📸latest in our cambrian series: cambrian-p, p for pose.
i think pose is probably the minimal sufficient 3d signal (and it’s easy to get!) that we need for robust video multimodal models -- jointly modeling frames and pose turns image sequences into a globally grounded structure.
Camera pose matters for video understanding!
Today's MLLMs excel at recognizing activities, but still struggle with the underlying space and ego/object dynamics in video. We trace this gap to a missing piece: camera pose.
Introducing Cambrian-P: a multimodal LLM natively grounded in camera pose. (1/n)