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cs.CV2025
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…
cs.CV2025
Perceptual Classifiers: Detecting Generative Images using Perceptual Features
Krishna Srikar Durbha, Asvin Kumar Venkataramanan, Rajesh Sureddi +1
Image Quality Assessment (IQA) models are employed in many practical image and video processing pipelines to reduce storage, minimize transmission costs, and improve the Quality of…
eess.IV2025
TRIQA: Image Quality Assessment by Contrastive Pretraining on Ordered Distortion Triplets
Rajesh Sureddi, Saman Zadtootaghaj, Nabajeet Barman +1
Image Quality Assessment (IQA) models aim to predict perceptual image quality in alignment with human judgments. No-Reference (NR) IQA remains particularly challenging due to the a…