On the Robustness of Normalizing Flows for Inverse Problems in Imaging

8 December 2022

Papers citing "On the Robustness of Normalizing Flows for Inverse Problems in Imaging"

9 / 9 papers shown

Title
Constructing Fair Latent Space for Intersection of Fairness and Explainability Hyungjun Joo Hyeonggeun Han Sehwan Kim Sangwoo Hong Jungwoo Lee 40 0 0 23 Dec 2024
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing Seongmin Hong Jaehyeok Bae Jongho Lee S. Chun 21 0 0 18 Sep 2024
GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval Han Zhou Wei Dong Xiaohong Liu Shuaicheng Liu Xiongkuo Min Guangtao Zhai Jun Chen 66 12 0 17 Jul 2024
Boosting Flow-based Generative Super-Resolution Models via Learned Prior Li-Yuan Tsao Yi-Chen Lo Chia-Che Chang Hao-Wei Chen Roy Tseng Chien Feng Chun-Yi Lee SupR 21 4 0 16 Mar 2024
Training-free Linear Image Inverses via Flows Ashwini Pokle Matthew Muckley Ricky T. Q. Chen Brian Karrer 11 20 0 25 Sep 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 29 9 0 28 Mar 2023
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 36 5 0 25 Oct 2022
Low-Light Image Enhancement with Normalizing Flow Yufei Wang Renjie Wan Wenhan Yang Haoliang Li Lap-Pui Chau Alex C. Kot 103 354 0 13 Sep 2021
Cubic-Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios TPM 48 57 0 05 Jun 2019