We introduce SceneDiffuser, a conditional generative model for 3D scene understanding.
SceneDiffuser provides a unified model for solving scene-conditioned generation …

You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

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 …

3D scene synthesis facilitates and benefits many real-world applications. Most scene
generators focus on making indoor scenes plausible via learning from training data and …

Three-dimensional (3D) shape generation techniques leveraging deep learning have
garnered significant interest from both computer vision and architectural design …

Holistic 3D scene understanding entails estimation of both layout configuration and object
geometry in a 3D environment. Recent works have shown advances in 3D scene estimation …

Immersive authoring provides an intuitive medium for users to create 3D scenes via direct
manipulation in Virtual Reality (VR). Recent advances in generative AI have enabled the …

Deep generative models have been used in recent years to learn coherent latent
representations in order to synthesize high-quality images. In this work, we propose a neural …

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 …

In light of today's experience economy and the forthcoming era of smart-technology and the
metaverse, the aesthetic education needs to be revolutionized. In particular, integrating …