3D Shape Editing

3D shape editing research focuses on developing efficient and intuitive methods for manipulating three-dimensional models. Current approaches leverage various techniques, including diffusion models that iteratively deform shapes, neural networks optimizing coupled representations of shape features and latent codes, and frameworks that guide edits using 2D images or natural language descriptions. These advancements enable more precise and semantically aware shape manipulation, impacting fields like computer graphics, virtual reality, and digital art by providing powerful tools for creating and modifying 3D models.