Search Results (138)

The assessment of art learning outcomes has long relied on teachers’ subjective judgment, facing challenges such as inconsistent evaluation criteria and difficulty in multi-dimensional quantitative analysis. To address these issues, this study proposes a framework for the automatic assessment of art learning outcomes based on symmetry analysis of multi-dimensional aesthetic features. The model quantifies the symmetry between student works and instructional exemplars across three aesthetic dimensions: color distribution features (HSV color space histograms and dominant color composition), compositional features (visual center distribution and structural symmetry), and art movement style features (multi-layer Gram matrices from VGG-19 with PCA dimensionality reduction). Using publicly available artwork datasets, this study constructed Temporal Evolution Pairs (early and late works by the same artist) and Stylistic Inheritance Pairs (works by different artists within the same movement) to validate the model’s effectiveness. The experimental results demonstrate that the proposed multi-dimensional feature fusion strategy achieves 87.6% accuracy in artist style evolution trajectory recognition and 82.3% accuracy in art movement style inheritance quantification, significantly outperforming baseline methods including SSIM (52.3%), VGG-fc features (68.9%), and single style loss (76.4%). Two in-depth case studies further validate the model’s quantitative capability: in analyzing Picasso’s stylistic evolution, the Mastery Index and the Creativity Divergence Index successfully captured the stylistic continuity of adjacent periods (Blue Period to Rose Period: the Mastery Index = 73.6) and the breakthrough innovation of cross-period transformations (Rose Period to Cubism: the Creativity Divergence Index = 82.7). t-SNE visualization of the feature space further revealed that deep style features can clearly distinguish different art movements and individual artists, with spatial distances between artists closely corresponding to stylistic affinities. This research provides new perspectives and tools for a computational framework with the potential for art education assessment practice. It is important to emphasize that the reported performance demonstrates the model’s ability to quantify stylistic relationships between artworks but does not yet demonstrate its validity for assessing student learning outcomes in real classroom settings. As noted, the current validation is based on art-historical consensus, and direct application to educational contexts will require further validation with actual student works and expert evaluation, which we plan to address in future work. Full article

Chinese Haipai New Year paintings are an important part of the country’s intangible cultural heritage, and their digital preservation holds great significance. This paper proposes PSE-Net (Pyramid Scale Expansion Network), a deep learning-based segmentation method specifically designed to handle the complex textures and intricate compositions of these artworks. By constructing a dedicated large-scale dataset, we trained PSE-Net to achieve high-precision segmentation by incorporating attention mechanisms and multi-scale feature fusion to better capture detailed features. Experimental results demonstrate that the proposed method outperforms existing approaches (such as ResNet) in terms of segmentation performance, yielding superior results in edge preservation. This work establishes the first automated tool for the pixel-level analysis of Haipai New Year paintings, thereby facilitating museum digitization, art history research, and education. Furthermore, it offers new insights for the image processing and digital preservation of other traditional artworks. Full article

This review provides a comprehensive overview of the most adopted 3D surveying techniques in Cultural Heritage, offering practical guidance for the selection of appropriate methods when three-dimensional documentation of artworks is required. The analysis focuses on the most effective technologies for the 3D documentation of sites and objects of artistic value, with selection criteria primarily centred on non-invasiveness, given the uniqueness and cultural significance of the case studies, and the instrument flexibility, a crucial requirement for non-transportable items. A broad spectrum of 3D techniques is currently available for the multiscale diagnostic investigation of artworks, providing information at both macroscopic and microscopic levels. This review reports on the state of the art of such systems and evaluates the main characteristics of each technology in relation to its applicability in the heritage field. Particular attention is given to highlighting advantages and limitations, and to assessing performance in terms of resolution, gauge volume/area, acquisition time, and cost. In addition, the review discusses exemplary cases in which 3D methods are integrated with other analytical techniques to enable a more comprehensive understanding of the object under investigation. Finally, recent studies are examined to identify the most suitable approaches and the specific requirements for the digitization of real-world heritage assets. Full article

Surrealism persistently resisted its own historicization, defining itself not as a literary or artistic movement but as an activity of the mind aimed at total liberation. This essay re-examines surrealism’s internal contradictions: its rejection of literature alongside its dependence on literary institutions; its commitment to psychic freedom alongside political orthodoxy; and its hostility to authorship alongside the production of canonical works. Drawing on manifestos, journals, performance practices, and postwar critical reception, the essay situates surrealism at the fault line between modernism, Dada, and later poststructuralist theory. It argues that surrealism’s most enduring legacy lies less in its aesthetic products than in its reconfiguration of cultural authority among artist, artwork, and reader, a redistribution that continues to shape contemporary literary, media, and performance studies. Full article

