We present a convolutional neural network based approach for indoor scene synthesis. By
representing 3D scenes with a semantically-enriched image-based representation based on …

We address the task of indoor scene generation by generating a sequence of objects, along
with their locations and orientations conditioned on a room layout. Large-scale indoor scene …

3D indoor scenes are widely used in computer graphics, with applications ranging from
interior design to gaming to virtual and augmented reality. They also contain rich …

Indoor scene synthesis has become a popular topic in recent years. Synthesizing functional
and plausible indoor scenes is an inherently difficult task since it requires considerable …

We present a framework for fast synthesizing indoor scenes, given a room geometry and a
list of objects with learnt priors. Unlike existing data-driven solutions, which often learn priors …

We present a system for generating indoor scenes in response to text prompts. The prompts
are not limited to a fixed vocabulary of scene descriptions, and the objects in generated …

Spatial computing experiences are constrained by the real-world surroundings of the user.
In such experiences, augmenting virtual objects to existing scenes require a contextual …

Recent studies show increasing demands and interests in automatic layout generation,
while there is still much room for improving the plausibility and robustness. In this paper, we …

While recent researches on computational 3D scene synthesis have achieved impressive
results, automatically synthesized scenes do not guarantee satisfaction of end users. On the …

Customized interiors not only reflect personality and offer protection against aesthetic
exhaustion, but they also foster a sense of home. Virtual reality (VR) systems have …