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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…