サインイン
インサイト - Optimal Transport in Generative Modeling
Optimal-Transport-based Adversarial Networks: Analysis and Improvement
Optimal Transport theory enhances stability and performance 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.
© 2024 by Linnk AI