This book discusses Peter Maximoff's childhood, sibling Bonding, Star Trek TOS References, and more about Peter and Erik Lehnsherr.
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 paper unravels the potential of sketches for diffusion models, addressing the deceptive promise of direct sketch control in generative AI, and introduces an abstraction-aware framework, using a sketch adapter, adaptive time-step sampling, and discriminative guidance from a pre-trained fine-grained sketch-based image retrieval model, working synergistically to reinforce fine-grained sketch-photo association.
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.
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.
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.
An interactive application called SMKExplore is presented, which allows users to explore a museum’s digital collection of paintings by browsing through objects detected in the images, as a novel form of open-ended exploration.
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.
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.
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.
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.
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.
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.
Findings indicate that group arts are an effective intervention for addressing depression and anxiety among older adults.
A customizable VR application for displaying paintings for their analysis, and their associated questions designed for instructors in art history, and the definition of the paintings’ characteristics and the questionnaires associated with the paintings in the JSON open-standard file format is proposed, facilitating application changes without any prior programming knowledge.
A substantial scoping pilot study that looks at the impact of AI on the scholarly communications of international ECRs and extends this to the arts and humanities and shows ECRs to be thinking, probing and, in some cases, experimenting with AI.
Out-Of-Distribution (OOD) and In-Distribution (ID) detection in CLIP space reveal that AI-generated art is ID to human art with landscapes and geometric abstract figures but OOD with deformed and twisted figures, showcasing unique characteristics.
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 proposed KolamNetV2 comprises EfficientNet and attention layers, ensuring high accuracy with minimal training data and parameters, and evaluated KolamNetV2 to reveal its ability to learn the various types in the authors' challenging Kolam dataset.
Four state-of-the-art VA RecSys engines are investigated, evaluating the relevance of their recommendations for therapeutic purposes compared to expert-curated recommendations, and results suggest all recommendations enhance temporal affective states.
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