1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.AI2023★ 1 cited
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
Guoqiang Zhang, Niwa Kenta, W. Bastiaan Kleijn
We propose lookahead diffusion probabilistic models (LA-DPMs) to exploit the correlation in the outputs of the deep neural networks (DNNs) over subsequent timesteps in diffusion pr…
cs.LG2023
On Accelerating Diffusion-Based Sampling Process via Improved Integration Approximation
Guoqiang Zhang, Niwa Kenta, W. Bastiaan Kleijn
A popular approach to sample a diffusion-based generative model is to solve an ordinary differential equation (ODE). In existing samplers, the coefficients of the ODE solvers are p…