Yunkui Pang — accepted AI-conference papers

2024

Towards Architecture-Agnostic Untrained Networks Priors for Image Reconstruction with Frequency Regularization

Yilin Liu, Yunkui Pang, Jiang Li, Yong Chen, Pew-Thian Yap*

ECCV 2024poster

"Untrained networks inspired by deep image priors have shown promising capabilities in recovering high-quality images from noisy or partial measurements without requiring training sets. Their success is widely attributed to implicit regularization due to the spectral bias of suitable network archite…

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2023

The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior

Yilin Liu, Jiang Li, Yunkui Pang, Dong Nie, Pew-Thian Yap

ICCV 2023poster

Deep Image Prior (DIP) shows that some network architectures inherently tend towards generating smooth images while resisting noise, a phenomenon known as spectral bias. Image denoising is a natural application of this property. Although denoising with DIP mitigates the need for large training sets,…

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