PhotoAgent: A Robotic Photographer with Spatial and Aesthetic Understanding

• URL: http://arxiv.org/abs/2603.22796v1
• Date: Tue, 24 Mar 2026 04:40:33 GMT
• Title: PhotoAgent: A Robotic Photographer with Spatial and Aesthetic Understanding
• Abstract summary: PhotoAgent translates subjective aesthetic goals into solvable geometric constraints.<n>This initial pose is then iteratively refined through visual reflection within a photorealistic internal world model.<n> Evaluations confirm that PhotoAgent excels in spatial reasoning and superior final image quality.
• Score: 10.434774696873793
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Embodied agents for creative tasks like photography must bridge the semantic gap between high-level language commands and geometric control. We introduce PhotoAgent, an agent that achieves this by integrating Large Multimodal Models (LMMs) reasoning with a novel control paradigm. PhotoAgent first translates subjective aesthetic goals into solvable geometric constraints via LMM-driven, chain-of-thought (CoT) reasoning, allowing an analytical solver to compute a high-quality initial viewpoint. This initial pose is then iteratively refined through visual reflection within a photorealistic internal world model built with 3D Gaussian Splatting (3DGS). This ``mental simulation'' replaces costly and slow physical trial-and-error, enabling rapid convergence to aesthetically superior results. Evaluations confirm that PhotoAgent excels in spatial reasoning and achieves superior final image quality.

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