pith. sign in

SiT: Explor- ing flow and diffusion-based generative models with scalable interpolant Transformers

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it

citation-role summary

baseline 1

citation-polarity summary

fields

cs.CV 1

years

2025 1

verdicts

UNVERDICTED 1

roles

baseline 1

polarities

baseline 1

representative citing papers

Back to Basics: Let Denoising Generative Models Denoise

cs.CV · 2025-11-17 · unverdicted · novelty 6.0

Directly predicting clean data with large-patch pixel Transformers enables strong generative performance in diffusion models where noise prediction fails at high dimensions.

citing papers explorer

Showing 1 of 1 citing paper.

  • Back to Basics: Let Denoising Generative Models Denoise cs.CV · 2025-11-17 · unverdicted · none · ref 40

    Directly predicting clean data with large-patch pixel Transformers enables strong generative performance in diffusion models where noise prediction fails at high dimensions.