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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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Create Train Dataset for our own images!! Help Needed #15

Closed Arnavgoyal00 closed 1 year ago

Arnavgoyal00 commented 2 years ago

How can generate agnostic-v3.2,densepose and parse-agnostic-v3.2 for my own human image? Please help!

martacosano commented 2 years ago

Hello! the agnostic image and segmentation map are from the VITON-HD repository and the densepose is from detectron2

tuyendb commented 1 year ago

Hello! the agnostic image and segmentation map are from the VITON-HD repository and the densepose is from detectron2

what about openpose ????

koo616 commented 1 year ago

Hello guys. I just created 'Preprocess.md', the description for our preprocess including human parsing. Please check it :)