Abstract Vision-language navigation (VLN), which entails an agent to navigate 3D
environments following human instructions, has shown great advances. However, current …

We present Frankenstein, a diffusion-based framework that can generate semantic-
compositional 3D scenes in a single pass. Unlike existing methods that output a single …

We introduce GEM3D 1–a new deep, topology-aware generative model of 3D shapes. The
key ingredient of our method is a neural skeleton-based representation encoding …

Comprehending natural language instructions is a charming property for 3D indoor scene
synthesis systems. Existing methods directly model object joint distributions and express …

Synthesizing realistic 3D indoor scenes is a challenging task that traditionally relies on
manual arrangement and annotation by expert designers. Recent advances in …

Abstract We introduce Infinigen Indoors a Blender-based procedural generator of
photorealistic indoor scenes. It builds upon the existing Infinigen system which focuses on …

The household rearrangement task involves spotting misplaced objects in a scene and
accommodate them with proper places. It depends both on common-sense knowledge on …

We present SceneFactor, a diffusion-based approach for large-scale 3D scene generation
that enables controllable generation and effortless editing. SceneFactor enables text-guided …

Comprehending natural language instructions is a charming property for both 2D and 3D
layout synthesis systems. Existing methods implicitly model object joint distributions and …

We propose a novel crowd data-driven optimization approach for artwork placement in
virtual exhibitions. With the emerging concept of Metaverse, a multitude of users can engage …