Polygonal meshes are widely used in computer graphics, robotics, and game development to represent virtual objects and scenes. Exisitng learning-based methods for 3D object generation have relied on ...

The developed model modified Schrödinger bridge-type diffusion models to add noise to real data through the encoder and reconstructed samples through the decoder. It uses two objective functions, the ...

As we encounter advanced technologies like ChatGPT and BERT daily, it’s intriguing to delve into the core technology driving them – transformers. This article aims to simplify transformers, explaining ...

A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as ...

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...

Hold on - AI and Deep Learning are that easy? Of course, it’s not that easy: There is a big difference between using a model and training a model. Before we can reach the point where we have such a ...