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
387 stars 56 forks source link

Release date for models and code #1

Closed minh-nnm closed 11 months 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.

kentonson 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 10 months ago

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