222 citations · 604 across the 28 of their papers we have counts for
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eess.IV2019★ 2 cited
Texture Hallucination for Large-Factor Painting Super-Resolution
Yulun Zhang, Zhifei Zhang, Stephen DiVerdi +3
We aim to super-resolve digital paintings, synthesizing realistic details from high-resolution reference painting materials for very large scaling factors (e.g., 8X, 16X). However,…
eess.IV2019★ 1 cited
FCN: Fully Channel-Concatenated Network for Single Image Super-Resolution
Xiaole Zhao, Ying Liao, Tian He +3
Most current image super-resolution (SR) methods based on convolutional neural networks (CNNs) use residual learning in network structural design, which favors to effective back pr…