Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1610.02454
Cited By
Learning What and Where to Draw
8 October 2016
Scott E. Reed
Zeynep Akata
S. Mohan
Samuel Tenka
Bernt Schiele
Honglak Lee
DRL
GAN
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Learning What and Where to Draw"
25 / 25 papers shown
Title
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
Lin Geng Foo
Hossein Rahmani
Jing Liu
135
31
0
27 Aug 2023
DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis
Ming Tao
Hao Tang
Leilei Gan
Xiaoyuan Jing
Bingkun Bao
Changsheng Xu
89
213
0
13 Aug 2020
Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach
Yahui Liu
Marco De Nadai
Deng Cai
Huayang Li
Xavier Alameda-Pineda
N. Sebe
Bruno Lepri
75
59
0
10 Aug 2020
OpenGAN: Open Set Generative Adversarial Networks
Luke Ditria
Benjamin J. Meyer
Tom Drummond
VLM
AI4CE
GAN
81
20
0
18 Mar 2020
Semantic Object Accuracy for Generative Text-to-Image Synthesis
Tobias Hinz
Stefan Heinrich
S. Wermter
EGVM
67
159
0
29 Oct 2019
Controllable Text-to-Image Generation
Bowen Li
Xiaojuan Qi
Thomas Lukasiewicz
Philip Torr
GAN
84
354
0
16 Sep 2019
Generative Adversarial Text to Image Synthesis
Scott E. Reed
Zeynep Akata
Xinchen Yan
Lajanugen Logeswaran
Bernt Schiele
Honglak Lee
GAN
177
3,143
0
17 May 2016
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
199
842
0
17 May 2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
S. M. Ali Eslami
N. Heess
T. Weber
Yuval Tassa
David Szepesvari
Koray Kavukcuoglu
Geoffrey E. Hinton
3DV
BDL
OCL
120
551
0
28 Mar 2016
One-Shot Generalization in Deep Generative Models
Danilo Jimenez Rezende
S. Mohamed
Ivo Danihelka
Karol Gregor
Daan Wierstra
BDL
VLM
DRL
LRM
103
254
0
16 Mar 2016
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
429
2,566
0
25 Jan 2016
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
Jimei Yang
Scott E. Reed
Ming-Hsuan Yang
Honglak Lee
VOT
49
314
0
05 Jan 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
243
13,989
0
19 Nov 2015
Generating Images from Captions with Attention
Elman Mansimov
Emilio Parisotto
Jimmy Lei Ba
Ruslan Salakhutdinov
VLM
79
454
0
09 Nov 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh
Xiaoxiao Guo
Honglak Lee
Richard L. Lewis
Satinder Singh
101
852
0
31 Jul 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L. Denton
Soumith Chintala
Arthur Szlam
Rob Fergus
GAN
90
2,241
0
18 Jun 2015
Generative Image Modeling Using Spatial LSTMs
Lucas Theis
Matthias Bethge
GAN
VLM
58
200
0
10 Jun 2015
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
292
7,379
0
05 Jun 2015
Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni
William F. Whitney
Pushmeet Kohli
J. Tenenbaum
DRL
BDL
91
929
0
11 Mar 2015
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GAN
DRL
159
1,960
0
16 Feb 2015
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Alexey Dosovitskiy
Jost Tobias Springenberg
Maxim Tatarchenko
Thomas Brox
GAN
143
676
0
21 Nov 2014
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
Ryan Kiros
Ruslan Salakhutdinov
R. Zemel
VLM
101
1,397
0
10 Nov 2014
Evaluation of Output Embeddings for Fine-Grained Image Classification
Zeynep Akata
Scott E. Reed
D. Walter
Honglak Lee
Bernt Schiele
78
1,020
0
30 Sep 2014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
203
6,770
0
03 Sep 2014
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
408
16,947
0
20 Dec 2013
1