The 17th-century stucco altar dedicated to St. Michael the Archangel is an interesting, but very damaged, artwork located in the complex of St. Angel in the little town of Barbarano Romano in Central Italy. During the recent and quite necessary restoration carried out by University of Tuscia students on the Conservation and Restoration of Cultural Heritage Master’s program, some problems with the surface coating were encountered in the cleaning phase. Diagnostic and scientific analyses were crucial to better understanding the composition of these materials to perform the safest and most efficient cleaning procedures. The first of many steps required by this approach was an in situ analysis, starting from on-site analysis and diagnostic documentation through X-ray fluorescence spectroscopy and ultraviolet fluorescence photography, followed by laboratory investigations. The latter included µ-Raman and Fourier transform infrared spectroscopies, gas chromatography coupled with mass spectrometry, and scanning electron microscopy equipped with an energy-dispersive detector. Each technique provided useful data to determine the chemical composition of the white surface coating, which was found to be a non-original overpaint containing lead and organic binder. This overpaint had been applied to retouch the white stucco during a previous restoration project. All this new information contributed to achieving the final decision to remove this layer. Full article

The color design of architectural interior display spaces directly affects the effectiveness of cultural information communication and the visual cognitive experience of viewers. However, there is currently a lack of combined subjective and objective evaluation regarding how to scientifically translate and apply traditional color systems in modern contexts. This study takes the virtual display space of traditional Chinese floral arrangements as a case, aiming to construct an evaluation framework integrating the Semantic Differential Method and eye-tracking technology, to empirically examine how color schemes based on the translation of traditional aesthetics affect the subjective perception and objective visual attention behavior of modern viewers. Firstly, colors were extracted and translated from Song Dynasty paintings and literature, constructing five sets of culturally representative color combination samples, which were then applied to standardized virtual exhibition booths. Eye tracking data of 49 participants during free viewing were recorded via an eye-tracker, and their subjective ratings on four dimensions—cultural color atmosphere perception, color matching comfort level, artwork form clarity, and explanatory text clarity—were collected. Data analysis comprehensively employed linear mixed models, non-parametric tests, and Spearman’s rank correlation analysis. The results show that, regarding subjective perception, different color schemes exhibited significant differences in traditional feel, comfort, and text clarity, with Sample 4 and Sample 5 performing better on multiple indicators; a moderate-strength, significant positive correlation was found between traditional cultural atmosphere perception and color matching comfort. Regarding objective eye-tracking behavior, color significantly influenced the overall visual engagement duration and the processing depth of the text area. Among them, the color scheme of Sample 5 better promoted sustained reading of auxiliary textual information, while the total fixation duration obtained for Sample 4 was significantly shorter than that of other schemes. No direct correlation was found between subjective ratings and spontaneous eye-tracking behavior under the experimental conditions of this study; the depth of processing textual information was a key factor driving overall visual engagement. The research provides empirical evidence and design insights for the scientific application of color in spaces such as cultural heritage displays to optimize visual experience. Full article

Vuoiŋŋalaš Eanadat/Spirit Land is a transdisciplinary practice-based artistic research project around Sámi cosmology and the act of giving voice to indigenous reclamation of sacred spaces. The Sámi are the indigenous people of Sweden, Norway, Finland and Russia. Vuoiŋŋalaš Eanadat/Spirit Land is a hybrid fusion between textile art, music, poetry and theology, aiming at taking part in the decolonizing processes of indigenous people’s lands and cultures in Scandinavia. Practice-based artistic research is characterized by the fact that the research process proceeds by and through the act of artistic making. The artistic process is the core, and research methodologies and theoretical perspectives are built around it, functioning as a supporting framework. Reflective writing is used as means to get access to transpersonal depths of the creative process. Reflections upon different aspects of the artwork are developed and, simultaneously, on how it can be a seen as a vehicle for indigenous voices in order to be heard in sacred spaces of our time. Vuoiŋŋalaš Eanadat/Spirit Land is an artistic performance that functions as a ceremonial act of giving voice, a liberation from the silence of the colonized past. Full article

