Simranjeet Nanda
Biographic Data
| ID | 8967882 |
|---|---|
| NAME | Simranjeet Nanda |
| GIVEN NAMES | Simranjeet |
| FAMILY NAME | Nanda |
| SIGNATURE | NANDA S |
| AFFILIATIONS | Chitkara University |
| VERIFIED | No |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Neural Rendering Systems to Produce Hyper-Realistic Artistic Visuals for Multimedia Productions
Neural rendering has been the disruptive technology in the creation of very realistic content of the visual multimedia production that the computer graphics and deep learning have substituted. This paper examines the neural rendering systems that can be trained to produce hyper-realistic artistic images through the acquisition of the complex representations of scenes based on multi-view image representations. The suggested architecture compiles t…
Digital Aesthetics in the Age of Machine Learning
The speed with which machine learning is becoming deeply embedded in creative production, curation, and interpretation has radically altered digital aesthetics. The classical aesthetic theory has difficulty explaining algorithmic authorship, forming data driven styles, and hybrid human-AI creativity, which present conceptual and methodological gaps in the research of contemporary art. The paper explores the role of machine learning models in chan…
Augmented Reality in Photographic Storytelling
AR has transformed the visual and experiential aspect of the photography story telling by uniting the definitions of both in one place, blending the static visuals with the interactive spatial based stories. AR turns the viewer into an active participant instead of the passive one, because of its capacity to extend photography into a multisensory, three-dimensional space, and is creating new avenues of meaning, feeling, and interaction. Embodied …
Intelligent Assessment Systems in Digital Art Education
During educational assessment, the Artificial Intelligence (AI) has become the new way of assessing creativity and skill, specifically in the teaching of digital art. This article discusses the development and application of Intelligent Assessment Systems (IAS) that have the capability of assessing artistic outputs objectively and holistically. Conventional approaches to art assessment are more subjective and thus hard to scale and be consistent.…
Sustainable Photo Printing Through Smart Optimization
The increased pressure on the quality of digital imaging has exacerbated the environmental impact of photo printing, and it is necessary to have sustainable and smart production systems. With the introduction of innovative technologies and methods to combine high-quality artificial intelligence (AI), Internet of Things (IoT) sensing, and lifecycle analytics, it is possible to make a radical change in the course of eco-efficient printing operation…
Community-Driven Ai Models for Cultural Art Education
This paper discusses the concept of community-based engagement in the implementation of artificial intelligence in cultural art education, how artificial intelligence can be used to facilitate creative learning without affecting the cultural authenticity. A four-week student-teacher-local artisan case study established that AI considerably promoted creative interactions, multimodal learning, as well as cultural cognition. Nevertheless, the result…
Management Ethics in the Ai-Art Ecosystem
The creativity, ownership and ethics of the art ecosystem has been re-defined in a manner that has never before been witnessed due to the fast changing nature of the artificial intelligence (AI) inside the art ecosystem. The problem that the ethics of management in this new domain deals with is the balancing of innovation and moral responsibility, to achieve transparency, fairness, and respect of the human beings and creative integrity. Ethical m…
Study on Analysing the Student Perspectives on Cultural and Social Diversity in Education
Education is presently required to create inclusive, supportive, and validating environments for education and experiences, while educational organizations continue to maintain students from many different kinds of cultural and socially diverse backgrounds. This research investigates how students engage and collaborate with diverse cultures and social environments to identify the key features influencing their social relationships and learning ou…
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Study on Analysing the Student Perspectives on Cultural and Social Diversity in Education
Education is presently required to create inclusive, supportive, and validating environments for education and experiences, while educational organizations continue to maintain students from many different kinds of cultural and socially diverse backgrounds. This research investigates how students engage and collaborate with diverse cultures and social environments to identify the key features influencing their social relationships and learning ou…
Digital Aesthetics in the Age of Machine Learning
The speed with which machine learning is becoming deeply embedded in creative production, curation, and interpretation has radically altered digital aesthetics. The classical aesthetic theory has difficulty explaining algorithmic authorship, forming data driven styles, and hybrid human-AI creativity, which present conceptual and methodological gaps in the research of contemporary art. The paper explores the role of machine learning models in chan…
Augmented Reality in Photographic Storytelling
AR has transformed the visual and experiential aspect of the photography story telling by uniting the definitions of both in one place, blending the static visuals with the interactive spatial based stories. AR turns the viewer into an active participant instead of the passive one, because of its capacity to extend photography into a multisensory, three-dimensional space, and is creating new avenues of meaning, feeling, and interaction. Embodied …
Intelligent Assessment Systems in Digital Art Education
During educational assessment, the Artificial Intelligence (AI) has become the new way of assessing creativity and skill, specifically in the teaching of digital art. This article discusses the development and application of Intelligent Assessment Systems (IAS) that have the capability of assessing artistic outputs objectively and holistically. Conventional approaches to art assessment are more subjective and thus hard to scale and be consistent.…
Sustainable Photo Printing Through Smart Optimization
The increased pressure on the quality of digital imaging has exacerbated the environmental impact of photo printing, and it is necessary to have sustainable and smart production systems. With the introduction of innovative technologies and methods to combine high-quality artificial intelligence (AI), Internet of Things (IoT) sensing, and lifecycle analytics, it is possible to make a radical change in the course of eco-efficient printing operation…
Community-Driven Ai Models for Cultural Art Education
This paper discusses the concept of community-based engagement in the implementation of artificial intelligence in cultural art education, how artificial intelligence can be used to facilitate creative learning without affecting the cultural authenticity. A four-week student-teacher-local artisan case study established that AI considerably promoted creative interactions, multimodal learning, as well as cultural cognition. Nevertheless, the result…
Management Ethics in the Ai-Art Ecosystem
The creativity, ownership and ethics of the art ecosystem has been re-defined in a manner that has never before been witnessed due to the fast changing nature of the artificial intelligence (AI) inside the art ecosystem. The problem that the ethics of management in this new domain deals with is the balancing of innovation and moral responsibility, to achieve transparency, fairness, and respect of the human beings and creative integrity. Ethical m…
Neural Rendering Systems to Produce Hyper-Realistic Artistic Visuals for Multimedia Productions
Neural rendering has been the disruptive technology in the creation of very realistic content of the visual multimedia production that the computer graphics and deep learning have substituted. This paper examines the neural rendering systems that can be trained to produce hyper-realistic artistic images through the acquisition of the complex representations of scenes based on multi-view image representations. The suggested architecture compiles t…
Aesthetic Perception and Analysis (3 works) · Artificial neural network (2 works) · Digital Media and Visual Art (2 works) · Generative Adversarial Networks and Image Synthesis (2 works) · Music Technology and Sound Studies (2 works) · 3D Surveying and Cultural Heritage (1 work) · Accountability (1 work) · Additive Manufacturing and 3D Printing Technologies (1 work) · Aesthetic experience (1 work) · Alternate frame rendering (1 work)