NTIRE 2024 challenge on short-form UGC video quality assessment: Methods and results
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality
Assessment (S-UGC VQA) where various excellent solutions are submitted and evaluated …
Assessment (S-UGC VQA) where various excellent solutions are submitted and evaluated …
Sf-iqa: Quality and similarity integration for ai generated image quality assessment
In recent years the rapid development of Artificial Intelligence (AI) has facilitated the
widespread use of AI-Generated Images (AIGIs) a subset of Artificial Intelligence Generated …
widespread use of AI-Generated Images (AIGIs) a subset of Artificial Intelligence Generated …
Aigc-vqa: A holistic perception metric for aigc video quality assessment
With the development of generative models such as the diffusion model and auto-regressive
model AI-generated content (AIGC) is experiencing an explosive growth. Moreover existing …
model AI-generated content (AIGC) is experiencing an explosive growth. Moreover existing …
Freqalign: Excavating perception-oriented transferability for blind image quality assessment from a frequency perspective
Blind Image Quality Assessment (BIQA) is susceptible to poor transferability when the
distribution shift occurs, eg, from synthesis degradation to authentic degradation. To mitigate …
distribution shift occurs, eg, from synthesis degradation to authentic degradation. To mitigate …
Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment
The annotation of blind image quality assessment (BIQA) is labor-intensive and time-
consuming especially for authentic images. Training on synthetic data is expected to be …
consuming especially for authentic images. Training on synthetic data is expected to be …
Semantic-aware message broadcasting for efficient unsupervised domain adaptation
Vision transformer has demonstrated great potential in abundant vision tasks. However, it
also inevitably suffers from poor generalization capability when the distribution shift occurs …
also inevitably suffers from poor generalization capability when the distribution shift occurs …
From Images to Point Clouds: An Efficient Solution for Cross-media Blind Quality Assessment without Annotated Training
We present a novel quality assessment method which can predict the perceptual quality of
point clouds from new scenes without available annotations by leveraging the rich prior …
point clouds from new scenes without available annotations by leveraging the rich prior …
Q-Mamba: On First Exploration of Vision Mamba for Image Quality Assessment
In this work, we take the first exploration of the recently popular foundation model, ie, State
Space Model/Mamba, in image quality assessment, aiming at observing and excavating the …
Space Model/Mamba, in image quality assessment, aiming at observing and excavating the …