7 papers
VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance
Mohammad Reza Taesiri, Abhijay Ghildyal, Saman Zadtootaghaj +2
With video games now generating the highest revenues in the entertainment industry, optimizing game development workflows has become essential for the sector's sustained growth. Re…
Non-Aligned Reference Image Quality Assessment for Novel View Synthesis
Abhijay Ghildyal, Rajesh Sureddi, Nabajeet Barman +2
Evaluating the perceptual quality of Novel View Synthesis (NVS) images remains a key challenge, particularly in the absence of pixel-aligned ground truth references. Full-Reference…
WP-CLIP: Leveraging CLIP to Predict Wölfflin's Principles in Visual Art
Abhijay Ghildyal, Li-Yun Wang, Feng Liu
Wölfflin's five principles offer a structured approach to analyzing stylistic variations for formal analysis. However, no existing metric effectively predicts all five principles…
Foundation Models Boost Low-Level Perceptual Similarity Metrics
Abhijay Ghildyal, Nabajeet Barman, Saman Zadtootaghaj
For full-reference image quality assessment (FR-IQA) using deep-learning approaches, the perceptual similarity score between a distorted image and a reference image is typically co…
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities
Abhijay Ghildyal, Yuanhan Chen, Saman Zadtootaghaj +2
The advent of AI has influenced many aspects of human life, from self-driving cars and intelligent chatbots to text-based image and video generation models capable of creating real…
LAR-IQA: A Lightweight, Accurate, and Robust No-Reference Image Quality Assessment Model
Nasim Jamshidi Avanaki, Abhijay Ghildyal, Nabajeet Barman +1
Recent advancements in the field of No-Reference Image Quality Assessment (NR-IQA) using deep learning techniques demonstrate high performance across multiple open-source datasets.…