Although the recent rapid evolution of 3D generative neural networks greatly improves 3D
shape generation, it is still not convenient for ordinary users to create 3D shapes and control …

Text-to-image diffusion models are gradually introduced into computer graphics, recently
enabling the development of Text-to-3D pipelines in an open domain. However, for …

Intelligent Mesh Generation (IMG) represents a novel and promising field of research,
utilizing machine learning techniques to generate meshes. Despite its relative infancy, IMG …

Conceptual design is the foundational stage of a design process that translates ill-defined
design problems into low-fidelity design concepts and prototypes through design search …

In this paper we democratise 3D content creation enabling precise generation of 3D shapes
from abstract sketches while overcoming limitations tied to drawing skills. We introduce a …

Existing text-based 3D generation methods generate attractive results but lack detailed
geometry control. Sketches, known for their conciseness and expressiveness, have …

Product designers extensively use sketching to reason and communicate about 3D shapes,
as documented in popular design sketching textbooks [Eissen and Steur 2008, 2011; Pipes …

We present a sketch-based CAD modeling system, where users create objects incrementally
by sketching the desired shape edits, which our system automatically translates to CAD …

Abstract 3D shape modeling is labor-intensive, time-consuming, and requires years of
expertise. To facilitate 3D shape modeling, we propose a 3D shape generation network that …

We present a new framework for sketch-based modeling and animation of 3D organic
shapes that can work entirely in an intuitive 2D domain, enabling a playful, casual …