In-context generation is a key component of large language models'(LLMs) open-task
generalization capability. By leveraging a few examples as context, LLMs can perform both …

3D part segmentation is a crucial and challenging task in 3D perception, playing a vital role
in applications such as robotics, 3D generation, and 3D editing. Recent methods harness …

We present StdGEN, an innovative pipeline for generating semantically decomposed high-
quality 3D characters from single images, enabling broad applications in virtual reality …

We propose a training-free approach to 3D editing that enables the editing of a single shape
within a few minutes. The edited 3D mesh aligns well with the prompts, and remains …

Recent years have witnessed remarkable progress in multi-view diffusion models for 3D
content creation. However, there remains a significant gap in image quality and prompt …