We tackle the challenge of few-shot time series generation by proposing a unified pretrained model that outperforms state-of-the-art baselines across diverse domains.

Based on the complex dynamics perspective, this paper proposes a bimodal time series generation mechanism to mitigate the current data shortage problem in time series analysis.