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Multimodal Image Outpainting With Regularized Normalized Diversification

Multimodal Image Outpainting With Regularized Normalized Diversification

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
25 October 2019
Lingzhi Zhang
Jiancong Wang
Jianbo Shi
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Multimodal Image Outpainting With Regularized Normalized Diversification"

47 / 47 papers shown
Continuous-Multiple Image Outpainting in One-Step via Positional Query
  and A Diffusion-based Approach
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based ApproachInternational Conference on Learning Representations (ICLR), 2024
Shaofeng Zhang
Jinfa Huang
Qiang-feng Zhou
Zhibin Wang
Fan Wang
Jiebo Luo
Junchi Yan
DiffM
274
22
0
28 Jan 2024
Towards Reliable Image Outpainting: Learning Structure-Aware Multimodal
  Fusion with Depth Guidance
Towards Reliable Image Outpainting: Learning Structure-Aware Multimodal Fusion with Depth GuidanceIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Lei Zhang
K. Liao
Chunyu Lin
Yao Zhao
752
1
0
12 Apr 2022
Generative Adversarial Networks
Generative Adversarial NetworksInternational Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
Gilad Cohen
Raja Giryes
GAN
816
30,401
0
01 Mar 2022
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided
  Adversarial Learning
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning
Chang-Hwan Oh
Wonjune Cho
Daehee Park
Yujeong Chae
Lin Wang
Kuk-Jin Yoon
3DVMDE
170
26
0
12 Dec 2021
A Probabilistic Hard Attention Model For Sequentially Observed Scenes
A Probabilistic Hard Attention Model For Sequentially Observed ScenesBritish Machine Vision Conference (BMVC), 2021
Samrudhdhi B. Rangrej
James J. Clark
173
15
0
15 Nov 2021
Nested Scale Editing for Conditional Image Synthesis
Nested Scale Editing for Conditional Image SynthesisComputer Vision and Pattern Recognition (CVPR), 2020
Lingzhi Zhang
Jiancong Wang
Yinshuang Xu
Jie Min
Tarmily Wen
J. Gee
Jianbo Shi
DiffM
190
4
0
03 Jun 2020
Deep Image Blending
Deep Image BlendingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Lingzhi Zhang
Tarmily Wen
Jianbo Shi
148
112
0
25 Oct 2019
Normalized Diversification
Normalized Diversification
Gangyan Zeng
Xiao Zhang
Jianqiao Wangni
Jianbo Shi
GANDiffM
222
21
0
07 Apr 2019
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
Xueting Li
Sifei Liu
Kihwan Kim
Xiaolong Wang
Ming-Hsuan Yang
Jan Kautz
3DV
249
121
0
13 Mar 2019
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Qi Mao
Hsin-Ying Lee
Hung-Yu Tseng
Siwei Ma
Ming-Hsuan Yang
GAN
221
428
0
13 Mar 2019
Object-driven Text-to-Image Synthesis via Adversarial Training
Object-driven Text-to-Image Synthesis via Adversarial TrainingComputer Vision and Pattern Recognition (CVPR), 2019
Wenbo Li
Pengchuan Zhang
Lei Zhang
Qiuyuan Huang
Xiaodong He
Siwei Lyu
Jianfeng Gao
GAN
259
316
0
27 Feb 2019
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning
Kamyar Nazeri
Eric Ng
Tony Joseph
F. Qureshi
Mehran Ebrahimi
GAN
477
752
0
01 Jan 2019
Context-Aware Synthesis and Placement of Object Instances
Context-Aware Synthesis and Placement of Object Instances
Donghoon Lee
Sifei Liu
Liang Feng
Ming-Yuan Liu
Ming-Hsuan Yang
Jan Kautz
190
121
0
06 Dec 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias
  improves accuracy and robustness
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix Wichmann
Wieland Brendel
711
2,946
0
29 Nov 2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang
Ke Yu
Shixiang Wu
Jinjin Gu
Yihao Liu
Chao Dong
Chen Change Loy
Yu Qiao
Xiaoou Tang
606
4,337
0
01 Sep 2018
BourGAN: Generative Networks with Metric Embeddings
BourGAN: Generative Networks with Metric Embeddings
Chang Xiao
Peilin Zhong
Changxi Zheng
GAN
217
72
0
19 May 2018
Image Inpainting for Irregular Holes Using Partial Convolutions
Image Inpainting for Irregular Holes Using Partial ConvolutionsEuropean Conference on Computer Vision (ECCV), 2018
Guilin Liu
F. Reda
Kevin J. Shih
Ting-Chun Wang
Andrew Tao
Bryan Catanzaro
540
2,143
0
20 Apr 2018
Binge Watching: Scaling Affordance Learning from Sitcoms
Binge Watching: Scaling Affordance Learning from Sitcoms
Xinyu Wang
Rohit Girdhar
Abhinav Gupta
179
88
0
09 Apr 2018
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and
  Beyond
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond
Xi Ouyang
Yu Cheng
Lezhi Li
