Diffusion models are a category of generative AI that excels at creating images, audio, video and other types of data by using a two-step process: forward diffusion and reverse diffusion. The first ...

Diffusion models gradually refine and produce a requested output, sometimes starting from random noise—values generated by the model itself—and sometimes working from user-provided data. Think of ...

With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...

PhysisForcing, a new training framework from Peking University and NVIDIA, lifts robot manipulation success from 16 to 24 percent by injecting physics supervision into video diffusion models at ...