This article develops the concept of digital genealogy as a critical lens for understanding contemporary subjectivity in environments structured by platforms and algorithms. Building on Benjamin’s aura, Bauman’s liquidity, and Han’s burnout, the analysis traces how digital selfhood is produced through practices of performative presence, memory curation, and visibility. Empirical studies of selfies, ephemeral stories, and Bitmojis illustrate how authenticity is negotiated through fragments that are at once intimate and replicable, while van Dijck’s work shows how digital memory shifts from archiving the past to continuously fabricating the self. The paradox that emerges—identities are performed as fleeting yet archived permanently by infrastructures—reveals the coexistence of ephemerality and machinic inscription. Read through Benjamin’s concept of aura, reinterpreted by contemporary authors such as Mirzoeff, Groys, and Hansen, this transformation situates singularity not only in artworks but in the self, which must be ceaselessly enacted and recomposed in algorithmic environments. The framework also connects to critiques of precarity and exploitation: Marcuse, Fuchs, and Varoufakis highlight how self-expression doubles as unpaid digital labor within platform capitalism. Digital genealogy thus provides both a theoretical and normative contribution: it discloses the paradox of visibility and exhaustion as the price of belonging, and it points toward future empirical research—such as ethnographies of adolescents and creators—that can test how individuals negotiate the tension between platform imperatives and the desire for rooted self-narratives. Full article

(1) Background: From a post-secular perspective, the relationship between religions in the public sphere is conceived as an exchange in which religious beliefs, when formulated as rational arguments, contribute to building a shared public culture and foster a democratic transformation of interreligious relations. This article critiques this approach, highlighting its neglect of the lived experience of religion and, in particular, the situated and situational nature of processes of religious identity and religious difference formation. (2) Methods: Ethnographic observation of a performance held in a sacred art museum in Tuscany by immigrants from different religious backgrounds, four semi-structured interviews with performers, and one interview with the museum director were conducted. (3) Results: Personal and religious narratives, along with face-to-face interactions, generate dynamics of identification, differentiation, and situated identity redefinition. Interaction with the artwork, framed as a shared space, facilitates shifts in religious self and other positioning. It also reconfigures the boundaries between “us” and “them.” The artwork acts as a symbolic device that enables multiple interpretations and unexpected forms of recognition. (4) Conclusions: Relations of identification and distinction among religious identities are transformed not through abstract rational deliberation but through concrete, discursive, and performative practices. Full article

The conservation of cultural heritage has long garnered significant attention within the scientific community, particularly due to the biodeterioration processes driven by microbial colonization. These processes can severely compromise the aesthetic, chemical, and physical integrity of artworks. While traditional chemical biocides are widely used, they present notable drawbacks, including toxicity, chemical instability, and the risk of inducing microbial resistance. Accordingly, efforts to expand the repertoire of molecules with biocidal activity are of utmost significance. In this study, we report the synthesis and characterization of selenium-based biocides with biocidal activity. Characterization was performed using NMR spectroscopy and gas chromatography–mass spectrometry (GC-MS). The biocidal efficacy of these compounds was evaluated via algal growth inhibition tests (OECD 201), employing Raphidocelis subcapitata as a model organism. Our results indicate that certain seleno-sugars exhibit a dose-dependent inhibition of algal growth, suggesting superior biocidal activity compared to conventional agents. Notably, one compound demonstrated an optimal balance of efficacy and chemical stability and was selected for subsequent in vivo testing. Full article

The protection of masterpieces from natural hazards is one of the most important goals regarding heritage conservation. This work studies the seismic response of “Marzocco” by Donatello, which is the heraldic symbol of Florence, currently exposed at the National Museum of Bargello (Florence, Italy). The sculpture stands over a marble base and a magnificent marble pedestal by Benedetto da Maiano, which is part of the piece of art. The artwork is placed on the first floor of the museum, and it is subjected to seismic accelerations, eventually amplified by the seismic response of the building itself. The dynamic response of Marzocco is checked with reference to the overturning and sliding collapse mechanisms. Three overturning models have been considered, involving respectively the statue only, the statue and the base, and the statue with base and pedestal. The seismic input has been assumed through an ensemble of seven ground motions, which is spectrum-compatible with the Code’s one. Both the acceleration histories at the ground and at the floor have been considered. The seismic response has been found by performing a time-history analysis on a finite element model. The analysis showed a satisfactory seismic performance of the case study, pointing out the role of the single modeling assumptions. Full article

