Thirty Years of Applications.

IEEE Computer Graphics and Applications began publishing "Applications" as a regular department under its present editor 30 years ago in November 1994, with the goal of featuring interesting examples of using computer graphics to solve real-world problems. The Applications department has appeared in every issue since, making the present article the 181st such article to appear. To mark this occasion, the Applications department takes a look back by revisiting the most cited articles that have appeared since the department's inception.

AlterVerse: A Framework for Interactive Virtual Altering of Physical Objects in Extended Reality Environments.

This article presents AlterVerse, a framework that provides users with novel experiences through visual illusions of interactively altering physical objects in extended reality environments. In the AlterVerse framework, physical objects are seamlessly virtualized by aligning their 3-D virtual replicas with them. It enables users to manipulate (move or rotate) and reshape (deform the shapes or transform the styles of) the physical objects virtually.

Enhancing Archaeological Research Through Immersive Virtual Reality.

Virtual reality (VR) is increasingly employed in archaeology to showcase reconstructions of ancient sites to the general public, yet its utilization for professional purposes by archaeologists remains less common. To address this gap, we introduce a VR application specifically designed to streamline the storage and access of critical data for archaeological studies. This application provides experts with an immersive visualization of excavation sites and related information during the postexcavation analysis phase.

To Authenticity, and Beyond! Building Safe and Fair Generative AI Upon the Three Pillars of Provenance.

Provenance facts, such as who made an image and how, can provide valuable context for users to make trust decisions about visual content. Against a backdrop of inexorable progress in generative AI for computer graphics, over two billion people will vote in public elections this year. Emerging standards and provenance enhancing tools promise to play an important role in fighting fake news and the spread of misinformation.

A Workflow to Visually Assess Interobserver Variability in Medical Image Segmentation.

We introduce a workflow for the visual assessment of interobserver variability in medical image segmentation. Image segmentation is a crucial step in the diagnosis, prognosis, and treatment of many diseases. Despite the advancements in autosegmentation, clinical practice widely relies on manual delineations performed by radiologists.