The grid-centric perception is a crucial field for mobile robot perception and navigation.
Nonetheless, the grid-centric perception is less prevalent than object-centric perception as …

In the realm of digital creativity, our potential to craft intricate 3D worlds from imagination is
often hampered by the limitations of existing digital tools, which demand extensive expertise …

This paper presents a novel method for building scalable 3D generative models utilizing pre-
trained video diffusion models. The primary obstacle in develo** foundation 3D …

3D Content Generation is at the heart of many computer graphics applications, including
video gaming, film-making, virtual and augmented reality, etc. This paper proposes a novel …

This paper introduces a novel hierarchical autoencoder that maps 3D models into a highly
compressed latent space. The hierarchical autoencoder is specifically designed to tackle the …

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