Chun-Liang Li
Pan Zhou
GAN
199
76
0
05 Apr 2018
Image Generation from Scene Graphs
Image Generation from Scene Graphs
Justin Johnson
Agrim Gupta
Li Fei-Fei
GNN
744
883
0
04 Apr 2018
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image
  Compositing
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
Chen-Hsuan Lin
Ersin Yumer
Oliver Wang
Eli Shechtman
Simon Lucey
GAN
182
237
0
05 Mar 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
513
4,780
0
16 Feb 2018
Generative Image Inpainting with Contextual Attention
Generative Image Inpainting with Contextual Attention
Jiahui Yu
Zhe Lin
Jimei Yang
Xiaohui Shen
Xin Lu
Thomas S. Huang
GANDiffM
401
2,464
0
24 Jan 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
2.8K
15,370
0
11 Jan 2018
Im2Flow: Motion Hallucination from Static Images for Action Recognition
Im2Flow: Motion Hallucination from Static Images for Action Recognition
Ruohan Gao
Bo Xiong
Kristen Grauman
283
98
0
12 Dec 2017
Super-FAN: Integrated facial landmark localization and super-resolution
  of real-world low resolution faces in arbitrary poses with GANs
Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs
Adrian Bulat
Georgios Tzimiropoulos
SupR
190
328
0
07 Dec 2017
Toward Multimodal Image-to-Image Translation
Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu
Richard Y. Zhang
Deepak Pathak
Trevor Darrell
Alexei A. Efros
Oliver Wang
Eli Shechtman
393
1,417
0
30 Nov 2017
Universal Style Transfer via Feature Transforms
Universal Style Transfer via Feature Transforms
Yijun Li
Chen Fang
Jimei Yang
Zhaowen Wang
Xin Lu
Ming-Hsuan Yang
DiffM
372
1,082
0
23 May 2017
Deep Photo Style Transfer
Deep Photo Style Transfer
Fujun Luan
Sylvain Paris
Eli Shechtman
Kavita Bala
GAN
237
732
0
22 Mar 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
956
30,596
0
20 Mar 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance
  Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang
Serge J. Belongie
OOD
487
4,961
0
20 Mar 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
1.2K
13,505
0
04 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
1.0K
21,490
0
21 Nov 2016
Semantic Image Inpainting with Deep Generative Models
Semantic Image Inpainting with Deep Generative Models
Raymond A. Yeh
Chen Chen
Teck-Yian Lim
Alex Schwing
M. Hasegawa-Johnson
Minh Do
GANVLM
397
1,216
0
26 Jul 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross
  Convolutional Networks
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional NetworksNeural Information Processing Systems (NeurIPS), 2016
Tianfan Xue
Jiajun Wu
Katherine Bouman
Bill Freeman
184
418
0
09 Jul 2016
An Uncertain Future: Forecasting from Static Images using Variational
  Autoencoders
An Uncertain Future: Forecasting from Static Images using Variational AutoencodersEuropean Conference on Computer Vision (ECCV), 2016
Jacob Walker
Carl Doersch
Abhinav Gupta
M. Hebert
VGen
295
522
0
25 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep LearningAllerton Conference on Communication, Control, and Computing (Allerton), 2016
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
469
1,887
0
31 May 2016
Generative Adversarial Text to Image Synthesis
Generative Adversarial Text to Image Synthesis
Scott E. Reed
Zeynep Akata
Xinchen Yan
Lajanugen Logeswaran
Bernt Schiele
Honglak Lee
GAN
465
3,338
0
17 May 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
386
5,614
0
25 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.6K
12,849
0
06 Apr 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
674
11,070
0
27 Mar 2016
Autoencoding beyond pixels using a learned similarity metric
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
GAN
631
2,177
0
31 Dec 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
759
6,748
0
14 Nov 2015
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
738
8,903
0
31 Dec 2014
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the WildIEEE International Conference on Computer Vision (ICCV), 2014
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
1.5K
9,196
0
28 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014
Karen Simonyan
Andrew Zisserman
FAttMDE
3.7K
108,399
0
04 Sep 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational BayesInternational Conference on Learning Representations (ICLR), 2013
Diederik P. Kingma
Max Welling
BDL
1.5K
17,225
0
20 Dec 2013
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