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Flowception

Flowception is an open research code release for generating and editing video with learned-order frame insertion and continuous-flow denoising. It bridges bidirectional sequence modeling with autoregressive generation, letting researchers experiment with flexible frame ordering instead of only left-to-right prediction. The project is useful for AI video researchers, computer vision teams, and technical creators who want to study next-generation generation pipelines from a CVPR 2026 implementation. Its main difference is the sequence-order approach: Flowception treats video construction as a dynamic insertion process, which can support more controllable temporal reasoning than standard frame-by-frame generation workflows.

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