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pro vyhledávání: '"Velich, Roy"'
Recent advances in image editing, driven by image diffusion models, have shown remarkable progress. However, significant challenges remain, as these models often struggle to follow complex edit instructions accurately and frequently compromise fideli
Externí odkaz:
http://arxiv.org/abs/2411.16819
Autor:
Velich, Roy, Kimmel, Ron
We propose a learning paradigm for the numerical approximation of differential invariants of planar curves. Deep neural-networks' (DNNs) universal approximation properties are utilized to estimate geometric measures. The proposed framework is shown t
Externí odkaz:
http://arxiv.org/abs/2303.03458
Autor:
Velich, Roy, Kimmel, Ron
We propose a learning paradigm for numerical approximation of differential invariants of planar curves. Deep neural-networks' (DNNs) universal approximation properties are utilized to estimate geometric measures. The proposed framework is shown to be
Externí odkaz:
http://arxiv.org/abs/2202.05922