Thinking with Camera 2.0: A Powerful Multimodal Model for Camera-Centric Understanding and Generation
In the rapidly evolving field of multimodal AI, bridging gaps between vision, language and geometry is one of the frontier challenges. Traditional vision-language models excel at describing what is in an image “a cat on a sofa” “a red car on the road” but struggle to reason about how the image was captured: the camera’s … Read more