AI research institute

GVHMR is an innovative human motion restoration technology that solves the problem of recovering world-positioned human motion from monocular video through a gravity perspective coordinate system. This technique can reduce the ambiguity of learning image-pose mapping and avoid the cumulative error of consecutive images in autoregressive methods. GVHMR has performed well in wild benchmark tests, not only surpassing the existing state-of-the-art technology in accuracy and speed, but its training process and model weights are open to the public, which has high scientific research and practical value.

DIG-In is a library for evaluating differences in quality, diversity, and consistency of text-to-image generative models across geographical regions. It uses GeoDE and DollarStreet as reference data sets, calculates the relevant features and accuracy of the generated images, coverage indicators, and uses the CLIPScore indicator to measure the performance of the model. The library enables researchers and developers to audit image generation models for geographic diversity to ensure they are fair and inclusive globally.

InstantX is an independent research organization focused on AI content generation, working on text-to-image generation technology. Its research projects include style-preserving text-to-image generation (InstantStyle) and zero-shot identity-preserving generation (InstantID). The organization updates and communicates projects through the GitHub community to promote the application and development of AI in the field of image generation.