AI RESEARCH
TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Video Generation
arXiv CS.AI
•
ArXi:2605.31590v1 Announce Type: cross Text-to-video (T2V) generation faces challenging questions when generating videos with long horizons containing multiple events. Inspired by the intrinsics of the diffusion process, we probe video diffusion transformers (DiTs) and uncover intrinsic turning points in the DiT denoising trajectory where conditioning text affects generation from global layout to fine-grained details. Building on this finding, we present TunerDiT, a simple yet effective progressive steering method that requires no additional.