ByteDance Proposes Data-Space Iteration for Few-Step Generation
ByteDance's new paper "Few-Step Generation via Data-Space Iteration" proposes iterating directly in data space instead of discretizing flow trajectories, turning diffusion models into few-step generators; the third such method from ByteDance, now open-sourced.
2026-10-11 ~ 2026-10-13 · 4 related posts
- Data-Space Iteration: few-step flow matching generation without timestep discretization — kastnerkyle · 2026-10-11
- Data-space iteration: a new few-step generation paradigm removes flow discretization, arXiv paper shows — bdsqlsz · 2026-10-12
- Paper: DMD turns diffusion models into looped models iterating in data space — CSProfKGD · 2026-10-12
- ByteDance Unveils Data-Space Iteration, Its Third Few-Step Distillation Method — Total-Resort-3120 · 2026-10-13