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FastLLVE: Real-Time Low-Light Video Enhancement with Intensity-Aware Lookup Table
Experimental results on benchmark datasets demonstrate that our method achieves the State-Of-The-Art (SOTA) performance in terms of both image quality and inter-frame brightness consistency.
GitHub Link
The GitHub link is https://github.com/wenhao-li-777/fastllveIntroduce
Summary The GitHub repository "FastLLVE" presents a real-time low-light video enhancement technique using an intensity-aware lookup table. This technique was presented at ACM MM 2023 and aims to improve the quality of low-light videos in real-time. The repository contains the implementation details of the method for those interested in exploring or utilizing the approach. Experimental results on benchmark datasets demonstrate that our method achieves the State-Of-The-Art (SOTA) performance in terms of both image quality and inter-frame brightness consistency.Content
FastLLVE: Real-Time Low-Light Video Enhancement with Intensity-Aware Lookup Table (ACM MM 2023)
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