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Is it a good idea to train IP-Adapter to act like a viton (virtual try-on)? The training data would include images of cloth and prompts as input and a model wearing that dress as ground truth.
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Are you planning on also sharing the training dataset?
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https://github.com/bcmi/DCI-VTON-Virtual-Try-On
pre-warped cloth, mask 전처리된 이미지를 colab으로 내려받기
- Dropbox link : https://www.dropbox.com/s/10bfat0kg4si1bu/zalando-hd-resized.zip?dl=0
- bash 명령어 알아보…
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I propose adding a Semantic Segmentation Module utilizing the U-Net architecture. This feature will enable pixel-wise segmentation, enhancing our repository's capabilities for applications in various …
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VITON-HD | CVPR 2021 | VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization (https://arxiv.org/abs/2103.16874) | PyTorch (https://github.com/shadow2496/VITON-HD)
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I have human images but how can I create image-parse images in folder "VITON-HD\data\train\image-parse-v3".
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Got Error message bellow, any ideas?
--- error message below
Error occurred when executing stabel_vition:
CrossAttention.forward() got an unexpected keyword argument 'hint'
File "D:\ai\Co…
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Hi @xiezhy6, thanks for authoring this wonderful work!
I realized that the `cloth_parse` data is missing from the training dataset for VITON-HD-512:
erro…