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Alexandre Alahi
Li Fei-Fei
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Semantic Image Synthesis With Spatially-Adaptive Normalization
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2019
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Taesung Park
Ming-Yu Liu
Ting-Chun Wang
Jun-Yan Zhu
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Image-to-Image Translation with Conditional Adversarial Networks
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2017
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Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
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Adam: A Method for Stochastic Optimization
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DoveNet: Deep Image Harmonization via Domain Verification
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2020
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Wenyan Cong
Zhang Jianfu
Li Niu
Liu Liu
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Weiyuan Li
Liqing Zhang
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Improving the Harmony of the Composite Image by Spatial-Separated Attention Module
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2020
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Xiaodong Cun
Chi‐Man Pun
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Instance Normalization: The Missing Ingredient for Fast Stylization
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Andrea Vedaldi
Victor Lempitsky
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Adding Conditional Control to Text-to-Image Diffusion Models
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2023
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Lvmin Zhang
Anyi Rao
Maneesh Agrawala
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Style Transfer Via Texture Synthesis
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2017
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Michael Elad
Peyman Milanfar
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Classifier-Free Diffusion Guidance
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Jonathan Ho
Tim Salimans
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Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
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2019
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Egor Zakharov
Aliaksandra Shysheya
Egor Burkov
Victor Lempitsky
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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Karen Simonyan
Andrew Zisserman
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Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization
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Xun Huang
Serge Belongie
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Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
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2016
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Chuan Li
Michael Wand
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Sergey Ioffe
Christian Szegedy
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Deep Image Harmonization
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Yi–Hsuan Tsai
Xiaohui Shen
Zhe Lin
Kalyan Sunkavalli
Xin Lu
Ming–Hsuan Yang
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Multimodal Unsupervised Image-to-Image Translation
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2018
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Xun Huang
Ming-Yu Liu
Serge Belongie
Jan Kautz
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Few-Shot Unsupervised Image-to-Image Translation
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2019
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Ming-Yu Liu
Xun Huang
Arun Mallya
Tero Karras
Timo Aila
Jaakko Lehtinen
Jan Kautz
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Diffusion Models Beat GANs on Image Synthesis
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2021
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Prafulla Dhariwal
Alex Nichol
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High-Resolution Image Synthesis with Latent Diffusion Models
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2022
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Robin Rombach
Andreas Blattmann
Dominik Lorenz
Patrick Esser
Björn Ommer
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A Learned Representation For Artistic Style
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Jonathon Shlens
Manjunath Kudlur
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Deep Residual Learning for Image Recognition
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Xiangyu Zhang
Shaoqing Ren
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Region Normalization for Image Inpainting
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2020
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Tao Yu
Zongyu Guo
Xin Jin
Shilin Wu
Zhibo Chen
Weiping Li
Zhizheng Zhang
Sen Liu
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Denoising Diffusion Probabilistic Models
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2020
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Ajay N. Jain
Pieter Abbeel
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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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2017
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Christian Ledig
Lucas Theis
Ferenc Huszár
José Caballero
Andrew Cunningham
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Andrew P. Aitken
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Zehan Wang
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Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
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2017
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Debidatta Dwibedi
Ishan Misra
Martial Hebert
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Learning Video Object Segmentation from Static Images
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2017
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Federico Perazzi
Anna Khoreva
Rodrigo Benenson
Bernt Schiele
Alexander Sorkine‐Hornung
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Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
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2017
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José Caballero
Christian Ledig
Andrew P. Aitken
Alejandro Acosta
Johannes Totz
Zehan Wang
Wenzhe Shi
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Deep Feature Flow for Video Recognition
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2017
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Xizhou Zhu
Yuwen Xiong
Jifeng Dai
Lu Yuan
Yichen Wei
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Feature Pyramid Networks for Object Detection
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2017
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Tsung-Yi Lin
Piotr Dollár
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
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1
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Conditional Generative Adversarial Nets
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2014
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Mehdi Mirza
Simon Osindero
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1
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Invertible Conditional GANs for image editing
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Guim Perarnau
Joost van de Weijer
Bogdan Raducanu
Jose M. Álvarez
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Image-to-Image Translation with Conditional Adversarial Networks
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2016
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Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
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1
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What Can We Learn Privately?
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2011
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Shiva Prasad Kasiviswanathan
Homin K. Lee
Kobbi Nissim
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Adam Smith
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Stereo Magnification: Learning View Synthesis using Multiplane Images
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2018
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Tinghui Zhou
Richard Tucker
John P. Flynn
Graham Fyffe
Noah Snavely
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Image Inpainting for Irregular Holes Using Partial Convolutions
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2018
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Guilin Liu
Fitsum A. Reda
Kevin J. Shih
Ting-Chun Wang
Andrew Tao
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Optical Flow Estimation Using a Spatial Pyramid Network
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Anurag Ranjan
Michael J. Black
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ImageNet Large Scale Visual Recognition Challenge
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Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
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Deep Learning Face Attributes in the Wild
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2015
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Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
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Deep Identity-aware Transfer of Facial Attributes
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Mu Li
Wangmeng Zuo
David Zhang
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A Hybrid Model for Identity Obfuscation by Face Replacement
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2018
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Qianru Sun
Ayush Tewari
Weipeng Xu
Mario Fritz
Christian Theobalt
Bernt Schiele
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CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF
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2018
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Linchao Bao
Baoyuan Wu
Wei Liu
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Privacy-Preserving Human Activity Recognition from Extreme Low Resolution
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2017
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Michael S. Ryoo
Brandon Rothrock
Charles B. Fleming
Hyun Jong Yang
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Learning a Discriminative Model for the Perception of Realism in Composite Images
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2015
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Jun-Yan Zhu
Philipp Krähenbühl
Eli Shechtman
Alexei A. Efros
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Deep face recognition: A survey
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2020
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Mei Wang
Weihong Deng
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Attention U-Net: Learning Where to Look for the Pancreas
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2018
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Ozan Oktay
Jo Schlemper
Loïc Le Folgoc
Matthew C. H. Lee
Mattias P. Heinrich
Kazunari Misawa
Kensaku Mori
Steven McDonagh
Nils Hammerla
Bernhard Kainz
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A Note on the Inception Score
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Shane Barratt
Rishi Sharma
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Fast and Accurate Online Video Object Segmentation via Tracking Parts
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2018
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Jingchun Cheng
Yi–Hsuan Tsai
Wei-Chih Hung
Shengjin Wang
Ming–Hsuan Yang
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Natural and Effective Obfuscation by Head Inpainting
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2018
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Qianru Sun
Liqian Ma
Seong Joon Oh
Luc Van Gool
Bernt Schiele
Mario Fritz
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Progressive Growing of GANs for Improved Quality, Stability, and Variation
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Tero Karras
Timo Aila
Samuli Laine
Jaakko Lehtinen
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