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 …
Liveportrait: Efficient portrait animation with stitching and retargeting control
Portrait Animation aims to synthesize a lifelike video from a single source image, using it as
an appearance reference, with motion (ie, facial expressions and head pose) derived from a …
an appearance reference, with motion (ie, facial expressions and head pose) derived from a …
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 …
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 …
Kvq: Kwai video quality assessment for short-form videos
Short-form UGC video platforms like Kwai and TikTok have been an emerging and
irreplaceable mainstream media form thriving on user-friendly engagement and …
irreplaceable mainstream media form thriving on user-friendly engagement and …
Xpsr: Cross-modal priors for diffusion-based image super-resolution
Diffusion-based methods, endowed with a formidable generative prior, have received
increasing attention in Image Super-Resolution (ISR) recently. However, as low-resolution …
increasing attention in Image Super-Resolution (ISR) recently. However, as low-resolution …
Promptiqa: Boosting the performance and generalization for no-reference image quality assessment via prompts
Due to the diversity of assessment requirements in various application scenarios for the IQA
task, existing IQA methods struggle to directly adapt to these varied requirements after …
task, existing IQA methods struggle to directly adapt to these varied requirements after …
Arniqa: Learning distortion manifold for image quality assessment
Abstract No-Reference Image Quality Assessment (NR-IQA) aims to develop methods to
measure image quality in alignment with human perception without the need for a high …
measure image quality in alignment with human perception without the need for a high …
Opinion unaware image quality assessment via adversarial convolutional variational autoencoder
Image quality assessment is a challenging computer vision task due to the lack of
corresponding reference (pristine) images. This no-reference bottleneck has been tackled …
corresponding reference (pristine) images. This no-reference bottleneck has been tackled …
Ada-dqa: Adaptive diverse quality-aware feature acquisition for video quality assessment
Video quality assessment (VQA) has attracted growing attention in recent years. While the
great expense of annotating large-scale VQA datasets has become the main obstacle for …
great expense of annotating large-scale VQA datasets has become the main obstacle for …