A technical report details the development of Kling, a multimodal understanding stack designed to enhance controllable video generation. The report outlines Kling's approach to linking caption density, perceptual text encoding, reward modeling, and evaluation protocols. It argues that generation quality is a projection of multimodal understanding across the entire data-conditioning-alignment-evaluation chain, with Kling-MLLM serving as a unified foundation model for various inputs. AI
IMPACT Provides insights into improving controllable video generation through multimodal understanding and a robust data-conditioning-alignment-evaluation pipeline.
RANK_REASON Technical report detailing a system for video generation. [lever_c_demoted from research: ic=1 ai=1.0]
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