Metehan Cekic

Jul 31, 2024 | amazon.science | Lucas Brandão Gonçalves |Prashant Mathur |Chandrashekhar Lavania |Metehan Cekic

Recent advancements in audio-visual generative modeling have been propelled by progress in deep learning and the availability of data-rich benchmarks. However, the growth is not attributed solely to models and benchmarks. Universally accepted evaluation metrics also play an important role in advancing the field.

Jul 29, 2024 | amazon.science | Lucas Brandão Gonçalves |Prashant Mathur |Chandrashekhar Lavania |Metehan Cekic

Recent advancements in audio-visual generative modeling have been propelled by progress in deep learning and the availability of data-rich benchmarks. However, the growth is not attributed solely to models and benchmarks. Universally accepted evaluation metrics also play an important role in advancing the field.

Apr 10, 2024 | arxiv.org | Prashant Mathur |Chandrashekhar Lavania |Marcello Federico |Metehan Cekic