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 …

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 …

Recent 3D large reconstruction models typically employ a two-stage process, including first
generate multi-view images by a multi-view diffusion model, and then utilize a feed-forward …

Recently, the text-to-3D task has developed rapidly due to the appearance of the SDS
method. However, the SDS method always generates 3D objects with poor quality due to the …

Leveraging pretrained 2D diffusion models and score distillation sampling (SDS), recent
methods have shown promising results for text-to-3D avatar generation. However …

In recent years, 3D vision has become a crucial field within computer vision, powering a
wide range of applications such as autonomous driving, robotics, augmented reality (AR) …

Abstract Score Distillation Sampling (SDS) by well-trained 2D diffusion models has shown
great promise in text-to-3D generation. However, this paradigm distills view-agnostic 2D …

Text-to-3D synthesis has recently emerged as a new approach to sampling 3D models by
adopting pretrained text-to-image models as guiding visual priors. An intriguing but …

We introduce ShapeWords, an approach for synthesizing images based on 3D shape
guidance and text prompts. ShapeWords incorporates target 3D shape information within …

Existing diffusion-based text-to-3D generation methods primarily focus on producing visually
realistic shapes and appearances, often neglecting the physical constraints necessary for …