Anna Anguissola teaches classical archaeology at the University of Pisa. Her principal research on Greco-Roman visual, material and literary culture has focused on urban development, the relationship between Greek and Roman art, the history and techniques of ancient sculpture, the Greek and Latin literary sources on the figural arts and the reception of classical art in later periods. She is the author of Supports in Roman Marble Sculpture: Workshop Practice and Modes of Viewing (Cambridge 2018), Difficillima imitatio. Immagine e lessico delle copie tra Grecia e Roma (Rome 2012) and Intimità a Pompei: Riservatezza, condivisione e prestigio negli ambienti ad alcova di Pompei (Berlin 2010). She coordinates the University of Pisa’s field research in Pompeii’s Regio II and in the northern and southwestern burial grounds of Hierapolis in Phrygia.
Jnaneshwar Das, Christopher Filkins, Rajesh Moharana
et al.
Navagunjara Reborn: The Phoenix of Odisha was built for Burning Man 2025 as both a sculpture and an experiment-a fusion of myth, craft, and computation. This paper describes the digital-physical workflow developed for the project: a pipeline that linked digital sculpting, distributed fabrication by artisans in Odisha (India), modular structural optimization in the U.S., iterative feedback through photogrammetry and digital twins, and finally, one-shot full assembly at the art site in Black Rock Desert, Nevada. The desert installation tested not just materials, but also systems of collaboration: between artisans and engineers, between myth and technology, between cultural specificity and global experimentation. We share the lessons learned in design, fabrication, and deployment and offer a framework for future interdisciplinary projects at the intersection of cultural heritage, STEAM education, and public art. In retrospect, this workflow can be read as a convergence of many knowledge systems-artisan practice, structural engineering, mythic narrative, and environmental constraint-rather than as execution of a single fixed blueprint.
"Quantum est in libris" explores the intersection of the archaic and the modern. On one side, there are manuscript materials from the Estonian National Museum's (ERM) more than century-old archive describing the life experiences of Estonian people; on the other side, there is technology that transforms these materials into a dynamic and interactive experience. Connecting technology and cultural heritage is the visitor, who turns texts into inputs for a screen sculpture. Historical narratives are visually brought to life through the contemporary technological language. Because the video AI models we employed, Runway Gen-3 and Gen-4, have not previously interacted with Estonian heritage, we can observe how machines today "read the world" and create future heritage. "Quantum est in libris" introduces an exciting yet unsettling new dimension to the concept of cultural heritage: in a world where data are fluid and interpretations unstable, heritage status becomes fragile. In the digital environment, heritage issues are no longer just about preservation and transmission, but also about representation of the media, machine creativity, and interpretive error. Who or what shapes memory processes and memory spaces, and how?
Viswa Chaitanya Marella, Sai Teja Erukude, Suhasnadh Reddy Veluru
The introduction of Artificial Intelligence (AI) into the domains of traditional art (visual arts, performing arts, and crafts) has sparked a complicated discussion about whether this might be an agent of disruption or an enhancement of our traditional art forms. This paper looks at the duality of AI, exploring the ways that recent technologies like Generative Adversarial Networks and Diffusion Models, and text-to-image generators are changing the fields of painting, sculpture, calligraphy, dance, music, and the arts of craft. Using examples and data, we illustrate the ways that AI can democratize creative expression, improve productivity, and preserve cultural heritage, while also examining the negative aspects, including: the threats to authenticity within art, ethical concerns around data, and issues including socio-economic factors such as job losses. While we argue for the context-dependence of the impact of AI (the potential for creative homogenization and the devaluation of human agency in artmaking), we also illustrate the potential for hybrid practices featuring AI in cuisine, etc. We advocate for the development of ethical guidelines, collaborative approaches, and inclusive technology development. In sum, we are articulating a vision of AI in which it amplifies our innate creativity while resisting the displacement of the cultural, nuanced, and emotional aspects of traditional art. The future will be determined by human choices about how to govern AI so that it becomes a mechanism for artistic evolution and not a substitute for the artist's soul.
