Aashim Dhawan
Biographic Data
| ID | 8969426 |
|---|---|
| NAME | Aashim Dhawan |
| GIVEN NAMES | Aashim |
| FAMILY NAME | Dhawan |
| SIGNATURE | DHAWAN A |
| AFFILIATIONS | Chitkara University |
| ORCID | 0009-0003-5091-8645 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Exploring Algorithmic Creativity and Its Influence on Human–machine Co-Created Visual Artworks
Algorithmic creativity has become a paradigm shift in digital art in the modern world, facilitating new interactions between intelligent computational systems and human artists. This research examines how the use of algorithmic processes in the development of artworks by humans and machines impacts human-computer co-created visual art and evaluates the impact of artificial intelligence in creative production. The study analyzes theoretical approa…
Deepfake Art Threat or Innovation in Digital Creativity
The boundaries of the digital creativity have been re-established with the introduction of the deepfake technology, which is facilitated by advanced artificial intelligence and machine learning algorithms. Deepfake art is an act of creating and altering images and audio to generate hyper-realistic and artificial images. It is also highly ethical, legal, and social because it has massive potential in the field of innovation in the sphere of film p…
Ai in Managing Online Art Auctions
The traditional systems of auction that used to rely on manual skills and face-to-face interaction have shifted to hybrid and fully digital frameworks that use AI to become efficient and accurate. The algorithms used in machine learning are Decision Tree Regression and Support Vector Regression (SVR) to determine the optimal pricing basing on the past sales records, reputation of the artist and the market. Computer vision tools can help in recogn…
Neural Style Transfer as an Artistic Methodology
Neural Style Transfer (NST) has become a disruptive artistic process bridging the gap between computational intelligence and artistic expression, allowing the combination of content structures with styles inspired by a wide range of visual art pieces. The given research examines NST not as a technical algorithm, but as a modern aesthetic practice that widens the scope of digital art-making. The paper initially reviews the basic and advanced metho…
No prominent works on this page.
Deepfake Art Threat or Innovation in Digital Creativity
The boundaries of the digital creativity have been re-established with the introduction of the deepfake technology, which is facilitated by advanced artificial intelligence and machine learning algorithms. Deepfake art is an act of creating and altering images and audio to generate hyper-realistic and artificial images. It is also highly ethical, legal, and social because it has massive potential in the field of innovation in the sphere of film p…
Ai in Managing Online Art Auctions
The traditional systems of auction that used to rely on manual skills and face-to-face interaction have shifted to hybrid and fully digital frameworks that use AI to become efficient and accurate. The algorithms used in machine learning are Decision Tree Regression and Support Vector Regression (SVR) to determine the optimal pricing basing on the past sales records, reputation of the artist and the market. Computer vision tools can help in recogn…
Neural Style Transfer as an Artistic Methodology
Neural Style Transfer (NST) has become a disruptive artistic process bridging the gap between computational intelligence and artistic expression, allowing the combination of content structures with styles inspired by a wide range of visual art pieces. The given research examines NST not as a technical algorithm, but as a modern aesthetic practice that widens the scope of digital art-making. The paper initially reviews the basic and advanced metho…
Exploring Algorithmic Creativity and Its Influence on Human–machine Co-Created Visual Artworks
Algorithmic creativity has become a paradigm shift in digital art in the modern world, facilitating new interactions between intelligent computational systems and human artists. This research examines how the use of algorithmic processes in the development of artworks by humans and machines impacts human-computer co-created visual art and evaluates the impact of artificial intelligence in creative production. The study analyzes theoretical approa…
Aesthetic Perception and Analysis (3 works) · Art, Technology, and Culture (2 works) · Creativity (2 works) · Music Technology and Sound Studies (2 works) · Art History and Market Analysis (1 work) · Bidding (1 work) · Common value auction (1 work) · Computational Creativity (1 work) · Computational model (1 work) · Computer art (1 work)