May 30, 2023 · We propose a structure-preserving image smoothing network, which uses a lightweight edge map extractor module to extract edge information to ...

May 30, 2023 · We propose a structure-preserving image smoothing network, which consists of a main interpreter (MI) and an edge map extractor (EME).

Image smoothing is a fundamental low‐level vision task that aims to preserve salient structures of an image while removing insignificant details. Deep learning ...

Image smoothing is an important processing operation that highlights low-frequency structural parts of an image and suppresses the noise and high-frequency ...

Fingerprint. Dive into the research topics of 'Structure-preserving image smoothing via contrastive learning'. Together they form a unique fingerprint.

This paper develops a deep network in the light of flexibility in controlling, structure preservation in smoothing, and efficiency.

Mar 27, 2023 · We propose a novel framework for few-shot microscopy image denoising. Our approach combines a generative adversarial network (GAN) trained via contrastive ...

Missing: contrastive learning.

Missing: smoothing | Show results with:smoothing

Sep 2, 2022 · To learn a consistent representation, we uncover the local pairwise relations between nodes via a contrastive learning mechanism. Concretely ...