1
Leveraging Color Naming for Image Enhancement
利用颜色命名规则，解决传统深度图像增强中可解释性差与参数化不足的两大痛点。
arXiv:2607.08185v1 Announce Type: new Abstract: Enhancing images to make them visually appealing is a persistent challenge in computer vision. Many de…
2
Overlapped Wavelet Diffusion for Low-Light Image Enhancement
提出重叠小波扩散模型，巧用频域分解提升低光图像增强效果与细节保留。
arXiv:2606.10280v1 Announce Type: cross Abstract: In this study, we propose an overlapped wavelet diffusion framework for Low-Light Image Enhancement …
3
Are these enhanced AI images on NYT?
质疑纽约时报图片是否经AI增强？一场关于媒体真实性与技术边界的讨论。
Article URL: https://www.nytimes.com/2026/06/09/us/tradwife-ballerina-farm-utah.html Comments URL: https://news.ycombinator.com/item?id=48466100 Point…
4
InterLight: Leveraging Intrinsic Illumination Priors for Low-Light Image Enhancement
IJCAI 2026 接收，利用内在光照先验突破低光图像增强，效果显著。
arXiv:2605.19982v1 Announce Type: new Abstract: Low-Light Image Enhancement (LLIE) has long been a challenging problem in low-level vision, as insuffi…
5
Low Light Image Enhancement Challenge at NTIRE 2026
NTIRE 2026低光图像增强挑战赛最新论文，汇总前沿算法与评测结果，是CV领域研究者必读的学术干货。
arXiv:2604.17669v2 Announce Type: replace Abstract: This paper presents a comprehensive review of the NTIRE 2026 Low Light Image Enhancement Challenge…