EthanLiang99 / EvLight

The source code for "Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach" (CVPR24 Oral)
MIT License
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Details about the experiment #4

Closed Shecyy closed 3 weeks ago

Shecyy commented 4 weeks ago

Hello, thank you so much for sharing these two datasets. According to your paper, I found that the ablation experiment was performed on the SDE-in dataset. I would like to ask how you obtained the experimental results in Table 2. Do you train on the SDE-in training datasetset and SDE-out training datasetset separately, and then inference separately? Or do you train directly on all the training datasetsets of SDE and then inference separately?

The same problem described above exists with respect to the SDSD dataset.

image

EthanLiang99 commented 3 weeks ago

We trained and inferecned on the corresponsidng datasets respetively, which is similar to the previous work SNR-Aware Low-light Image Enhancement and Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement.

Shecyy commented 3 weeks ago

Thank you for your clarification.