Towards open-ended visual quality comparison
Comparative settings (eg. pairwise choice, listwise ranking) have been adopted by a wide
range of subjective studies for image quality assessment (IQA), as it inherently standardizes …
range of subjective studies for image quality assessment (IQA), as it inherently standardizes …
Q-bench: A benchmark for general-purpose foundation models on low-level vision
The rapid evolution of Multi-modality Large Language Models (MLLMs) has catalyzed a shift
in computer vision from specialized models to general-purpose foundation models …
in computer vision from specialized models to general-purpose foundation models …
1000 fps hdr video with a spike-rgb hybrid camera
Capturing high frame rate and high dynamic range (HFR&HDR) color videos in high-speed
scenes with conventional frame-based cameras is very challenging. The increasing frame …
scenes with conventional frame-based cameras is very challenging. The increasing frame …
From distortion manifold to perceptual quality: a data efficient blind image quality assessment approach
Though current no-reference image quality assessment (NR-IQA) approaches have
achieved impressive performance gain thanks to deep learning techniques, it is claimed that …
achieved impressive performance gain thanks to deep learning techniques, it is claimed that …
A benchmark for multi-modal foundation models on low-level vision: from single images to pairs
The rapid development of Multi-modality Large Language Models (MLLMs) has navigated a
paradigm shift in computer vision, moving towards versatile foundational models. However …
paradigm shift in computer vision, moving towards versatile foundational models. However …
Blemish-aware and Progressive Face Retouching with Limited Paired Data
Face retouching aims to remove facial blemishes, while at the same time maintaining the
textual details of a given input image. The main challenge lies in distinguishing blemishes …
textual details of a given input image. The main challenge lies in distinguishing blemishes …
Non-Uniform Exposure Imaging via Neuromorphic Shutter Control
By leveraging the blur-noise trade-off, imaging with non-uniform exposures largely extends
the image acquisition flexibility in harsh environments. However, the limitation of …
the image acquisition flexibility in harsh environments. However, the limitation of …
Scale Contrastive Learning with Selective Attentions for Blind Image Quality Assessment
Z Huang, X Li, B Fu, X Chu, K Li, Y Shen… - arXiv preprint arXiv …, 2024 - arxiv.org
Blind image quality assessment (BIQA) serves as a fundamental task in computer vision, yet
it often fails to consistently align with human subjective perception. Recent advances show …
it often fails to consistently align with human subjective perception. Recent advances show …
Integrated Recognition Assistant Framework Based on Deep Learning for Autonomous Driving: Human-Like Restoring Damaged Road Sign Information
Unpredictable situations frequently occur in real driving environments, and it is often difficult
to recognize road signs. In this case, autonomous vehicles (AVs) have a limited ability to …
to recognize road signs. In this case, autonomous vehicles (AVs) have a limited ability to …
Exploring the Use of Machine Learning Techniques for Enhancing Real-Time Data Access
S Rampal, HS Shreenidhi… - … on Smart Generation …, 2023 - ieeexplore.ieee.org
Actual-time statistics to date has updated, increasingly vital as the quantity of virtual
information maintains updated growth. Effective choice-making depends on the capability to …
information maintains updated growth. Effective choice-making depends on the capability to …