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insight - Optimal Transport in Generative Modeling
Unveiling the Advantages of Optimal-Transport-based Adversarial Networks
The author integrates various OT-based GANs, emphasizing the importance of strictly convex functions and the cost function in enhancing training stability and preventing mode collapse. Additionally, a novel method is proposed to address the τ-sensitivity of UOTM while improving performance.
Optimal-Transport-based Adversarial Networks: Analysis and Improvement
Optimal Transport theory enhances stability and performance in generative modeling.
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