Vishal Ambhore
Biographic Data
| ID | 8967706 |
|---|---|
| NAME | Vishal Ambhore |
| GIVEN NAMES | Vishal |
| FAMILY NAME | Ambhore |
| SIGNATURE | AMBHORE V |
| AFFILIATIONS | International Institute of Information Technology |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Ai-Generated Learning Resources for Creative Fields
With the rapid development of artificial intelligence, the production and distribution of educational material have changed, especially in such creative industries as art, design, music, media, and architecture. The paper explores how AI-generated learning tools can be used to improve creative education through offering adaptive, multimodal, and personalized teaching resources. In contrast to more conventional tools of a static nature, generative…
High-Resolution Photogrammetry for Accurate 3d Replication of Traditional Sculptural Works
High-resolution photogrammetry has become an influential non-invasive procedure of the non-erroneous 3D recreation of the conventional sculptural pieces, which has numerous benefits compared to the traditional casting and hand modeling procedures. The paper is a proposal of a high-fidelity photogrammetry system to document complex geometric characteristics of textures on the surfaces of iconic sculptures. The design incorporates the high-resoluti…
Cultural Preservation Through Ai-Generated Folk Music
Digital preservation of cultures needs to be approached creatively to protect the traditional knowledge of the culture and keeping it relevant to the generations to come. This paper suggests an artificial intelligence-based model of folk music culture creation, analysis and renewal in various cultural areas. Based on the application of deep generative models (recurrent neural networks, Transformers, and diffusion-based audio synthesis), the model…
Gan-Based Reconstruction of Vintage Prints
Vintage prints are crucial to preserve the cultural, historical, and artistic heritage and although traditional techniques of restoration are important challenges, physical deterioration, including fading, stains, ripping, and noise are major obstacles to preserve printed images. Manual conservation and classical methods of digital inpainting can be time-consuming, subjective and unable to match the level of fine textuality and stylistic fidelity…
Ai for Inclusive Art Education for Differently Abled Learners
This paper examines the change potential within Artificial Intelligence (AI) in supporting the inclusion of the differently abled in learning art. As a form of expression, art is very vital in the development of creativity, emotional intelligence, and communication skills. The standard systems of art education do not however support the diversity of needs of students with physical, sensory or cognitive disabilities. Through the use of AI technolo…
No prominent works on this page.
Cultural Preservation Through Ai-Generated Folk Music
Digital preservation of cultures needs to be approached creatively to protect the traditional knowledge of the culture and keeping it relevant to the generations to come. This paper suggests an artificial intelligence-based model of folk music culture creation, analysis and renewal in various cultural areas. Based on the application of deep generative models (recurrent neural networks, Transformers, and diffusion-based audio synthesis), the model…
Gan-Based Reconstruction of Vintage Prints
Vintage prints are crucial to preserve the cultural, historical, and artistic heritage and although traditional techniques of restoration are important challenges, physical deterioration, including fading, stains, ripping, and noise are major obstacles to preserve printed images. Manual conservation and classical methods of digital inpainting can be time-consuming, subjective and unable to match the level of fine textuality and stylistic fidelity…
Ai for Inclusive Art Education for Differently Abled Learners
This paper examines the change potential within Artificial Intelligence (AI) in supporting the inclusion of the differently abled in learning art. As a form of expression, art is very vital in the development of creativity, emotional intelligence, and communication skills. The standard systems of art education do not however support the diversity of needs of students with physical, sensory or cognitive disabilities. Through the use of AI technolo…
Ai-Generated Learning Resources for Creative Fields
With the rapid development of artificial intelligence, the production and distribution of educational material have changed, especially in such creative industries as art, design, music, media, and architecture. The paper explores how AI-generated learning tools can be used to improve creative education through offering adaptive, multimodal, and personalized teaching resources. In contrast to more conventional tools of a static nature, generative…
High-Resolution Photogrammetry for Accurate 3d Replication of Traditional Sculptural Works
High-resolution photogrammetry has become an influential non-invasive procedure of the non-erroneous 3D recreation of the conventional sculptural pieces, which has numerous benefits compared to the traditional casting and hand modeling procedures. The paper is a proposal of a high-fidelity photogrammetry system to document complex geometric characteristics of textures on the surfaces of iconic sculptures. The design incorporates the high-resoluti…
Cultural heritage (2 works) · Generative grammar (2 works) · Image Processing and 3D Reconstruction (2 works) · Music Technology and Sound Studies (2 works) · 3D reconstruction (1 works) · 3D Surveying and Cultural Heritage (1 works) · Aesthetic Perception and Analysis (1 works) · Art Education and Development (1 works) · Art, Technology, and Culture (1 works) · Artificial Intelligence in Games (1 works)