Deep portrait quality assessment. a NTIRE 2024 challenge survey
This paper reviews the NTIRE 2024 Portrait Quality Assessment Challenge, highlighting the
proposed solutions and results. This challenge aims to obtain an efficient deep neural …
proposed solutions and results. This challenge aims to obtain an efficient deep neural …
Vbench: Comprehensive benchmark suite for video generative models
Video generation has witnessed significant advancements yet evaluating these models
remains a challenge. A comprehensive evaluation benchmark for video generation is …
remains a challenge. A comprehensive evaluation benchmark for video generation is …
AIS 2024 challenge on video quality assessment of user-generated content: Methods and results
This paper reviews the AIS 2024 Video Quality Assessment (VQA) Challenge focused on
User-Generated Content (UGC). The aim of this challenge is to gather deep learning-based …
User-Generated Content (UGC). The aim of this challenge is to gather deep learning-based …
Q-instruct: Improving low-level visual abilities for multi-modality foundation models
Multi-modality large language models (MLLMs) as represented by GPT-4V have introduced
a paradigm shift for visual perception and understanding tasks that a variety of abilities can …
a paradigm shift for visual perception and understanding tasks that a variety of abilities can …
Exploring video quality assessment on user generated contents from aesthetic and technical perspectives
The rapid increase in user-generated-content (UGC) videos calls for the development of
effective video quality assessment (VQA) algorithms. However, the objective of the UGC …
effective video quality assessment (VQA) algorithms. However, the objective of the UGC …
NTIRE 2023 quality assessment of video enhancement challenge
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement
Challenge, which will be held in conjunction with the New Trends in Image Restoration and …
Challenge, which will be held in conjunction with the New Trends in Image Restoration and …
Vdpve: Vqa dataset for perceptual video enhancement
Recently, many video enhancement methods have been proposed to improve video quality
from different aspects such as color, brightness, contrast, and stability. Therefore, how to …
from different aspects such as color, brightness, contrast, and stability. Therefore, how to …
Zoom-vqa: Patches, frames and clips integration for video quality assessment
Video quality assessment (VQA) aims to simulate the human perception of video quality,
which is influenced by factors ranging from low-level color and texture details to high-level …
which is influenced by factors ranging from low-level color and texture details to high-level …
Towards explainable in-the-wild video quality assessment: a database and a language-prompted approach
The proliferation of in-the-wild videos has greatly expanded the Video Quality Assessment
(VQA) problem. Unlike early definitions that usually focus on limited distortion types, VQA on …
(VQA) problem. Unlike early definitions that usually focus on limited distortion types, VQA on …
Neighbourhood representative sampling for efficient end-to-end video quality assessment
The increased resolution of real-world videos presents a dilemma between efficiency and
accuracy for deep Video Quality Assessment (VQA). On the one hand, keeping the original …
accuracy for deep Video Quality Assessment (VQA). On the one hand, keeping the original …