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Controllable Video Generation
MultiShotMaster: A Controllable Multi-Shot Video Generation Framework
Published:12/3/2025
Multishot Video Generation FrameworkControllable Video GenerationApplication of RoPE Techniques in Video GenerationEnhanced Multi-Shot Narrative CapabilityAutomated Data Annotation Pipeline
The MultiShotMaster framework addresses current limitations in multishot narrative video generation by integrating two novel RoPE variants, enabling flexible shot arrangement and coherent storytelling, while an automated data annotation pipeline enhances controllability and outp
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MAGI-1: Autoregressive Video Generation at Scale
Published:5/19/2025
Autoregressive Video Generation ModelImage-to-Video GenerationEfficient Temporal Consistency ModelingControllable Video GenerationLong-Context Video Generation
MAGI1 is a largescale autoregressive video generation system that ensures causal temporal modeling and supports streaming. The model, with 24 billion parameters, achieves stateoftheart performance in imagetovideo tasks while maintaining memoryefficient inference.
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