We present Shap-E, a conditional generative model for 3D assets. Unlike recent work on 3D
generative models which produce a single output representation, Shap-E directly generates …

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 AI are capable of generating novel images for inspiration, but their
applications for 3D design workflows and how designers can build 3D models using AI …

In this paper, we investigate an open research task of generating controllable 3D textured
shapes from the given textual descriptions. Previous works either require ground truth …

This report surveys advances in deep learning‐based modelling techniques that address
four different 3D indoor scene analysis tasks, as well as synthesis of 3D indoor scenes. We …

Significant progress has recently been made in creative applications of large pre-trained
models for downstream tasks in 3D vision, such as text-to-shape generation. This motivates …

Image and shape editing are ubiquitous among digital artworks. Graphics algorithms
facilitate artists and designers to achieve desired editing intents without going through …

Semantic knowledge of part-part and part-whole relationships in assemblies is useful for a
variety of tasks from searching design repositories to the construction of engineering …

Semantic knowledge of part-part and part-whole relationships in assemblies is useful for a
variety of tasks from searching design repositories to the construction of engineering …

Significant interest and progress have been drawn to the recent advancements in image
creation using deep generative model, but the field of automatic three-dimensional shape …