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Making Time Editable in Video Diffusion Transformers

Konstantin Kuklev, Viacheslav Vasilev, Alexander Kunitsyn, Andrei Ivaniuta, Denis Dimitrov

cs.CV cs.AI cs.MM

Abstract

Modern Diffusion Transformers for video generation provide limited control over the progression of time and the editing of temporal dynamics. We propose a temporal-control methodology that extends a pretrained DiT with explicit time editing, allowing control over motion speed and temporal structure without redesigning the backbone. Its core implementation augments the pretrained model with a lightweight temporal module, preserving the original generative prior while expanding its controllable dynamic range.

Topics

Classified with taxonomy v2 on Sat, 5 Sept 2026.

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