The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel
view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) …

Generating high-quality 3D assets from a given image is highly desirable in various
applications such as AR/VR. Recent advances in single-image 3D generation explore feed …

Recent techniques for text-to-4D generation synthesize dynamic 3D scenes using
supervision from pre-trained text-to-video models. However, existing representations, such …

3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of
Computer Graphics, offering explicit scene representation and novel view synthesis without …

The increasing demand for virtual reality applications has highlighted the significance of
crafting immersive 3D assets. We present a text-to-3D 360\(^{\circ}\) scene generation …

Text-to-3D scene generation holds immense potential for the gaming, film, and architecture
sectors. Despite significant progress, existing methods struggle with maintaining high …

3D Gaussian splatting (3D GS) has recently emerged as a transformative technique in the
explicit radiance field and computer graphics landscape. This innovative approach …

By leveraging the text-to-image diffusion prior, score distillation can synthesize 3D contents
without paired text-3D training data. Instead of spending hours of online optimization per text …

The blooming of virtual reality and augmented reality (VR/AR) technologies has driven an
increasing demand for the creation of high-quality, immersive, and dynamic environments …

We present GALA3D, generative 3D GAussians with LAyout-guided control, for effective
compositional text-to-3D generation. We first utilize large language models (LLMs) to …