Manifold Preserving Guided Diffusion.
Yutong HeNaoki MurataChieh-Hsin LaiYuhta TakidaToshimitsu UesakaDongjun KimWei-Hsiang LiaoYuki MitsufujiJ. Zico KolterRuslan SalakhutdinovStefano ErmonPublished in: ICLR (2024)
Keyphrases
- diffusion maps
- manifold learning
- diffusion process
- euclidean space
- diffusion processes
- anisotropic diffusion
- low dimensional
- heat kernel
- high dimensional
- lower dimensional
- nonlinear dimensionality reduction
- diffusion model
- information diffusion
- feature space
- fisher information
- image details
- neural network
- geometric structure
- riemannian manifolds
- graph embedding
- dimensionality reduction
- parameter space
- euclidean distance