8 citations · 10 across the 6 of their papers we have counts for
4 papers · 1 filter
Retrieval-Augmented Diffusion Models for Time Series Forecasting
Jingwei Liu, Ling Yang, Hongyan Li +1
While time series diffusion models have received considerable focus from many recent works, the performance of existing models remains highly unstable. Factors limiting time series…
Structure-Guided Adversarial Training of Diffusion Models
Ling Yang, Haotian Qian, Zhilong Zhang +2
Diffusion models have demonstrated exceptional efficacy in various generative applications. While existing models focus on minimizing a weighted sum of denoising score matching los…
Contextualized Diffusion Models for Text-Guided Image and Video Generation
Ling Yang, Zhilong Zhang, Zhaochen Yu +4
Conditional diffusion models have exhibited superior performance in high-fidelity text-guided visual generation and editing. Nevertheless, prevailing text-guided visual diffusion m…
Improving Diffusion-Based Image Synthesis with Context Prediction
Ling Yang, Jingwei Liu, Shenda Hong +5
Diffusion models are a new class of generative models, and have dramatically promoted image generation with unprecedented quality and diversity. Existing diffusion models mainly tr…