Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

15 February 2021

Papers citing "Intermediate Layer Optimization for Inverse Problems using Deep Generative Models"

22 / 22 papers shown

Title
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling Kaiyuan Zhang Siyuan Cheng Guangyu Shen Bruno Ribeiro Shengwei An Pin-Yu Chen X. Zhang Ninghui Li 100 1 0 28 Jan 2025
Idempotence and Perceptual Image Compression Tongda Xu Ziran Zhu Dailan He Yanghao Li Lina Guo ... Zhe Wang Hongwei Qin Yan Wang Jingjing Liu Ya-Qin Zhang 43 15 0 17 Jan 2024
Deep Internal Learning: Deep Learning from a Single Input Tom Tirer Raja Giryes Se Young Chun Yonina C. Eldar 32 3 0 12 Dec 2023
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing Junren Chen Jonathan Scarlett Michael K. Ng Zhaoqiang Liu FedML 32 6 0 25 Sep 2023
Robust Unsupervised StyleGAN Image Restoration Yohan Poirier-Ginter Jean-François Lalonde 38 17 0 13 Feb 2023
Using Intermediate Forward Iterates for Intermediate Generator Optimization Harshit Mishra Jurijs Nazarovs Manmohan Dogra Sathya Ravi DiffM 27 0 0 05 Feb 2023
Learning Representations for Masked Facial Recovery Zaigham A. Randhawa Shivang Patel Donald Adjeroh Gianfranco Doretto CVBM 27 0 0 28 Dec 2022
Multiresolution Textual Inversion Giannis Daras A. Dimakis 34 34 0 30 Nov 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems Giannis Daras Y. Dagan A. Dimakis C. Daskalakis BDL 31 15 0 18 Jun 2022
Improving Diffusion Models for Inverse Problems using Manifold Constraints Hyungjin Chung Byeongsu Sim Dohoon Ryu J. C. Ye DiffM MedIm 28 432 0 02 Jun 2022
Optimizing Intermediate Representations of Generative Models for Phase Retrieval Tobias Uelwer S. Konietzny Stefan Harmeling 21 1 0 31 May 2022
Overparameterization Improves StyleGAN Inversion Yohan Poirier-Ginter Alexandre Lessard Ryan Smith Jean-François Lalonde 40 4 0 12 May 2022
TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution with Applications to Imaging Through Turbulence Brandon Yushan Feng Mingyang Xie Christopher A. Metzler ViT 20 14 0 13 Mar 2022
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models Dongzhuo Li MedIm 38 2 0 07 Dec 2021
FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization Xingchao Liu Chengyue Gong Lemeng Wu Shujian Zhang Haoran Su Qiang Liu CLIP 35 89 0 02 Dec 2021
EdiBERT, a generative model for image editing Thibaut Issenhuth Ugo Tanielian Jérémie Mary David Picard DiffM 32 12 0 30 Nov 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 41 322 0 03 Aug 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 24 118 0 12 Jun 2021
Improving the Fairness of Deep Generative Models without Retraining Shuhan Tan Yujun Shen Bolei Zhou 180 59 0 09 Dec 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 194 540 0 08 Mar 2020
One-dimensional Deep Image Prior for Time Series Inverse Problems Sriram Ravula A. Dimakis 42 7 0 18 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,354 0 12 Dec 2018