Title: Image Generators are Generalist Vision Learners

Source: http://arxiv.org/abs/2604.20329v1

Summary:

This paper demonstrates that image generation pretraining serves as a unified foundation for both visual creation and zero-shot understanding, rivaling domain-specific specialists across diverse 2D and 3D tasks. It proposes a paradigm shift where generative models act as generalist vision learners, establishing image generation as a universal interface for computer vision similar to text in LLMs.