46 citations · 86 across the 9 of their papers we have counts for
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eess.IV2019★ 7 cited
Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement
Zhiwu Huang, Danda Pani Paudel, Guanju Li +3
This paper introduces a divide-and-conquer inspired adversarial learning (DACAL) approach for photo enhancement. The key idea is to decompose the photo enhancement process into hie…
cs.CV2019★ 2 cited
Sliced Wasserstein Generative Models
Jiqing Wu, Zhiwu Huang, Dinesh Acharya +4
In generative modeling, the Wasserstein distance (WD) has emerged as a useful metric to measure the discrepancy between generated and real data distributions. Unfortunately, it is…