arXiv stat.ML
· Papers
Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions
arXiv:2409.18804v3 Announce Type: replace Abstract: Denoising Diffusion Probabilistic Models (DDPM) are powerful state-of-the-art methods used to generate synthetic data from high-dimensional data distributions and are widely used for image, audio, and video generation as well as many more applications in science and b