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1610.04490
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Amortised MAP Inference for Image Super-resolution
International Conference on Learning Representations (ICLR), 2016
14 October 2016
C. Sønderby
Jose Caballero
Lucas Theis
Wenzhe Shi
Ferenc Huszár
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Papers citing
"Amortised MAP Inference for Image Super-resolution"
50 / 259 papers shown
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Style Quantization for Data-Efficient GAN Training
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Dual-Space Augmented Intrinsic-LoRA for Wind Turbine Segmentation
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pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
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Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks
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MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy
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Tomasz Urbañczyk
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233
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253
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Jianfei Chen
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167
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Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
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Jingrun Chen
Yixin Luo
Xiaoping Zhou
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269
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A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
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Philip Schniter
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255
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Lucas Mahler
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Florian Birk
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282
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Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models
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216
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187
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Qingsong Wen
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Tien-Ping Tan
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Spectral Bandwidth Recovery of Optical Coherence Tomography Images using Deep Learning
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Da Ma
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M. Ju
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M. Sarunic
157
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Aviral Kumar
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278
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Digital twins of physical printing-imaging channel
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Brian Pulfer
Roman Chaban
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Svyatoslav Voloshynovskiy
234
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A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
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Rizwan Ahmad
Philip Schniter
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518
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Dylan Randle
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405
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Gromov-Wasserstein Autoencoders
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298
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Yuan Xue
A. Carass
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267
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N. Kuo
Federico Garcia
Anders Sönnerborg
Maurizio Zazzi
Michael Böhm
Rolf Kaiser
Mark Polizzotto
Louisa R Jorm
S. Barbieri
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387
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Predictive Object-Centric Process Monitoring
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A. F. Ghahfarokhi
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246
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Out-of-Distribution Detection with Class Ratio Estimation
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Tim Z. Xiao
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Jingyu Sun
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234
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Invertible Sharpening Network for MRI Reconstruction Enhancement
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Siyuan Dong
Eric Z. Chen
Lin Zhao
Xiao Chen
Yikang Liu
Terrence Chen
Shanhui Sun
242
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06 Jun 2022
Diffusion-GAN: Training GANs with Diffusion
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Zhendong Wang
Huangjie Zheng
Pengcheng He
Weizhu Chen
Mingyuan Zhou
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A unified framework for dataset shift diagnostics
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Felipe Maia Polo
Rafael Izbicki
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Conditional Injective Flows for Bayesian Imaging
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K. Kothari
Leonardo Salsi
Ali Aghababaei Harandi
Maarten V. de Hoop
Ivan Dokmanić
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297
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281
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