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Found 5 papers, 1 papers with code
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results
This paper presents a review for the NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement.
InternVQA: Advancing Compressed Video Quality Assessment with Distilling Large Foundation Model
Video quality assessment tasks rely heavily on the rich features required for video understanding, such as semantic information, texture, and temporal motion.
Q-Mamba: On First Exploration of Vision Mamba for Image Quality Assessment
Consequently, we propose Q-Mamba by revisiting and adapting the Mamba model for three crucial IQA tasks, i. e., task-specific, universal, and transferable IQA, which reveals that the Mamba model has obvious advantages compared with existing foundational models, e. g., Swin Transformer, ViT, and CNNs, in terms of perception and computational cost for IQA.
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge
A total of 196 participants have registered in the video track.
Video Quality Assessment Based on Swin TransformerV2 and Coarse to Fine Strategy
Furthermore, a temporal transformer is utilized for spatiotemporal feature fusion across the video.
