Scene Synthesis via Uncertainty-Driven Attribute Synchronization
Scene Synthesis via Uncertainty-Driven Attribute Synchronization
Developing deep neural networks to generate 3D scenes is a fundamental problem in neural synthesis with immediate applications in architectural CAD, computer graphics, as well as in generating virtual robot training environments. This task is challenging because 3D scenes exhibit diverse patterns, ranging from continuous ones, such as object sizes …