In this work we introduce Wonder3D a novel method for generating high-fidelity textured
meshes from single-view images with remarkable efficiency. Recent methods based on the …

Automatic text-to-3D generation that combines Score Distillation Sampling (SDS) with the
optimization of volume rendering has achieved remarkable progress in synthesizing realistic …

In this paper, we present a novel diffusion model called that generates multiview-consistent
images from a single-view image. Using pretrained large-scale 2D diffusion models, recent …

Recent advances in 3D content creation mostly leverage optimization-based 3D generation
via score distillation sampling (SDS). Though promising results have been exhibited, these …

In recent times the generation of 3D assets from text prompts has shown impressive results.
Both 2D and 3D diffusion models can help generate decent 3D objects based on prompts …

In recent times, the generation of 3D assets from text prompts has shown impressive results.
Both 2D and 3D diffusion models can generate decent 3D objects based on prompts. 3D …

While image diffusion models have made significant progress in text-driven 3D content
creation they often fail to accurately capture the intended meaning of text prompts especially …

Abstract We present Prompt Diffusion, a framework for enabling in-context learning in
diffusion-based generative models. Given a pair of task-specific example images, such as …

It is inherently ambiguous to lift 2D results from pre-trained diffusion models to a 3D world for
text-to-3D generation. 2D diffusion models solely learn view-agnostic priors and thus lack …

Generative AI has made significant progress in recent years, with text-guided content
generation being the most practical as it facilitates interaction between human instructions …