Image Reconstruction

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Stochastic ADMM Algorithm for Large-Scale Ptychography with Weighted Total Variation

Introducing a novel stochastic ADMM algorithm for large-scale ptychography with weighted total variation to enhance image reconstruction quality.

BAGS: Blur Agnostic Gaussian Splatting for Image Reconstruction

BAGS introduces Blur Agnostic Gaussian Splatting to address image blur and improve scene reconstruction quality.

ICNN을 사용한 변형 이미지 복원을 위한 원시-듀얼 알고리즘

본 논문에서는 입력-볼록 신경망(ICNN)으로 매개변수화된 정규화기를 사용하여 변형 이미지 복원 문제를 해결하기 위한 효율적인 원시-듀얼 알고리즘을 제안합니다.

FINOLA: A Novel Method for Image Reconstruction and Self-Supervised Learning Using First-Order Norm+Linear Autoregression and One-Way Wave Equations

This paper introduces FINOLA, a novel image representation method based on the discovery that images share a set of one-way wave equations in a latent space, with each image corresponding to a unique solution generated from a learned initial condition.

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