AI RESEARCH
TIE: Time Interval Encoding for Video Generation over Events
arXiv CS.CV
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ArXi:2605.10543v1 Announce Type: new Director-style prompting, robotic action prediction, and interactive video agents demand temporal grounding over concurrent events -- a regime in which 68% of general clips and over 99% of robotics/gameplay clips contain overlapping events, yet existing multi-event generators rest on a single-active-prompt assumption. However, modern video generators, such as Diffusion Transformers (DiT), represent time as discrete points through point-wise positional encodings.