61 citations · 352 across the 38 of their papers we have counts for
6 papers · 1 filter
MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion
Ting Jiang, Chuan Wang, Xinpeng Li +3
In this paper, we introduce a new approach for high-quality multi-exposure image fusion (MEF). We show that the fusion weights of an exposure can be encoded into a 1D lookup table…
Supervised Homography Learning with Realistic Dataset Generation
Hai Jiang, Haipeng Li, Songchen Han +3
In this paper, we propose an iterative framework, which consists of two phases: a generation phase and a training phase, to generate realistic training data and yield a supervised…
SAM-IQA: Can Segment Anything Boost Image Quality Assessment?
Xinpeng Li, Ting Jiang, Haoqiang Fan +1
Image Quality Assessment (IQA) is a challenging task that requires training on massive datasets to achieve accurate predictions. However, due to the lack of IQA data, deep learning…
Low-Light Image Enhancement with Wavelet-based Diffusion Models
Hai Jiang, Ao Luo, Songchen Han +2
Diffusion models have achieved promising results in image restoration tasks, yet suffer from time-consuming, excessive computational resource consumption, and unstable restoration.…
Realistic Noise Synthesis with Diffusion Models
Qi Wu, Mingyan Han, Ting Jiang +5
Deep denoising models require extensive real-world training data, which is challenging to acquire. Current noise synthesis techniques struggle to accurately model complex noise dis…
DIPNet: Efficiency Distillation and Iterative Pruning for Image Super-Resolution
Lei Yu, Xinpeng Li, Youwei Li +4
Efficient deep learning-based approaches have achieved remarkable performance in single image super-resolution. However, recent studies on efficient super-resolution have mainly fo…