2026-10-12 · America/Los_Angeles · 社区动态 · #10

Looped Diffusion Transformer: the same blocks run several times inside each denoising step, and loop depth can be changed at sampling time [R]

Paper: Looped Diffusion Transformer (arXiv 2609.40305, 30 Sep). Instead of making a text-to-image DiT bigger, it runs a shared group of transformer blocks several times inside each denoising step. The authors report that naive looping doesn't reliably help, and fix it with deep supervision on every loop plus self-modulating attention. Their headline claims: a 260M looped model beats a model 6.5x larger on several benchmarks with 4.9x less inference compute, and at a fixed inference budget, more loop depth helps more than more denoising steps. The B/16 code and weights are MIT (the weights…

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