4 papers
Data-free Multistep Diffusion Distillation
Ngoc Duy Tran, Kien Do, Duc Thanh Nguyen +1
One-step diffusion distillation achieves strong performance on small datasets but remains insufficient for high-resolution or complex text-to-image settings. Extending to multistep…
In-Context Inpainting for Time Series Forecasting
Thang Nguyen, Dung Nguyen, Romero Morais +1
We propose ICI-Time, a novel framework that reframes time series forecasting as a visual inpainting task, leveraging the generalisation power of large vision models (LVMs). Unlike…
FrameDiT: Diffusion Transformer with Matrix Attention for Efficient Video Generation
Minh Khoa Le, Kien Do, Duc Thanh Nguyen +1
High-fidelity video generation remains challenging for diffusion models due to the difficulty of modeling complex spatio-temporal dynamics efficiently. Recent video diffusion metho…
Learning Structural Causal Models from Ordering: Identifiable Flow Models
Minh Khoa Le, Kien Do, Truyen Tran
In this study, we address causal inference when only observational data and a valid causal ordering from the causal graph are available. We introduce a set of flow models that can…