Zhang, H.[Han],
Xu, T.[Tao],
Li, H.S.[Hong-Sheng],
Zhang, S.T.[Shao-Ting],
Wang, X.G.[Xiao-Gang],
Huang, X.L.[Xiao-Lei],
Metaxas, D.N.[Dimitris N.],
StackGAN++: Realistic Image Synthesis with Stacked Generative
Adversarial Networks,
PAMI(41), No. 8, August 2019, pp. 1947-1962.
IEEE DOI
1907
Generators, Image resolution, Training,
Image generation, Task analysis, Computational modeling,
text-to-image synthesis
BibRef
Zhang, H.[Han],
Xu, T.[Tao],
Li, H.S.[Hong-Sheng],
StackGAN: Text to Photo-Realistic Image Synthesis with Stacked
Generative Adversarial Networks,
ICCV17(5908-5916)
IEEE DOI
1802
feature extraction, image representation,
image resolution, object recognition, realistic images,
Training
BibRef
Xu, T.[Tao],
Zhang, P.C.[Peng-Chuan],
Huang, Q.Y.[Qiu-Yuan],
Zhang, H.[Han],
Gan, Z.[Zhe],
Huang, X.L.[Xiao-Lei],
He, X.D.[Xiao-Dong],
AttnGAN: Fine-Grained Text to Image Generation with Attentional
Generative Adversarial Networks,
CVPR18(1316-1324)
IEEE DOI
1812
Generative adversarial networks,
Computational modeling, Image generation, Generators, Semantics, Visualization
BibRef
Zhang, J.[Ji],
Mei, K.Z.[Kui-Zhi],
Zheng, Y.[Yu],
Fan, J.P.[Jian-Ping],
Exploiting Mid-Level Semantics for Large-Scale Complex Video
Classification,
MultMed(21), No. 10, October 2019, pp. 2518-2530.
IEEE DOI
1910
computer vision, feature extraction, image classification,
image motion analysis, image representation,
large-scale video classification
BibRef
Zhang, J.[Ji],
Mei, K.Z.[Kui-Zhi],
Wang, X.,
Zheng, Y.[Yu],
Fan, J.P.[Jian-Ping],
From Text to Video: Exploiting Mid-Level Semantics for Large-Scale
Video Classification,
ICPR18(1695-1700)
IEEE DOI
1812
Semantics, Task analysis, Visualization, Streaming media, Detectors,
Encoding, Bridges
BibRef
Peng, Y.X.[Yu-Xin],
Qi, J.W.[Jin-Wei],
Show and Tell in the Loop: Cross-Modal Circular Correlation Learning,
MultMed(21), No. 6, June 2019, pp. 1538-1550.
IEEE DOI
1906
Correlation, Bridges, Logic gates, Semantics, Task analysis, Cognition,
Feeds, Circular correlation learning, cross-modal retrieval,
text-to-image synthesis
BibRef
Zhang, X.W.[Xin-Wei],
Wang, J.[Jin],
Lu, G.D.[Guo-Dong],
Zhang, X.S.[Xu-Sheng],
Pattern understanding and synthesis based on layout tree descriptor,
VC(36), No. 6, June 2020, pp. 1141-1155.
WWW Link.
2005
BibRef
Baraheem, S.S.[Samah S.],
Nguyen, T.V.[Tam V.],
Text-to-image via mask anchor points,
PRL(133), 2020, pp. 25-32.
Elsevier DOI
2005
Text-to-image, Mask dataset, Image synthesis, Anchor points
BibRef
Sarafianos, N.,
Xu, X.,
Kakadiaris, I.,
Adversarial Representation Learning for Text-to-Image Matching,
ICCV19(5813-5823)
IEEE DOI
2004
image matching, image representation,
learning (artificial intelligence), Adversarial representation,
Distance measurement
BibRef
Tan, H.,
Liu, X.,
Li, X.,
Zhang, Y.,
Yin, B.,
Semantics-Enhanced Adversarial Nets for Text-to-Image Synthesis,
ICCV19(10500-10509)
IEEE DOI
2004
image representation, image segmentation, neural nets,
realistic images, text analysis, SEGAN,
Stability analysis
BibRef
Lao, Q.,
Havaei, M.,
Pesaranghader, A.,
Dutil, F.,
Jorio, L.D.,
Fevens, T.,
Dual Adversarial Inference for Text-to-Image Synthesis,
ICCV19(7566-7575)
IEEE DOI
2004
image processing, inference mechanisms,
learning (artificial intelligence), text analysis,
Task analysis
BibRef
Zhu, M.F.[Min-Feng],
Pan, P.[Pingbo],
Chen, W.[Wei],
Yang, Y.[Yi],
DM-GAN: Dynamic Memory Generative Adversarial Networks for
Text-To-Image Synthesis,
CVPR19(5795-5803).
IEEE DOI
2002
BibRef
Sun, W.,
Wu, T.,
Image Synthesis From Reconfigurable Layout and Style,
ICCV19(10530-10539)
IEEE DOI
2004
Code, Image Synthesis.
