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"

6 / 6 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
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 19 4 0 16 Mar 2024
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 26 9 0 28 Mar 2023
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 31 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 97 354 0 13 Sep 2021
Cubic-Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios TPM 45 57 0 05 Jun 2019