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bcmi / DCI-VTON-Virtual-Try-On

[ACM Multimedia 2023] Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow.
https://arxiv.org/abs/2308.06101
MIT License
405 stars 61 forks source link

Release date for models and code #1

Closed minh-nnm closed 1 year ago

minh-nnm commented 1 year ago

Hi,

Once again, great paper. When do you plan to release the other things such as the inference script, pretrained model, and training scripts.

Limbor commented 1 year ago

Hi, @minh-nnm, thanks for your attention! We plan to release the pretrained model and inference code around September 1, and release all resources in September.

kongds1999 commented 1 year ago

Hi， I am interested in your job. Do you have any plans to release the training code in the future?

prashant-kumar-meesho commented 1 year ago

Its almost 1 september, Will you be releasing the code and pretrained checkpoint?

Limbor commented 1 year ago

We have released the code and model weights for inference.

RishiGitH commented 1 year ago

@Limbor Thanks a lot for that, excited to test it out. How do I test it on my own Human image and cloth image . Would i need a pipeline to create the parsings like VITON and by any chance do you have one

Limbor commented 1 year ago

@RishiGitH For image preprocessing, you can refer to HR-VTON’s preprocessing doc. In addition, you also need the help of the warping module to perform inference. We will update the usage of the warping module soon.

sriramun commented 1 year ago

Thank you for your contributions! Are you planning to release the models trained on the Deepfashion dataset?