ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1610.02454
  4. Cited By
Learning What and Where to Draw

Learning What and Where to Draw

8 October 2016
Scott E. Reed
Zeynep Akata
S. Mohan
Samuel Tenka
Bernt Schiele
Honglak Lee
    DRL
    GAN
ArXivPDFHTML

Papers citing "Learning What and Where to Draw"

25 / 25 papers shown
Title
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Generative Image Modeling Using Spatial LSTMs
Lucas Theis
Matthias Bethge
GAN
VLM
58
200
0
10 Jun 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
292
7,379
0
05 Jun 2015
Deep Convolutional Inverse Graphics Network
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
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
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
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
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
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
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
408
16,947
0
20 Dec 2013
1