The Social Photo: On Photography and Social Media, by Nathan Jurgenson

Sturt, Andy

doi:10.1080/15551393.2019.1685304

Cited by 2 publications

(1 citation statement)

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“…Moreover, the ubiquity of mobile phones and social norms have democratized the capture, storage, and sharing of 2D images, resulting in a near‐infinite supply of freely available images [Stu19]. In summary, by the end of the 2010s, all the essential ingredients for the success of 2D diffusion models were in place: a well‐defined mathematical framework, flexible function approximators capable of learning expressive image transformations, and an abundant supply of training data.…”

Section: Fundamentals Of Diffusion Modelsmentioning

confidence: 99%

State of the Art on Diffusion Models for Visual Computing

Po,

Yifan,

Golyanik

et al. 2024

Computer Graphics Forum

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The field of visual computing is rapidly advancing due to the emergence of generative artificial intelligence (AI), which unlocks unprecedented capabilities for the generation, editing, and reconstruction of images, videos, and 3D scenes. In these domains, diffusion models are the generative AI architecture of choice. Within the last year alone, the literature on diffusion‐based tools and applications has seen exponential growth and relevant papers are published across the computer graphics, computer vision, and AI communities with new works appearing daily on arXiv. This rapid growth of the field makes it difficult to keep up with all recent developments. The goal of this state‐of‐the‐art report (STAR) is to introduce the basic mathematical concepts of diffusion models, implementation details and design choices of the popular Stable Diffusion model, as well as overview important aspects of these generative AI tools, including personalization, conditioning, inversion, among others. Moreover, we give a comprehensive overview of the rapidly growing literature on diffusion‐based generation and editing, categorized by the type of generated medium, including 2D images, videos, 3D objects, locomotion, and 4D scenes. Finally, we discuss available datasets, metrics, open challenges, and social implications. This STAR provides an intuitive starting point to explore this exciting topic for researchers, artists, and practitioners alike.

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Section: Fundamentals Of Diffusion Modelsmentioning

confidence: 99%

State of the Art on Diffusion Models for Visual Computing

Po,

Yifan,

Golyanik

et al. 2024

Computer Graphics Forum

View full text Add to dashboard Cite

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Curating culture: Instagram and the visual representation of heritage tourism in Surabaya

Rahmawati,

Tutiasri,

Febriyanti

2024

Indonesian Journal of Communications Studies

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This study investigates how Instagram shapes public engagement with cultural heritage through a case study in Surabaya, Indonesia. Surabaya possesses diverse assets; however, its tourism potential remains underexplored compared with established destinations such as Yogyakarta. Instagram offers opportunities to study how Surabaya’s identity is visually constructed and promoted to visitors. Through hashtag #surabayaheritage, users practice certain perspectives on the city’s multifaceted history. This study aims to investigate how Instagram shapes public engagement with cultural heritage through a case study of Surabaya, Indonesia. Specifically, this research examines how Surabaya's identity is visually constructed through the hashtag #surabayaheritage on Instagram. Employing both qualitative content analysis and critical visual discourse, this study examined 100 top Instagram posts, revealing that heritage discourse dominated the posts, with Dutch colonial buildings being the primary photographic subjects. The research findings also emphasise that while the historical discourse emphasises architectural details and educational history, it marginalises other aspects of cultural heritage, especially those that do not originate from the colonial era. By applying visual discourse analysis, this aestheticised selective gaze indicates the productive power of Instagram conventions in framing heritage sites. Further research should incorporate non-Instagram perspectives and spatial analysis. As heritage tourism expands globally, critical examination of social media discourse provides vital insights into the risks and opportunities for inclusive and sustainable development, particularly for local communities.

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The Social Photo: On Photography and Social Media, by Nathan Jurgenson

Cited by 2 publications

References 0 publications

State of the Art on Diffusion Models for Visual Computing

State of the Art on Diffusion Models for Visual Computing

Curating culture: Instagram and the visual representation of heritage tourism in Surabaya

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