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LoomVideo achieves state-of-the-art video generation and editing efficiency with a compact architecture that accelerates inference speed by over 5 times compared to larger models.
Stop wasting compute on redundant retrieval calls: DynFrame learns the optimal frame sampling density *within* each temporal window, slashing context length and boosting performance on complex video understanding tasks.
Skip the costly human annotations: PromptEcho distills reward signals directly from frozen VLMs to boost text-to-image RL, achieving state-of-the-art results without any reward model training.
