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Found 8 papers, 5 papers with code
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities
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 realistic images and videos based on user prompts (text-to-image, image-to-image, and image-to-video).
AIM 2024 Challenge on UHD Blind Photo Quality Assessment
By pushing the boundaries of NR-IQA for high-resolution photos, the UHD-IQA Challenge aims to stimulate the development of practical models that can keep pace with the rapidly evolving landscape of digital photography.
Foundation Models Boost Low-Level Perceptual Similarity Metrics
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 computed as a distance measure between features extracted from a pretrained CNN or more recently, a Transformer network.
Full reference image quality assessment
Full-Reference Image Quality Assessment
LAR-IQA: A Lightweight, Accurate, and Robust No-Reference Image Quality Assessment Model
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
No-Reference Image Quality Assessment (NR-IQA) remains a challenging task due to the diversity of distortions and the lack of large annotated datasets.
AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results
The performance of the top-5 submissions is reviewed and provided here as a survey of diverse deep models for efficient video quality assessment of user-generated content.
Bias-Aware Loss for Training Image and Speech Quality Prediction Models from Multiple Datasets
The ground truth used for training image, video, or speech quality prediction models is based on the Mean Opinion Scores (MOS) obtained from subjective experiments.
Towards Deep Learning Methods for Quality Assessment of Computer-Generated Imagery
Video gaming streaming services are growing rapidly due to new services such as passive video streaming, e. g. Twitch. tv, and cloud gaming, e. g. Nvidia Geforce Now.
