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Image Generators are Generalist Vision Learners - Deep Dive

https://arxiv.org/abs/2604.20329v1 What does it actually mean for a generative visual model to "understand" what it sees? That's the question driving this episode, and it turns out to be harder to answer than it sounds. We start with "Image Generators are Generalist Vision Learners," which introduces VisionBanana, a model built by instruction-tuning NanoBanana Pro on a mix of its original data and a small amount of task-specific vision data. The trick is reframing perception itself as image generation, treating outputs like segmentation masks and depth maps as RGB images. The result is a…

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