<ul><li>Diffusion-based image synthesis using ControlNet attracted attention recently.</li><li>Vanilla ControlNet requires extensive training of around 5000 steps for a single task.</li><li>A novel Meta ControlNet method is introduced which significantly reduces learning steps to 1000 and achieves zero-shot adaptability in edge-based tasks.</li><li>Meta ControlNet achieves control in only 100 finetuning steps in complex non-edge tasks, outperforming existing methods.</li></ul>

Meta ControlNet: Enhancing Task Adaptation via Meta Learning

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