This workshop aims to foster collaboration between researchers in generative AI and computer vision to explore how visual recognition can benefit from recent advances in generative image modeling. The workshop will feature expert discussions on research results and future directions, specifically focusing on topics such as generative models as data source for training computer vision models, benchmarking with generative models, analysis-by-synthesis approaches, self-supervised learning, adversarial robustness, out-of-distribution generalization, and ethical considerations within generative modeling.