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Achieving an overall score of 84.76, DreamX-World 1.0 sets a new benchmark for interactive video generation, outperforming leading models in both camera control and visual fidelity.
Forget reward engineering: this work shows LLMs can self-evolve and outperform larger models by learning to explore and summarize new environments autonomously.
LLMs can be fine-tuned more efficiently by adapting experts in the frequency domain, leading to better performance with fewer parameters.
