Verified65% confidenceFactTime unknown
Compared to earlier U-Net-based diffusion models, the DiT architecture has stronger temporal consistency when processing long-sequence video frames.
3
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65%
Confidence
Long-term
Relevance
5/31/2026
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UnverifiedIn text-to-video model architectures, early models mostly adopted U-Net structures (such as Stable Video Diffusion), while new-generation models tend to use Transformer architectures (such as DiT).79% similarUnverified视频超分辨率（VSR）通过光流估计对齐相邻帧并融合多帧信息重建目标帧，在恢复细节的同时保证时序稳定性74% similarVerifiedCurrent mainstream text-to-video models are generally based on diffusion model architectures, generating coherent video frame sequences by extending image generation capability along the temporal dimension.73% similarUnverifiedProcedural generation achieves better cross-frame consistency than diffusion model video generators because every frame is calculated based on the same set of logic.72% similarUnverifiedState-of-the-art video generation models such as Sora and Stable Video Diffusion both adopt DiT or its variants72% similar
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