Search Results for author: Jie-En Yao

Found 2 papers, 1 papers with code

Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution

no code implementations • 9 Mar 2023 • Jie-En Yao, Li-Yuan Tsao, Yi-Chen Lo, Roy Tseng, Chia-Che Chang, Chun-Yi Lee

Flow-based methods have demonstrated promising results in addressing the ill-posed nature of super-resolution (SR) by learning the distribution of high-resolution (HR) images with the normalizing flow.

Image Super-Resolution

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ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA

1 code implementation • 16 Nov 2022 • Ting-Hsuan Liao, Huang-Ru Liao, Shan-Ya Yang, Jie-En Yao, Li-Yuan Tsao, Hsu-Shen Liu, Bo-Wun Cheng, Chen-Hao Chao, Chia-Che Chang, Yi-Chen Lo, Chun-Yi Lee

Despite their effectiveness, using depth as domain invariant information in UDA tasks may lead to multiple issues, such as excessively high extraction costs and difficulties in achieving a reliable prediction quality.

Ranked #1 on Synthetic-to-Real Translation on SYNTHIA-to-Cityscapes Labels

Semantic Segmentation Synthetic-to-Real Translation +1

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