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 ...

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 ...

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 ...

Beijing Zhongke Journal Publising Co. Ltd. Music generation is a key use of AI for arts, and is arguably one of the earliest forms of AI art. However, contemporary generative music models rely ...

One of the more powerful – and visually stunning – advances in generative AI has been the development of Stable Diffusion models. These models are used for image generation, image denoising, ...

At its annual Think conference in Orlando, IBM unveiled a range of new generative AI offerings under the moniker watsonx. The initial iteration of watsonx consists of three key components - watsonx.ai ...

Advance in optical computing may lead to ultrafast and secure image generators while using less energy. (Nanowerk News) Today’s popular chatbots and image generators have a severe downside for the ...