A vigilant approach is recommended towards the use of AI-generated imagery in medical education at present, underscoring the imperative for thorough validation and the importance of collaboration across disciplines.
This book discusses Peter Maximoff's childhood, sibling Bonding, Star Trek TOS References, and more about Peter and Erik Lehnsherr.
This work introduces a framework to evaluate cultural competence of T2I models along two crucial dimensions: cultural awareness and cultural diversity, and presents a scalable approach using a combination of structured knowledge bases and large language models to build a large dataset of cultural artifacts to enable this evaluation.
This work introduces a new bipedal robot, designed with a focus on character-driven mechanical features, and presents a reinforcement learning-based control architecture to robustly execute artistic motions conditioned on command signals.
It is found that participation in shared artistic experience was associated with lower levels of depression and anxiety, and group arts are an effective intervention for addressing depression and anxiety among older adults.
An investigation into the integration of LLMs within MR environments, focusing on the context of virtual art exhibitions, and evaluates the user experience and perceived trustworthiness of this approach in enhancing the exploration of virtual art exhibitions.
A comprehensive review of generative AI’s evolution, significance, and applications, including the foundational architectures such as generative adversarial networks, variational autoencoders, autoregressive models, flow‐based models, and diffusion models, are provided.
The study concluded that AR technology significantly improved student performance, flow state, and reduced cognitive load, highlighting its potential to enhance visual arts education.
An in-depth examination of the intersection of sustainable technologies, pedagogical theories, and assessment methods within visual art education indicates that the use of technology in art education is still in its nascent stages, yet it holds significant potential for sustainable development.
This review aims to investigate the opportunities that soundscape design and advanced sonic interactions in virtual and augmented environments can bring to cultural heritage sites and museums in terms of presence, emotional content, and cultural dissemination.
The findings suggest that GANs with spectrograms and RNNs with MIDI data are particularly effective for generating multi-track music, while autoregressive models like MusicGen and transformer models demonstrate superior performance in capturing long-term dependencies in music generation.
Results highlighted the effectiveness of the GAI-powered ABL learning system in enhancing students’ historical knowledge and motivation and reducing cognitive load.
It is found that AI “hallucination” in computational visual storytelling is the opposite of groundedness: literary expression that is ungrounded in the visual or textual inputs, and can be a source of either creativity or harm entangled with bias and illusion.
A novel ontology named the Reactive Digital Twin Ontology is described, in which sensors, activators, and the decision processes are also semantically described, turning the previous synchronic approach to cultural heritage documentation into a diachronic one.
The benefits of this transition, the research findings obtained in the last years within the framework of the ARTISTIC project, and the actions to move from the authors' research to industrial products are discussed.
The research aims to compare the first results obtained through the NeRF and Gaussian Splatting methodology which constitute the current state of the art of this type of processing, and to describe the video acquisition of a noble chapel of the Cemetery of Santa Maria dei Rotoli in Palermo to promote knowledge of ‘fragile’ artefacts.
An evaluation of the usability of SARD and its creativity support shows that while node-based visualization of the narrative may help writers build a mental model, it exerts unnecessary mental overhead to the writer and becomes a source of distraction as the story becomes more elaborated.
The revised RG-MBI checklist has a total of 12-items that pertain to eight different components of MBI interventions including name, theory/scientific rationale, content, interventionist, individual/group, setting, delivery schedule, and treatment fidelity and is recommended to accelerate and improve the scientific rigor of MBI research.
The results of this study concluded that there are various aesthetic values in the use of Arabic calligraphy that can be used to create contemporary furniture designs using artificial intelligence techniques to preserve its sustainability.
The Emotion questionnaire validates the impact of virtual museum tours on emotional states, including positive, negative, and boredom, compared to traditional methods, and suggests that VR can revolutionize heritage experiences by deepening visitor understanding.
By providing a robust tool for the automatic identification and classification of heritage images, MonuNet promises to enrich online repositories with detailed visual documentation, thereby enhancing accessibility to Kolkata's cultural heritage for researchers, tourists, and urban planners alike.
The effectiveness of XR for audience engagement and the added value that such technologies offer to the user experience as well as possible improvements are investigated.
The findings suggest that NeRFs perform well in scenarios with homogeneous textures, variable lighting conditions, reflective surfaces, and fine details, however, they exhibit higher noise and lower texture quality compared to other consolidated image-based techniques as photogrammetry, especially in case of small-scale artifacts.
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