Pooja Srishti
Biographic Data
| ID | 8967620 |
|---|---|
| NAME | Pooja Srishti |
| GIVEN NAMES | Pooja |
| FAMILY NAME | Srishti |
| SIGNATURE | SRISHTI P |
| AFFILIATIONS | Noida International University |
| VERIFIED | No |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The Role of Generative Algorithms in Abstract Sculpture Creation
Increasingly, the effects of computational exploration of form, structure and materiality are being felt even in the realms of contemporary abstract sculpture due to the availability of generative algorithms that allow exploration of form, structure and materiality to levels previously impossible in the realm of manual sculptural practice. In this paper, the authors explore the contribution of generative algorithms to the creation of abstract scu…
Deep Learning-Based Camera Settings Optimization
In this paper, a deep learning framework of automatic optimization of camera settings is described and can be used to enhance the quality of images and videos of various real-world scenes. Conventional camera control is based on manual-grasped heuristics or auto modes which tend to malfunction when subject to challenging lighting, motion and texture changes. To overcome these limitations, the proposed method develops camera parameter tuning as a …
Intelligent Curation of Art Biennales and Exhibitions
The study is a detailed proposal of smart curation of art biennials and exhibitions, a combination of artificial intelligence (AI) and human curatorial practices. The paper suggests the method of a multilayered system that integrates multimodal data collection, semantic reasoning, alongside optimization through reinforcement learning as alternative approaches to increase thematic coherence, spatial design, and audience engagement. CNN types of gr…
Predictive Analytics for Folk Art Material Requirements
Predictive analytics is a more rational direction of converting material planning to the old folk art manufacturing systems. The use of experiential estimation tends to create shortages in materials, excessive stocking and unviable use of resources further enhanced by seasons and change in demand in the market. To overcome such difficulties, a hybrid forecasting model was created that would have incorporated ARIMA, XGBoost, and LSTM models to for…
Reinventing Black-and-White Photography With Ai Filters
Reinvention of black-and-white (B&W) photography by artificial intelligence (AI) is an example of the paradigm shift in the concept of tone expression, texture representation, and emotion in monochrome photography. The classical B and W processes, determined by the chemistry of films and optical exposure, placed more importance on the tonal gradation, the shadow-highlight relationship, and the contrast relationship. These artistic nuances, howeve…
Ai-Based Learning Systems for Photography Students
The advent of Artificial Intelligence (AI) in the education industry has transformed the learning process, especially in the creative profession like photography. This paper discusses the creation and effectiveness of AI-powered learning platforms that are specific to photography students and highlight their promise to increase creativity, technical skills, and personalized education. Through clever algorithms, they offer real-time feedback, cust…
NLP Models for Artistic Statement Generation
In this paper we propose a multimodal vision-language multimodality detransformer framework for coherent, expressive, and visually grounded artistic statement generation, which takes advantage of multimodal vision- and language modeling on top of a strong transformer-based text generation network. The proposed system is comprised of a visual encoder to interpret compositional and stylistic aspects of an artwork, a fine-tuned transformer decoder t…
Integrating Ar and Ai for Immersive Sculpture Exhibitions
The paper addresses the issue of combining Augmented Reality (AR) and Artificial Intelligence (AI) to create the experience of thicker and adaptive sculpture display that will change the interactions of the audience in the digital era. The proposed scheme outlines how AR technologies can be employed to add to physical sculptures some dynamic and interactive depth of information and sensory enhancement and AI will personalize these experiences to …
Gamified Learning of Visual Concepts Using Ai
This paper introduces a gamified learning model based on AI and aimed at increasing the visual concept mastery with the use of adaptive instructions, real-time feedback, and motivational elements of a game. The classical methods of visual learning usually presuppose the unrestricted use of a fixed material and less personalization that leads to lower levels of involvement and poor mastering. The proposed system will overcome these shortcomings by…
No prominent works on this page.
