most citedCENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios

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cs.CV2025

MaskFlow: Discrete Flows For Flexible and Efficient Long Video Generation

Michael Fuest, Vincent Tao Hu, Björn Ommer

Generating long, high-quality videos remains a challenge due to the complex interplay of spatial and temporal dynamics and hardware limitations. In this work, we introduce MaskFlow…

cs.CV2024

Diffusion Models and Representation Learning: A Survey

Michael Fuest, Pingchuan Ma, Ming Gui +3

Diffusion Models are popular generative modeling methods in various vision tasks, attracting significant attention. They can be considered a unique instance of self-supervised lear…