Descriptive Image Quality Assessment in the Wild
With the rapid advancement of Vision Language Models (VLMs), VLM-based Image Quality
Assessment (IQA) seeks to describe image quality linguistically to align with human …
Assessment (IQA) seeks to describe image quality linguistically to align with human …
Learning A Low-Level Vision Generalist via Visual Task Prompt
Building a unified model for general low-level vision tasks holds significant research and
practical value. Current methods encounter several critical issues. Multi-task restoration …
practical value. Current methods encounter several critical issues. Multi-task restoration …
Interpreting Low-level Vision Models with Causal Effect Maps
Deep neural networks have significantly improved the performance of low-level vision tasks
but also increased the difficulty of interpretability. A deep understanding of deep models is …
but also increased the difficulty of interpretability. A deep understanding of deep models is …
Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition
In real-world scenarios, due to a series of image degradations, obtaining high-quality, clear
content photos is challenging. While significant progress has been made in synthesizing …
content photos is challenging. While significant progress has been made in synthesizing …
Learning to See Low-Light Images via Feature Domain Adaptation
Raw low light image enhancement (LLIE) has achieved much better performance than the
sRGB domain enhancement methods due to the merits of raw data. However, the ambiguity …
sRGB domain enhancement methods due to the merits of raw data. However, the ambiguity …