This paper introduces a novel approach to synthesize texture to dress up a 3D object, given
a text prompt. Based on the pre-trained text-to-image (T2I) diffusion model, existing methods …

Recent advancements in 2D diffusion models allow appearance generation on untextured
raw meshes. These methods create RGB textures by distilling a 2D diffusion model, which …

Graphics design is important for various applications, including movie production and game
design. To create a high-quality scene, designers usually need to spend hours in software …

The advent of large language models, which enable flexibility through instruction-driven
approaches, has revolutionized many traditional generative tasks, but large models for 3D …

This paper presents a novel method for exerting fine-grained lighting control during text-
driven diffusion-based image generation. While existing diffusion models already have the …

The recent availability and adaptability of text-to-image models has sparked a new era in
many related domains that benefit from the learned text priors as well as high-quality and …

Synthesizing multi-view 3D from one single image is a significant but challenging task. Zero-
1-to-3 methods have achieved great success by lifting a 2D latent diffusion model to the 3D …

This paper aims to generate materials for 3D meshes from text descriptions. Unlike existing
methods that synthesize texture maps, we propose to generate segment-wise procedural …

We introduce Meta 3D Gen (3DGen), a new state-of-the-art, fast pipeline for text-to-3D asset
generation. 3DGen offers 3D asset creation with high prompt fidelity and high-quality 3D …

The advancement of diffusion models has pushed the boundary of text-to-3D object
generation. While it is straightforward to composite objects into a scene with reasonable …