2 papers
cs.CV2026
PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer
David Picard, Nicolas Dufour, Lucas Degeorge +14
This paper introduces the Polynomial Mixer (PoM), a novel token mixing mechanism with linear complexity that serves as a drop-in replacement for self-attention. PoM aggregates inpu…
cs.CV2025
One-step Diffusion Models with Bregman Density Ratio Matching
Yuanzhi Zhu, Eleftherios Tsonis, Lucas Degeorge +1
Diffusion and flow models achieve high generative quality but remain computationally expensive due to slow multi-step sampling. Distillation methods accelerate them by training fas…