Verified70% confidenceFactExact time
The DiT (Diffusion Transformer) architecture was proposed in 2022 by Meta AI researcher William Peebles and Saining Xie.
4
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70%
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Long-term
Relevance
7/8/2026
First Seen
Sources
Related Claims
VerifiedDiT was proposed by Peebles and Xie in 2022, introducing the Transformer architecture into the diffusion process.82% similarVerifiedThe Diffusion Transformer (DiT) architecture was first proposed by Meta Research in 2022.82% similarUnverifiedThe DiT architecture was formally proposed by Meta Research in 2023, introducing the Vision Transformer into the denoising process of diffusion models, with computational complexity growing quadratically with sequence length.75% similarUnverifiedSora is based on the Diffusion Transformer (DiT) architecture, which was proposed by William Peebles and Saining Xie of UC Berkeley in 2023.71% similarUnverifiedDify是一家成立于2023年的AI公司69% similar
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