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Mean-shift distillation for diffusion mode seeking

Vikas Thamizharasan, Nikitas Chatzis, Iliyan Georgiev, Matthew Fisher, Difan Liu, Nanxuan Zhao, Evangelos Kalogerakis, Michal Luk ´aˇc · 2026 · arXiv 2502.15989

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Variance Reduction for Expectations with Diffusion Teachers

cs.LG · 2026-05-20 · unverdicted · novelty 6.0

CARV amortizes upstream diffusion teacher costs over noise resamples with timestep importance sampling and stratified-inverse-CDF sampling, delivering 2-3x effective compute gains in text-to-3D experiments and order-of-magnitude variance cuts in single-step distillation.

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  • Variance Reduction for Expectations with Diffusion Teachers cs.LG · 2026-05-20 · unverdicted · none · ref 80

    CARV amortizes upstream diffusion teacher costs over noise resamples with timestep importance sampling and stratified-inverse-CDF sampling, delivering 2-3x effective compute gains in text-to-3D experiments and order-of-magnitude variance cuts in single-step distillation.