Shobhit Verma | Searcharxiv

arXiv2024

Game Design Inspired by Quantum Physics: A Case Study on The Quantum Photo Booth

In this paper, we explain the conceptual development of the STAGE Lab Quantum Casino (a.k.a. the STAGE Lab Quantum Arcade), one of the Lab's most recent artistic endeavors about quantum physics. This work consists of a series of card and digital games and an interactive experience, exposing the public to quantum physics and minimizing learning barriers. Furthermore, we will also present a case study of the interactive experience, in the form of The Quantum Photo Booth. The STAGE Lab Quantum Casino provides an entertaining and approachable experience for people of all ages to become familiar with quantum physics. By using core concepts of quantum physics as tools and strategies to overcome challenges that arise in gameplay, players gain an intuitive understanding of these concepts. These games provide players with a first-hand experience of the following quantum physics concepts: measurement, superposition, encryption, decoherence, and entanglement. Instead of teaching the concepts through a traditional classroom pedagogy, these games aim to invoke curiosity, spark moments of playfulness, and catalyze play-centric learning modalities. This paper provides a general overview of the development of the STAGE Lab Quantum Casino, focusing on The Quantum Photo Booth experience and how science is integrated into the very nature of the game development process in addition to its outcome.

physics.pop-ph↗

arXiv2019

The Replica Dataset: A Digital Replica of Indoor Spaces

We introduce Replica, a dataset of 18 highly photo-realistic 3D indoor scene reconstructions at room and building scale. Each scene consists of a dense mesh, high-resolution high-dynamic-range (HDR) textures, per-primitive semantic class and instance information, and planar mirror and glass reflectors. The goal of Replica is to enable machine learning (ML) research that relies on visually, geometrically, and semantically realistic generative models of the world - for instance, egocentric computer vision, semantic segmentation in 2D and 3D, geometric inference, and the development of embodied agents (virtual robots) performing navigation, instruction following, and question answering. Due to the high level of realism of the renderings from Replica, there is hope that ML systems trained on Replica may transfer directly to real world image and video data. Together with the data, we are releasing a minimal C++ SDK as a starting point for working with the Replica dataset. In addition, Replica is `Habitat-compatible', i.e. can be natively used with AI Habitat for training and testing embodied agents.

cs.CV↗