The analysis of historical pigments contributes significantly to understanding the materials and techniques used in artworks and in preserving cultural heritage. This work introduces a novel methodology for classifying historical pigments combining X-ray fluorescence (XRF) spectroscopy with machine learning techniques. We applied this approach to a representative heterogeneous dataset of historical pigments from the open-access spectral library INFRA-ART, as well as commercial oil colors and pigments with different particle sizes. A comparative analysis through principal component analysis (PCA) and hierarchical cluster analysis (HCA) demonstrates the advantages of the full-spectrum method over conventional peak-based strategies, offering improved classification performances and robustness. Employing the entire spectrum, it is possible to access additional key features for pigment discrimination that are discarded during the computation of the traditional methods and it is possible to have an efficient feature extraction even in more complex samples. This approach offers significant advantages by allowing the simultaneous processing of extensive datasets, which is useful for interpreting real-world scenarios in cultural heritage that are characterized by high heterogeneity. Full article

Contemporary muralism has gained increasing cultural and social relevance in recent years, becoming a prominent form of urban artistic expression. However, its outdoor exposure makes it highly vulnerable to environmental degradation, raising significant challenges for long-term preservation. While solar radiation is widely recognized as a main agent of deterioration, the impact of rainfall has received comparatively little attention. This study addresses this gap by evaluating the durability of commercial protective coatings applied to modern paints (alkyd, acrylic, and styrene-acrylic) under simulated rain exposure. The ageing protocol replicates approximately 10 years of cumulative rainfall in Central-Southern Europe. A key innovation of this research is the use of a custom-built rain chamber, uniquely designed to expose a large number of samples simultaneously under highly uniform and controlled rain conditions. The system ensures reproducible exposure through a precision-controlled moving platform and programmable rain delivery. A comprehensive set of analytical techniques was employed to assess morphological, chemical, and functional changes in the coatings and paints before and after ageing. Results highlight the limited performance of current protective materials and the need for more effective solutions for the conservation of contemporary outdoor artworks. Full article

Artistic style transfer aims to transfer the style of an artwork to a photograph while maintaining its original overall content. Although current style-transfer methods have achieved promising results when processing photorealistic images, they often struggle with brushstroke preservation in artworks, especially in styles such as oil painting and pointillism. In such cases, the extracted style and content features tend to include redundant information, leading to issues such as blurred edges and a loss of fine details in the transferred images. To address this problem, this paper proposes a multi-scale general style-transfer network based on diffusion models. The proposed network consists of a coarse style-transfer module and a refined style-transfer module. First, the coarse style-transfer module is designed to perform mainstream style-transfer tasks more efficiently by operating on downsampled images, enabling faster processing with satisfactory results. Next, to further enhance edge fidelity, a refined style-transfer module is introduced. This module utilizes a segmentation component to generate a mask of the main subject in the image and performs edge-aware refinement. This enhances the fusion between the subject’s edges and the target style while preserving more detailed features. To improve overall image quality and better integrate the style along the content boundaries, the output from the coarse module is upsampled by a factor of two and combined with the subject mask. With the assistance of ControlNet and Stable Diffusion, the model performs content-aware edge redrawing to enhance the overall visual quality of the stylized image. Compared with state-of-the-art style-transfer methods, the proposed model preserves more edge details and achieves more natural fusion between style and content. Full article

The study at the Peggy Guggenheim Collection in Venice highlights critical interactions between indoor air quality, visitor dynamics, and microclimatic conditions, offering insights into preventive conservation of modern artworks. By analyzing pollutants such as ammonia, formaldehyde, and organic acids, alongside visitor density and environmental data, the research identified key patterns and risks. Through three seasonal monitoring campaigns, the concentrations of SO₂ (sulphur dioxide), NO (nitric oxide), NO₂ (nitrogen dioxide), NO_x (nitrogen oxides), HONO (nitrous acid), HNO₃ (nitric acid), O₃ (ozone), NH₃ (ammonia), CH₃COOH (acetic acid), HCOOH (formic acid), and HCHO (formaldehyde) were determined using passive samplers, as well as temperature and relative humidity data loggers. In addition, two specific short-term monitoring campaigns focused on NH₃ were performed to evaluate the influence of visitor presence on indoor concentrations of the above compounds and environmental parameters. NH₃ and HCHO concentrations spiked during high visitor occupancy, with NH₃ levels doubling in crowded periods. Short-term NH₃ campaigns confirmed a direct correlation between visitor numbers and the above indoor concentrations, likely due to human emissions (e.g., sweat, breath) and off-gassing from materials. The indoor/outdoor ratios indicated that several pollutants originated from indoor sources, with ammonia and acetic acid showing the highest indoor concentrations. By measuring the number of visitors and microclimate parameters (temperature and humidity) every 3 s, we were able to precisely estimate the causality and the temporal shift between these quantities, both at small time scale (a few minute delay between peaks) and at medium time scale (daily average conditions due to the continuous inflow and outflow of visitors). Full article