Expired90% confidenceFactExact time
DiT was proposed by Peebles and Xie in 2023; it replaces the U-Net backbone in traditional diffusion models with Transformer blocks and has become the technical foundation for video generation models such as Sora.
8
Sources
90%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Related Claims
VerifiedDiT was proposed by Peebles and Xie in 2022, introducing the Transformer architecture into the diffusion process.84% similarUnverified扩散变换器（DiT）架构最早由Meta研究院在2022年提出，将扩散模型的噪声预测网络替换为Transformer架构，Sora、Kling、Wan等主流视频生成模型均采用此路线78% similarVerifiedThe DiT (Diffusion Transformer) architecture was proposed in 2022 by Meta AI researcher William Peebles and Saining Xie.76% similarVerifiedThe Diffusion Transformer (DiT) architecture was first proposed by Meta Research in 2022.74% similarUnverifiedSora is based on the Diffusion Transformer (DiT) architecture, which was proposed by William Peebles and Saining Xie of UC Berkeley in 2023.73% similar
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