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Home Page: https://muelea.github.io/buddi/
License: MIT License
Our model BUDDI learns the joint distribution of interacting people
Home Page: https://muelea.github.io/buddi/
License: MIT License
Hi!
Great work! Is there a demo script for running the optimization on custom data? If not could you detail the steps needed?
Thanks
Hi,
Thanks for your great work! But it seems that there's no pseudo ground-truth fits for FlickrCI3D and auxiliary data in https://github.com/muelea/buddi/blob/e5825fe4d23707433ea83d0f95642e77757cf519/documentation/url.url! Could you please upload them if possible? Thanks in advance!!!
Hi ๐ Thanks for the project โค I've created a colab notebook https://github.com/camenduru/buddi-colab
However, I'm unsure about how to generate vitpose keypoints. Could you please help me with this?
Hello, I can't download your pseudo-ground truth fits for dataset processing, could you check the pseudo-ground truth fits URL link in buddi/documentation
/DATA.md? Thanks!
In llib/methods/hhc_diffusion/evaluation/sample.py, it seems that lines 17 and 20 import the functions build_renderer, render_360_views, and eval_diffusion. However, upon reviewing your released code, I couldn't locate the exact location of these functions. Could you please clarify where these functions are defined or provide additional information regarding their source?
it can be real time if not vis it, how many fps ?
Hi,
While you make the 'train_val_split.npz' files available, can you specify what the data splits are for all the datasets (Flickr, CHI3D and Hi4D)?
Thank you!
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