic representation. https://github.com/sangyun884/HR-VITON/blob/54c9b3c59faab90ea7b99b4c839197c1f2128e6b/cp_dataset.py#L49

muhammad-ahmed-ghani commented 1 year ago

Correcting myself, the model in the cp_dataset.py file, generates the agnostic representation.

https://github.com/sangyun884/HR-VITON/blob/54c9b3c59faab90ea7b99b4c839197c1f2128e6b/cp_dataset.py#L49

Thanks.