Generative Vision Atlas

Objective option

Transition matching

Model generation as a sequence of discrete-time Markov transition kernels over a continuous state, which subsumes both flow matching and continuous-token autoregression as special cases.

Introduced by

Used by (1)

Transition Matching

Alternatives on this axis

Diffusion-loss autoregression, Diffusion (epsilon/v/x0-prediction), Drifting field, Flow matching / rectified flow, Stochastic interpolant framework, Average (mean) velocity, Next-scale autoregression, Normalizing flow

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