DCI-VTON-Virtual-Try-On
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[ACM Multimedia 2023] Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow.
 I completely followed your instructions,but there are only noises in visualization during training process. Is it usual?
I found that in the example diagram, in the mask boundary area, the generated Image has traces of fusion, but the GAN based method does not. Is this a problem...
I have had this issue with the wap dir here in this repo. I am attaching two images. The warp image i am getting vs what I should get. 00017_00...
I am getting issue with cupy module and it's not part of the conda env yaml file when running sh test_VITON.sh i am getting this Also my gpu and cuda...
Is the model you provide trained with DressCode? Can I use the current model for photos with both shirt and pants, full body? Thanks in advance
How difficult is it to provide a clear and straight forward user-centric inference pipeline? Git repo owners should work on their inference pipeline.
hiii... can you provide tutorials on how to use this repo.... it will help a lot..
``` > sh test_VITON.sh ------------ Options ------------- batchSize: 32 data_type: 32 dataroot: /home/ec2-user/repos/VITON-HD display_winsize: 512 fineSize: 512 gen_checkpoint: checkpoints/PFAFN/gen_model_final.pth gpu_ids: [0] input_nc: 3 isTrain: False label_nc: 13 loadSize: 512 max_dataset_size:...