AI RESEARCH

PhotoFlow: Agentic 3D Virtual Photography Missions

arXiv CS.AI

ArXi:2605.23771v1 Announce Type: cross Virtual photography asks an agent to enter a prepared 3D scene with no preselected camera pose or reference image, infer a suitable shot from scene information and a language intent, choose executable camera parameters, and render the final photograph. Recent progress in vision-language models makes this kind of spatial agent increasingly plausible, but the task stresses two capabilities that remain hard to evaluate together: complex 3D spatial understanding and abstract aesthetic judgment. We.