The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …

Despite advances in text-to-3D generation methods, generation of multi-object
arrangements remains challenging. Current methods exhibit failures in generating …

Intelligent agents need to autonomously navigate and interact within contextual
environments to perform a wide range of daily tasks based on human-level instructions …

We address the challenge of creating 3D assets for household articulated objects from a
single image. Prior work on articulated object creation either requires multi-view multi-state …

Creating large-scale interactive 3D environments is essential for the development of
Robotics and Embodied AI research. However, generating diverse embodied environments …

Designing 3D indoor layouts is a crucial task with significant applications in virtual reality,
interior design, and automated space planning. Existing methods for 3D layout design either …

We introduce GRS (Generating Robotic Simulation tasks), a novel system to address the
challenge of real-to-sim in robotics, computer vision, and AR/VR. GRS enables the creation …

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

Scalable Vector Graphics (SVG) has become the de facto standard for vector graphics in
digital design, offering resolution independence and precise control over individual …

Procedural representations are desirable, versatile, and popular shape encodings.
Authoring them, either manually or using data-driven procedures, remains challenging, as a …