2 citations · 7 across the 8 of their papers we have counts for
10 papers
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 i…
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…
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.…
MSLIQA: Enhancing Learning Representations for Image Quality Assessment through Multi-Scale Learning
Nasim Jamshidi Avanaki, Abhijay Ghildyal, Nabajeet Barman +1
No-Reference Image Quality Assessment (NR-IQA) remains a challenging task due to the diversity of distortions and the lack of large annotated datasets. Many studies have attempted…
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…
Attacking Perceptual Similarity Metrics
Abhijay Ghildyal, Feng Liu
Perceptual similarity metrics have progressively become more correlated with human judgments on perceptual similarity; however, despite recent advances, the addition of an impercep…
A Perceptual Quality Metric for Video Frame Interpolation
Qiqi Hou, Abhijay Ghildyal, Feng Liu
Research on video frame interpolation has made significant progress in recent years. However, existing methods mostly use off-the-shelf metrics to measure the quality of interpolat…
Shift-tolerant Perceptual Similarity Metric
Abhijay Ghildyal, Feng Liu
Existing perceptual similarity metrics assume an image and its reference are well aligned. As a result, these metrics are often sensitive to a small alignment error that is imperce…