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Designing 3D scenes is currently a creative task that requires significantexpertise and effort in using complex 3D design interfaces. This effortfuldesign process starts in stark contrast to the easiness with which people canuse language to describe real and imaginary environments. We present SceneSeer:an interactive text to 3D scene generation system that allows a user to design3D scenes using natural language. A user provides input text from which weextract explicit constraints on the objects that should appear in the scene.Given these explicit constraints, the system then uses a spatial knowledge baselearned from an existing database of 3D scenes and 3D object models to infer anarrangement of the objects forming a natural scene matching the inputdescription. Using textual commands the user can then iteratively refine thecreated scene by adding, removing, replacing, and manipulating objects. Weevaluate the quality of 3D scenes generated by SceneSeer in a perceptualevaluation experiment where we compare against manually designed scenes andsimpler baselines for 3D scene generation. We demonstrate how the generatedscenes can be iteratively refined through simple natural language commands.

SceneSeer: 3D Scene Design with Natural Language