TIE derives a sinc-based interval encoding from temporal integrability and duration invariance principles, raising temporal constraint satisfaction from 77% to 96% on the OmniEvents dataset while preserving visual quality.
Learning interactive real-world simulators
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Matrix-Game 2.0 introduces a scalable data pipeline, action-injection module, and few-step distillation to enable real-time streaming video generation at 25 FPS from game-engine interactions, with open-sourced weights and code.
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TIE: Time Interval Encoding for Video Generation over Events
TIE derives a sinc-based interval encoding from temporal integrability and duration invariance principles, raising temporal constraint satisfaction from 77% to 96% on the OmniEvents dataset while preserving visual quality.
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Matrix-game 2.0: An open-source real-time and streaming interactive world model
Matrix-Game 2.0 introduces a scalable data pipeline, action-injection module, and few-step distillation to enable real-time streaming video generation at 25 FPS from game-engine interactions, with open-sourced weights and code.