Author

Jing Jia

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Controllable and Constrained Sampling in Diffusion Models via Initial Noise Perturbation

This work observes an interesting phenomenon: the relationship between the change of generation outputs and the scale of initial noise perturbation is highly linear through the diffusion ODE sampling, and proposes a novel C ontrollable and C onstrained S ampling ( CCS) method, along with a new controller algorithm for...

Bo-Wen Song, Ze-Cheng Zhang, Zhaoxu Luo et al. · 0 citations

#machine learning Review Sep 2026

Unlocking Few-Step Diffusion for Faithful Previews

Sampling latency compounds in diffusion workflows, where users generate and discard many candidates before keeping one. Surprisingly, the poor outputs of standard few-step samplers do not reflect a lack of reconstruction capacity: by optimizing only the initial noise, frozen 3-4-step samplers can closely reproduce thei...

Jing Jia, Si-Fan Liu, Guanyang Wang · 0 citations