WWW Link. genomics, learning (artificial intelligence), LostGAN,
reconfigurable layout, fine-grained mask maps, Image resolution
BibRef
Jyothi, A.A.[Akash Abdu],
Durand, T.[Thibaut],
He, J.W.[Jia-Wei],
Sigal, L.[Leonid],
Mori, G.[Greg],
LayoutVAE: Stochastic Scene Layout Generation From a Label Set,
ICCV19(9894-9903)
IEEE DOI
2004
object detection, LayoutVAE, label set, textual description,
plausible visual variations,
BibRef
Tan, F.[Fuwen],
Feng, S.[Song],
Ordonez, V.[Vicente],
Text2Scene: Generating Compositional Scenes From Textual Descriptions,
CVPR19(6703-6712).
IEEE DOI
2002
BibRef
Zhao, B.[Bo],
Meng, L.[Lili],
Yin, W.D.[Wei-Dong],
Sigal, L.[Leonid],
Image Generation From Layout,
CVPR19(8576-8585).
IEEE DOI
2002
BibRef
Yin, G.J.[Guo-Jun],
Liu, B.[Bin],
Sheng, L.[Lu],
Yu, N.H.[Neng-Hai],
Wang, X.G.[Xiao-Gang],
Shao, J.[Jing],
Semantics Disentangling for Text-To-Image Generation,
CVPR19(2322-2331).
IEEE DOI
2002
BibRef
Qiao, T.T.[Ting-Ting],
Zhang, J.[Jing],
Xu, D.Q.[Duan-Qing],
Tao, D.C.[Da-Cheng],
MirrorGAN: Learning Text-To-Image Generation by Redescription,
CVPR19(1505-1514).
IEEE DOI
2002
BibRef
Li, W.[Wenbo],
Zhang, P.C.[Peng-Chuan],
Zhang, L.[Lei],
Huang, Q.Y.[Qiu-Yuan],
He, X.D.[Xiao-Dong],
Lyu, S.W.[Si-Wei],
Gao, J.F.[Jian-Feng],
Object-Driven Text-To-Image Synthesis via Adversarial Training,
CVPR19(12166-12174).
IEEE DOI
2002
BibRef
Talavera, A.,
Tan, D.S.,
Azcarraga, A.,
Hua, K.,
Layout and Context Understanding for Image Synthesis with Scene
Graphs,
ICIP19(1905-1909)
IEEE DOI
1910
Generative Models, Text-to-Image Synthesis, Scene Graphs
BibRef
Joseph, K.J.,
Pal, A.[Arghya],
Rajanala, S.[Sailaja],
Balasubramanian, V.N.[Vineeth N.],
C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis,
WACV19(358-366)
IEEE DOI
1904
image capture, image processing, virtual reality, visual databases,
image editing, virtual reality, plausible image,
Data models
BibRef
Zhang, Z.,
Xie, Y.,
Yang, L.,
Photographic Text-to-Image Synthesis with a Hierarchically-Nested
Adversarial Network,
CVPR18(6199-6208)
IEEE DOI
1812
Generators, Training, Image resolution,
Task analysis, Semantics, Measurement
BibRef
Qi, X.,
Chen, Q.,
Jia, J.,
Koltun, V.,
Semi-Parametric Image Synthesis,
CVPR18(8808-8816)
IEEE DOI
1812
Image segmentation, Semantics, Layout, Training, Image generation,
Image color analysis, Pipelines
BibRef
Li, K.[Ke],
Zhang, T.,
Malik, J.[Jitendra],
Diverse Image Synthesis From Semantic Layouts via Conditional IMLE,
ICCV19(4219-4228)
IEEE DOI
2004
image representation, image segmentation,
learning (artificial intelligence),
Probabilistic logic
BibRef
Yanagi, R.,
Togo, R.,
Ogawa, T.,
Haseyama, M.,
Scene Retrieval for Video Summarization Based on Text-to-Image GAN,
ICIP19(1825-1829)
IEEE DOI
1910
Scene retrieval, video summarization, text-to-image GAN, deep learning
BibRef
Hong, S.H.[Seung-Hoon],
Yang, D.D.[Ding-Dong],
Choi, J.[Jongwook],
Lee, H.[Honglak],
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis,
CVPR18(7986-7994)
IEEE DOI
1812
Layout, Generators, Semantics, Shape, Image generation,
Task analysis
BibRef
Sah, S.,
Peri, D.,
Shringi, A.,
Zhang, C.,
Dominguez, M.,
Savakis, A.,
Ptucha, R.,
Semantically Invariant Text-to-Image Generation,
ICIP18(3783-3787)
IEEE DOI
1809
Measurement, Image generation, Generators, Image quality, Detectors,
Visualization, Cost function
BibRef
Kong, C.[Chen],
Lin, D.[Dahua],
Bansal, M.[Mohit],
Urtasun, R.[Raquel],
Fidler, S.[Sanja],
What Are You Talking About? Text-to-Image Coreference,
CVPR14(3558-3565)
IEEE DOI
1409
3D object detection; Text and images; scene understanding
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Merging Views, Object Insertion in Image .