Recent interest in design through the artificial intelligence (AI) lens is rapidly increasing.
Designers, as a special user group interacting with AI, have received more attention in the …

Terrains are a crucial component of three‐dimensional scenes and are present in many
Computer Graphics applications. Terrain modeling methods focus on capturing landforms in …

Guided image synthesis enables everyday users to create and edit photo-realistic images
with minimum effort. The key challenge is balancing faithfulness to the user input (eg, hand …

High-quality, diverse, and photorealistic images can now be generated by unconditional
GANs (eg, StyleGAN). However, limited options exist to control the generation process using …

Deep generative models have become increasingly effective at producing realistic images
from randomly sampled seeds, but using such models for controllable manipulation of …

This paper presents a novel generative model to synthesize fluid simulations from a set of
reduced parameters. A convolutional neural network is trained on a collection of discrete …

We present Large Language Model for Mixed Reality (LLMR), a framework for the real-time
creation and modification of interactive Mixed Reality experiences using LLMs. LLMR …

Spatial interpolation is a traditional geostatistical operation that aims at predicting the
attribute values of unobserved locations given a sample of data defined on point supports …

The future of work and workplace is very much in flux. A vast amount has been written about
artificial intelligence (AI) and its impact on work, with much of it focused on automation and …

Existing generative models for 3D shapes are typically trained on a large 3D dataset, often
of a specific object category. In this paper, we investigate the deep generative model that …