Researchers propose Transformer Transformer, a unified diffusion model that generates complete robot embodiments—every link, joint, motor, and inertial property—optimized for a given manipulation demo…
Researchers introduce the Diffusion-corrected Auto-Regressive Fourier Neural Operator (DiffARFNO), a two-stage framework combining an autoregressive Fourier-MIONet with a conditional Denoising Diffusi…
Diffusion generative models are accelerating AI sampling by exploiting hidden low-dimensional structures, with the denoising diffusion implicit model (DDIM) and denoising diffusion probabilistic model…
A new paper reveals that diffusion models and flow matching models are unified under the geometry of Wasserstein space, where diffusion follows a gradient flow of free energy and flow matching follows…