This paper unravels the potential of sketches for diffusion models addressing the deceptive
promise of direct sketch control in generative AI. We importantly democratise the process …

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 …

Recently, encoders like ViT (vision transformer) and ResNet have been trained on vast
datasets and utilized as perceptual metrics for comparing sketches and images, as well as …

In the rapidly evolving field of manufacturing industry, product designers need to be able to
quickly and accurately retrieve and reference existing Computer-Aided Design (CAD) …

In spatial design, Artificial Intelligence (AI) tools often generate the entire spatial design
outcome in a single automated step, rather than engaging users in a deepening and …

We conduct a detailed study of the ability of pretrained on pretext tasks ViT and ResNet
feature layers to quantify the similarity between pairs of 2D sketch views of individual 3D …

Sketching is an effective communication tool naturally equipped in humans capable of
expressing complex thoughts and concepts using relatively simpler objects. Sketches being …

More generation results of the proposed method are shown in Fig. S2. Please note that the
scales of sketches and 3D shapes differ in these visual results due to the fact that we use …