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NTIRE 2024 quality assessment of AI-generated content challenge
This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content
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 …
Aigiqa-20k: A large database for ai-generated image quality assessment
With the rapid advancements in AI-Generated Content (AIGC) AI-Generated Images (AIGIs)
have been widely applied in entertainment education and social media. However due to the …
have been widely applied in entertainment education and social media. However due to the …
Quality assessment in the era of large models: A survey
Quality assessment, which evaluates the visual quality level of multimedia experiences, has
garnered significant attention from researchers and has evolved substantially through …
garnered significant attention from researchers and has evolved substantially through …
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 …
Subjective-aligned dataset and metric for text-to-video quality assessment
With the rapid development of generative models, AI-Generated Content (AIGC) has
exponentially increased in daily lives. Among them, Text-to-Video (T2V) generation has …
exponentially increased in daily lives. Among them, Text-to-Video (T2V) generation has …
Misc: Ultra-low bitrate image semantic compression driven by large multimodal model
With the evolution of storage and communication protocols, ultra-low bitrate image
compression has become a highly demanding topic. However, all existing compression …
compression has become a highly demanding topic. However, all existing compression …
Large multi-modality model assisted ai-generated image quality assessment
Traditional deep neural network (DNN)-based image quality assessment (IQA) models
leverage convolutional neural networks (CNN) or Transformer to learn the quality-aware …
leverage convolutional neural networks (CNN) or Transformer to learn the quality-aware …
Light-VQA+: A Video Quality Assessment Model for Exposure Correction with Vision-Language Guidance
Recently, User-Generated Content (UGC) videos have gained popularity in our daily lives.
However, UGC videos often suffer from poor exposure due to the limitations of photographic …
However, UGC videos often suffer from poor exposure due to the limitations of photographic …
G-refine: A general quality refiner for text-to-image generation
With the evolution of Text-to-Image (T2I) models, the quality defects of AI-Generated Images
(AIGIs) pose a significant barrier to their widespread adoption. In terms of both perception …
(AIGIs) pose a significant barrier to their widespread adoption. In terms of both perception …
Chest CT-IQA: A multi-task model for chest CT image quality assessment and classification
In recent years, especially during the COVID-19 pandemic, a large number of Computerized
Tomography (CT) images are produced every day for the purpose of inspecting lung …
Tomography (CT) images are produced every day for the purpose of inspecting lung …