In this work, we present a novel framework built to simplify 3D asset generation for amateur
users. To enable interactive generation, our method supports a variety of input modalities …

We present XCube a novel generative model for high-resolution sparse 3D voxel grids with
arbitrary attributes. Our model can generate millions of voxels with a finest effective …

Abstract We present Text2Tex, a novel method for generating high-quality textures for 3D
meshes from the given text prompts. Our method incorporates inpainting into a pre-trained …

Existing dynamic scene generation methods mostly rely on distilling knowledge from pre-
trained 3D generative models, which are typically fine-tuned on synthetic object datasets. As …

Abstract 3D city generation is a desirable yet challenging task since humans are more
sensitive to structural distortions in urban environments. Additionally generating 3D cities is …

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 …

In this work, we present SceneDreamer, an unconditional generative model for unbounded
3D scenes, which synthesizes large-scale 3D landscapes from random noise. Our …

Large garages are ubiquitous yet intricate scenes that present unique challenges due to
their monotonous colors, repetitive patterns, reflective surfaces, and transparent vehicle …

Despite increasingly realistic image quality, recent 3D image generative models often
operate on 3D volumes of fixed extent with limited camera motions. We investigate the task …

The advancements in automatic text-to-3D generation have been remarkable. Most existing
methods use pre-trained text-to-image diffusion models to optimize 3D representations like …