Intelligent Curation of Art Biennales and Exhibitions
The study is a detailed proposal of smart curation of art biennials and exhibitions, a combination of artificial intelligence (AI) and human curatorial practices. The paper suggests the method of a multilayered system that integrates multimodal data collection, semantic reasoning, alongside optimization through reinforcement learning as alternative approaches to increase thematic coherence, spatial design, and audience engagement. CNN types of gr…
Predictive Analytics for Folk Art Material Requirements
Predictive analytics is a more rational direction of converting material planning to the old folk art manufacturing systems. The use of experiential estimation tends to create shortages in materials, excessive stocking and unviable use of resources further enhanced by seasons and change in demand in the market. To overcome such difficulties, a hybrid forecasting model was created that would have incorporated ARIMA, XGBoost, and LSTM models to for…
Reinventing Black-and-White Photography With Ai Filters
Reinvention of black-and-white (B&W) photography by artificial intelligence (AI) is an example of the paradigm shift in the concept of tone expression, texture representation, and emotion in monochrome photography. The classical B and W processes, determined by the chemistry of films and optical exposure, placed more importance on the tonal gradation, the shadow-highlight relationship, and the contrast relationship. These artistic nuances, howeve…
Ai-Based Learning Systems for Photography Students
The advent of Artificial Intelligence (AI) in the education industry has transformed the learning process, especially in the creative profession like photography. This paper discusses the creation and effectiveness of AI-powered learning platforms that are specific to photography students and highlight their promise to increase creativity, technical skills, and personalized education. Through clever algorithms, they offer real-time feedback, cust…
NLP Models for Artistic Statement Generation
In this paper we propose a multimodal vision-language multimodality detransformer framework for coherent, expressive, and visually grounded artistic statement generation, which takes advantage of multimodal vision- and language modeling on top of a strong transformer-based text generation network. The proposed system is comprised of a visual encoder to interpret compositional and stylistic aspects of an artwork, a fine-tuned transformer decoder t…
Integrating Ar and Ai for Immersive Sculpture Exhibitions
The paper addresses the issue of combining Augmented Reality (AR) and Artificial Intelligence (AI) to create the experience of thicker and adaptive sculpture display that will change the interactions of the audience in the digital era. The proposed scheme outlines how AR technologies can be employed to add to physical sculptures some dynamic and interactive depth of information and sensory enhancement and AI will personalize these experiences to …
Gamified Learning of Visual Concepts Using Ai
This paper introduces a gamified learning model based on AI and aimed at increasing the visual concept mastery with the use of adaptive instructions, real-time feedback, and motivational elements of a game. The classical methods of visual learning usually presuppose the unrestricted use of a fixed material and less personalization that leads to lower levels of involvement and poor mastering. The proposed system will overcome these shortcomings by…
The Role of Generative Algorithms in Abstract Sculpture Creation
Increasingly, the effects of computational exploration of form, structure and materiality are being felt even in the realms of contemporary abstract sculpture due to the availability of generative algorithms that allow exploration of form, structure and materiality to levels previously impossible in the realm of manual sculptural practice. In this paper, the authors explore the contribution of generative algorithms to the creation of abstract scu…
Deep Learning-Based Camera Settings Optimization
In this paper, a deep learning framework of automatic optimization of camera settings is described and can be used to enhance the quality of images and videos of various real-world scenes. Conventional camera control is based on manual-grasped heuristics or auto modes which tend to malfunction when subject to challenging lighting, motion and texture changes. To overcome these limitations, the proposed method develops camera parameter tuning as a …
Aesthetic Perception and Analysis (4 works) · Augmented Reality Applications (2 works) · Convolutional neural network (2 works) · Exhibition (2 works) · Generative Adversarial Networks and Image Synthesis (2 works) · Generative grammar (2 works) · Image Enhancement Techniques (2 works) · Photography (2 works) · Sculpture (2 works) · Thematic analysis (2 works)