Ruled surfaces play an important role in various types of design, architecture, manufacturing, art, and sculpture. They can be created in a variety of ways, which is a topic that has been the subject of much discussion in mathematics and engineering journals. In geometric modelling, ideas are successful if they are not too complex for engineers and practitioners to understand and not too difficult to implement, because these specialists put mathematical theories into practice by implementing them in CAD/CAM systems. Some of these popular systems such as AutoCAD, Solidworks, CATIA, Rhinoceros 3D, and others are based on simple polynomial or rational splines and many other beautiful mathematical theories that have not yet been implemented due to their complexity. Based on this philosophy, in the present work, we investigate a simple way to generate ruled surfaces whose generators are the curvature axes of curves. We show that this type of ruled surface is a developable surface and that there is at least one curve whose curvature axis is a line on the given developable surface. In addition, we discuss the classifications of developable surfaces corresponding to space curves with singularities, while these curves and surfaces are most often avoided in practical design. Our research also contributes to the understanding of the singularities of developable surfaces and, in their visualisation, proposes the use of environmental maps with a circular pattern that creates flower-like structures around the singularities.
Haploceratids from the Štramberk Limestones represent three genera Haploceras, Hypolissoceras, and Volanites. The most species reach genus is Haploceras. The semi-involute shells of the local haploceratids are almost smooth or only with a specific sculpture bound to the ventral region near the peristome. The whorls tend to be weakly arched or flat. Statistical elaboration of H/D, U/D and B/D values during shell growth shows no significant differences between these values, except perhaps for U/D. The external morphology plays a decisive role in the generic and species identification of haploceratids. It is known that haploceratids form dimorphic pairs, as evidenced by the differently shaped peristomes in addition to the different shell sizes. Dimorphic pairs have been demonstrated as new in the Štramberk material for the pairs Haploceras staszycii (microconch, m) and Haploceras elimatum (macroconch, M), as well as Hypolissoceras carachtheis (m) and Hypolissoceras woehleri (M). Haploceras tithonium and Volanites verrucosus possessed dimorphic pairs but their counterparts have not been found in the Štramberk Limestone. With the exception of Volanites verruciferus, the species described here are of no stratigraphical importance. Their stratigraphic range is from the lower Tithonian to the lower Berriasian.
Giuseppe Seminara, Marco Alessi, Maria Carmela Zagari
et al.
Gender dysphoria stems from incongruence between gender identity and assigned sex, often causing significant distress related to breast anatomy in transmasculine individuals. Gender-affirming hormone therapy typically precedes mastectomy, which is a fundamental intervention in transgender healthcare. Surgical challenges arise in patients with large breasts on lean frames, requiring customized techniques to achieve a natural, proportional, androgynous chest. This case report describes a 23-year-old transmasculine patient with macromastia and a tall, lean build who underwent gender-affirming mastectomy with free nipple grafts and muscular sculpture aimed at an androgynous esthetic. Pre- and postoperative evaluations showed marked improvements in body image, physical strength performance, and emotional well-being. Psychological assessments revealed significant reductions in body uneasiness and gender dysphoria, while human figure drawings demonstrated increasing bodily integration and identity congruence. A general improvement in physical performance over time was reported, particularly in upper body strength, with minor fluctuations potentially related to the surgical intervention and recovery phase. The narrative literature review supports these outcomes, highlighting satisfaction rates above 90%, minimal regret, and consistent gains in psychosocial functioning and sexual and mental health, including reduced anxiety and depression. This evidence reinforces that gender-affirming mastectomy is medically necessary, particularly when tailored to individual anatomical and esthetic needs, affirming identity and alleviating distress.
Thanks to advances in deep learning techniques, Human Pose Estimation (HPE) has achieved significant progress in natural scenarios. However, these models perform poorly in artificial scenarios such as painting and sculpture due to the domain gap, constraining the development of virtual reality and augmented reality. With the growth of model size, retraining the whole model on both natural and artificial data is computationally expensive and inefficient. Our research aims to bridge the domain gap between natural and artificial scenarios with efficient tuning strategies. Leveraging the potential of language models, we enhance the adaptability of traditional pose estimation models across diverse scenarios with a novel framework called VLPose. VLPose leverages the synergy between language and vision to extend the generalization and robustness of pose estimation models beyond the traditional domains. Our approach has demonstrated improvements of 2.26% and 3.74% on HumanArt and MSCOCO, respectively, compared to state-of-the-art tuning strategies.
David Marr's seminal theory of vision proposes that the human visual system operates through a sequence of three stages, known as the 2D sketch, the 2.5D sketch, and the 3D model. In recent years, Deep Neural Networks (DNN) have been widely thought to have reached a level comparable to human vision. However, the mechanisms by which DNNs accomplish this and whether they adhere to Marr's 2D--2.5D--3D construction theory remain unexplored. In this paper, we delve into the perception task to explore these questions and find evidence supporting Marr's theory. We introduce a graphics probe, a sub-network crafted to reconstruct the original image from the network's intermediate layers. The key to the graphics probe is its flexible architecture that supports image in both 2D and 3D formats, as well as in a transitional state between them. By injecting graphics probes into neural networks, and analyzing their behavior in reconstructing images, we find that DNNs initially encode images as 2D representations in low-level layers, and finally construct 3D representations in high-level layers. Intriguingly, in mid-level layers, DNNs exhibit a hybrid state, building a geometric representation that s sur normals within a narrow depth range, akin to the appearance of a low-relief sculpture. This stage resembles the 2.5D representations, providing a view of how DNNs evolve from 2D to 3D in the perception process. The graphics probe therefore serves as a tool for peering into the mechanisms of DNN, providing empirical support for Marr's theory.
