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Balanced conic rectified flow

arXiv — cs.CV•Thursday, October 30, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
A new study introduces balanced conic rectified flow, a generative model that enhances the efficiency of learning transport mappings between distributions. Unlike traditional diffusion-based models that require complex numerical integration, this innovative approach utilizes an iterative process called reflow to create smoother and more direct paths in ordinary differential equations. This advancement is significant as it promises to improve the quality of generated images while reducing computational costs, making it a valuable contribution to the field of generative modeling.
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