Manifold Preserving Guided Diffusion.
Yutong HeNaoki MurataChieh-Hsin LaiYuhta TakidaToshimitsu UesakaDongjun KimWei-Hsiang LiaoYuki MitsufujiJ. Zico KolterRuslan SalakhutdinovStefano ErmonPublished in: CoRR (2023)
Keyphrases
- diffusion maps
- manifold learning
- anisotropic diffusion
- heat kernel
- low dimensional
- dimensionality reduction
- diffusion process
- lower dimensional
- high dimensional
- euclidean space
- diffusion model
- diffusion processes
- shape analysis
- riemannian manifolds
- partial differential equations
- feature space
- nonlinear diffusion
- laplace beltrami
- principal component analysis