Talking about contemporary Arabian and African sculpture is worthy of consideration to study because we truly need to discuss "conflicts" as a concept and its impact on creating sculptural works due to these surrounding changes that peoples and societies have been experienced., when we try to monitor the artistic movement of the African and Arabian societies we find out artists have presented a contemporary concepts through their formative visions that draw our attentions especially when it comes to dealing with conflicts as a concept according to the national issues and troubles in their country , so sculpture nowadays has come to express the culture of communities more and more because the world is witnessing lots of crises and pressure which had the greatest effect on the formation of artistic vision to the Arabian and African artists and manifested in their work . Through their sculpture they were able to share their peoples in translating history that included controversial events, and that’s because they didn’t just introduce new art forms but they went deep to the core of it to express their visions and issues in an efficient way. Human topics that considered as a reflection of man's concerns and suffering in Arab and African societies are serve as a panorama to monitor and capture the events through history. That’s why the researcher shaded light on some of the successful examples and how they introduced their artistic visions to become a mixture of their creativities and humanitarian issues, Which created a breakthrough in African and Arabian sculpture and turned it to an important tool to represent the identity and the issues of each society. Art is a human phenomenon reflects the culture of the society and considered a communication tool and related to the core of the culture of this time and become the cultural expressions of the century.
The Romanisation of Lusitania (Hispania) took place in the time of Augustus, after the conquest of the Hispanic territory at the end of the 1st century BC. Bronze has largely disappeared from the archaeological remains, due to its constant reuse. In the early decorative programmes of some Lusitanian cities there are important traces of bronze sculptures. We present three examples: Sculptures from the provincial capital Augusta Emerita in its first public decorative phase in local granite and bronze, before the massive presence of marble; an equestrian statue from the forum of the colonia Norbensis Caesarina, perhaps representing its founding patron Lucius Cornelius Balbus, and an imperial statuary fragment from the Roman theatre of the colonia of Metellinum. They all date from the Augustan period and attest to the presence of important bronze workshops in the western part of the Empire.
A study was conducted to prove AI software could be used to translate and generate illustrations without any human intervention. This was done with the purpose of showing and distributing it to the external customer, Pratham Books. The project aligns with the company's vision by leveraging the generalisation and scalability of Machine Learning algorithms, offering significant cost efficiency increases to a wide range of literary audiences in varied geographical locations. A comparative study methodology was utilised to determine the best performant method out of the 3 devised, Prompt Augmentation using Keywords, CLIP Embedding Mask, and Cross Attention Control with Editorial Prompts. A thorough evaluation process was completed using both quantitative and qualitative measures. Each method had its own strengths and weaknesses, but through the evaluation, method 1 was found to have the best yielding results. Promising future advancements may be made to further increase image quality by incorporating Large Language Models and personalised stylistic models. The presented approach can also be adapted to Video and 3D sculpture generation for novel illustrations in digital webbooks.
In this work, the artistic style of the sixteenth century Portuguese artist António Campelo in Alegoria à Prudência is analyzed in order to create a computational tool that allows one to transform any 3D digital sculpture model into an image that resembles the modeled style. From this analysis the problem is divided into two parts: detection and drawing of contour lines and the shading of the scene. Several techniques from Non Photorealistic Rendering (NPR) and from Photorealistic Rendering that can resolve the problem are presented and, based on this study, a possible solution is presented. Each modeled rendering component is then analyzed using image based methods against the proposed artistic style and parameters are adjusted for a closer match. In the final stage a group of people was asked to answer a questionnaire where the similarity between the renderings of different objects and the original style was classified according to their personal opinion. One of our findings is that although the source 3D objects cannot be readily found for a direct comparison, nor can the paper medium with centuries old damage be the same, the comparison of sub -parts of both images of the same topology was still possible validating our method and discarding other styles from the comparison.
