A stochastic-start ODE sampler for diffusion bridge models avoids the singular start of the probability-flow ODE and beats prior samplers with fewer neural network evaluations.
Analyzing and improving the training dynamics of diffusion models,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models
A stochastic-start ODE sampler for diffusion bridge models avoids the singular start of the probability-flow ODE and beats prior samplers with fewer neural network evaluations.