Unverified85% confidenceFactTime unknown
2023年后,以Stable Video Diffusion、Sora为代表的时序扩散模型开始将视频理解为时空连续体,能够在潜空间中同时建模多帧之间的运动关系
1
Sources
85%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
AI真人短剧制作实战:Cdance 2.0如何颠覆传统制作流程
bilibiliAIGC饼干
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UnverifiedSora 采用 Video Diffusion Transformer(DiT),将视频压缩为时空 Patch 后进行扩散过程建模77% similarUnverified当前主流的文生视频模型普遍基于扩散模型架构,通过在时间维度上扩展图像生成能力来产生连贯的视频帧序列76% similarUnverifiedAI video generation tools like Jimeng rely on a combination of Diffusion Models and video temporal consistency techniques.76% similarUnverifiedSora、Stable Video Diffusion等前沿视频生成模型均采用DiT或其变体75% similarVerified视频扩散模型采用扩散变换器(DiT)架构,通过在时序注意力层引入3D时空注意力机制同时建模空间与时间维度75% similar
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