We present Neural Congealing -- a zero-shot self-supervised framework for detecting and jointly aligning semantically-common content across a given set of images. Our approach harnesses the power of pre-trained DINO-ViT features to learn: (i) a joint semantic atlas -- a 2D grid that captures the mode of DINO-ViT features in the input set, and (ii) dense mappings from the unified atlas to each of the input images. We derive a new robust self-supervised framework that optimizes the atlas representation and mappings per image set, requiring only a few real-world images as input without any additional input information (e.g., segmentation masks). Notably, we design our losses and training paradigm to account only for the shared content under severe variations in appearance, pose, background clutter or other distracting objects. We demonstrate results on a plethora of challenging image sets including sets of mixed domains (e.g., aligning images depicting sculpture and artwork of cats), sets depicting related yet different object categories (e.g., dogs and tigers), or domains for which large-scale training data is scarce (e.g., coffee mugs). We thoroughly evaluate our method and show that our test-time optimization approach performs favorably compared to a state-of-the-art method that requires extensive training on large-scale datasets.
Spatiotemporal sculpturing of light pulse with ultimately sophisticated structures represents the holy grail of the human everlasting pursue of ultrafast information transmission and processing as well as ultra-intense energy concentration and extraction. It also holds the key to unlock new extraordinary fundamental physical effects. Traditionally, spatiotemporal light pulses are always treated as spatiotemporally separable wave packet as solution of the Maxwell's equations. In the past decade, however, more generalized forms of spatiotemporally nonseparable solution started to emerge with growing importance for their striking physical effects. This roadmap intends to highlight the recent advances in the creation and control of increasingly complex spatiotemporally sculptured pulses, from spatiotemporally separable to complex nonseparable states, with diverse geometric and topological structures, presenting a bird's eye viewpoint on the zoology of spatiotemporal light fields and the outlook of future trends and open challenges.
Arthit Pholyotha, Chirasak Sutcharit, Aung Lin
et al.
Salween River basin’s karst ecosystems in southeastern Myanmar remain largely unexplored and are likely to harbour a high terrestrial snail diversity that are often associated with high levels of snail endemism. Here, an outstanding group of new karst-associated terrestrial snails, Burmochlamys gen. nov., are discovered. A study of the comparative morphological and anatomical data reveals that the reproductive tract and radula of this new genus are closely related to the helicarionid genus Sophina Benson, 1859 but shell morphology (shape, size, and sculpture) and mantle extensions are distinct from the latter genus. Burmochlamys gen. nov. now consists of four known nominal species, B. cassidula comb. nov., B. cauisa comb. nov., B. perpaula comb. nov., and B. poongee comb. nov., and five new species; B. albida sp. nov., B. fasciola sp. nov., B. moulmeinica sp. nov., B. versicolor sp. nov., and B. whitteni sp. nov. The highlight is that the members of the new genus show site-specific endemism, being restricted to karstic habitat islands of the Salween River basin. In addition, the discovery supports that the unique and complex structure of Salween River basin’s karst ecosystems are habitats in which the terrestrial malacofauna have speciated and become endemic.
Introduction The famous stucco limestone coated “Bust of Nefertiti” housed in the Neues Museum, Germany dated 1,345 BC is an icon of beauty. Sculpted around three millennia ago by Thutmose, the bust still emits a charm that leaves its audience spellbound. However, no one, to the best of author's knowledge, has analyzed this sculpture or its photographs objectively to determine if there is any scientific basis to its attractiveness.
Materials and Methods High-resolution photographs of the bust were anthropometrically analyzed in frontal and right lateral profile views using neoclassical canons and Farkas' studies.
Results The photographs of the bust exhibit many of the neoclassical canons and proportions of Farkas' studies exactly, while many of the remaining are very close to these measurements. A few measurements are out of range of what is considered acceptable these days; however, her overall appearance is pleasing.
Conclusion Despite passage of more than three millennia, the proportions and parameters defining beautiful faces have largely remained unchanged.
In order to solve the problem of the reinforcement effect of art sculpture, the author proposes the application of a calcium-based nanomaterial in the reinforcement process of art sculpture. This application mainly passes the unconfined compression test, direct shear test, penetration resistance test, and disintegration test, and an in-depth evaluation of the reinforcement effect of different calcium-based reinforcement agents on the site soil was carried out from the perspective of mechanical strength and water stability. The results showed the following: Compared with the untreated samples, the unconfined compressive strength of the samples treated with nano-calcium oxide and nano-calcium hydroxide increased by 13.5% and 25.9%, respectively, and the cohesion increased by 69.8% and 97.7%. Conclusion. Calcium-based nanomaterials fill in the pores between soil particles to support the soil particles, which greatly improves the mechanical strength and water stability of the specimen.