Generating realistic 3D worlds occupied by moving humans has many applications in
games, architecture, and synthetic data creation. But generating such scenes is expensive …

We present a novel method for populating 3D indoor scenes with virtual humans that can
navigate in the environment and interact with objects in a realistic manner. Existing …

Synthesizing 3D human motion plays an important role in many graphics applications as
well as understanding human activity. While many efforts have been made on generating …

Synthesizing interaction-involved human motions has been challenging due to the high
complexity of 3D environments and the diversity of possible human behaviors within. We …

Automatically generating high-quality real world 3D scenes is of enormous interest for
applications such as virtual reality and robotics simulation. Towards this goal, we introduce …

We present a fully automatic system that takes a 3D scene and generates plausible 3D
human bodies that are posed naturally in that 3D scene. Given a 3D scene without people …

We present simultaneous generation and mapping (SGAM), a novel 3D scene generation
algorithm. Our goal is to produce a realistic, globally consistent 3D world on a large scale …

We introduce GAUDI, a generative model capable of capturing the distribution of complex
and realistic 3D scenes that can be rendered immersively from a moving camera. We tackle …

In this work, we introduce CC3D, a conditional generative model that synthesizes complex
3D scenes conditioned on 2D semantic scene layouts, trained using single-view images …

Abstract State-of-the-art 3D-aware generative models rely on coordinate-based MLPs to
parameterize 3D radiance fields. While demonstrating impressive results, querying an MLP …