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DRAW: A Recurrent Neural Network For Image Generation

DRAW: A Recurrent Neural Network For Image Generation

16 February 2015
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
    GAN
    DRL
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Papers citing "DRAW: A Recurrent Neural Network For Image Generation"

50 / 270 papers shown
Title
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
Ruichu Cai
Junjie Wan
Weilin Chen
Zeqin Yang
Zijian Li
Peng Zhen
Jiecheng Guo
CML
56
1
0
08 May 2025
Text-to-Image Generation for Vocabulary Learning Using the Keyword Method
Text-to-Image Generation for Vocabulary Learning Using the Keyword Method
Nuwan T. Attygalle
M. Kljun
Aaron Quigley
Klen Copic Pucihar
Jens Grubert
...
Juri Yoneyama
Alice Toniolo
Angela Miguel
Hirokazu Kato
M. Weerasinghe
DiffM
78
0
0
28 Jan 2025
Any-Resolution AI-Generated Image Detection by Spectral Learning
Any-Resolution AI-Generated Image Detection by Spectral Learning
Dimitrios Karageorgiou
Symeon Papadopoulos
I. Kompatsiaris
Efstratios Gavves
103
0
0
28 Nov 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. Valiuddin
R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
UQCV
89
1
0
25 Nov 2024
Face Mask Removal with Region-attentive Face Inpainting
Face Mask Removal with Region-attentive Face Inpainting
Minmin Yang
CVBM
44
0
0
10 Sep 2024
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Amir Mohammad Karimi Mamaghan
Samuele Papa
Karl Henrik Johansson
Stefan Bauer
Andrea Dittadi
OCL
44
5
0
22 Jul 2024
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically
  Low-dimensional Data
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
Saptarshi Chakraborty
Peter L. Bartlett
38
1
0
24 Feb 2024
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
J. Liu
73
31
0
27 Aug 2023
TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis
TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis
Zihan Zhang
Richard Liu
Kfir Aberman
Rana Hanocka
DiffM
28
26
0
27 Jul 2023
JourneyDB: A Benchmark for Generative Image Understanding
JourneyDB: A Benchmark for Generative Image Understanding
Keqiang Sun
Junting Pan
Yuying Ge
Hao Li
Haodong Duan
...
Yi Wang
Jifeng Dai
Yu Qiao
Limin Wang
Hongsheng Li
45
101
0
03 Jul 2023
Active Sensing with Predictive Coding and Uncertainty Minimization
Active Sensing with Predictive Coding and Uncertainty Minimization
A. Sharafeldin
N. Imam
Hannah Choi
20
2
0
02 Jul 2023
Temporal Conditioning Spiking Latent Variable Models of the Neural
  Response to Natural Visual Scenes
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes
Gehua (Marcus) Ma
Runhao Jiang
Rui Yan
Huajin Tang
AI4TS
42
6
0
21 Jun 2023
Differential Diffusion: Giving Each Pixel Its Strength
Differential Diffusion: Giving Each Pixel Its Strength
E. Levin
Ohad Fried
DiffM
37
20
0
01 Jun 2023
State Representation Learning Using an Unbalanced Atlas
State Representation Learning Using an Unbalanced Atlas
Li Meng
Morten Goodwin
Anis Yazidi
P. Engelstad
21
2
0
17 May 2023
Variable Length Embeddings
Variable Length Embeddings
Johnathan Chiu
Andi Gu
Matt Zhou
DRL
14
0
0
17 May 2023
Learning from Predictions: Fusing Training and Autoregressive Inference
  for Long-Term Spatiotemporal Forecasts
Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts
Pantelis R. Vlachas
P. Koumoutsakos
AI4TS
AI4CE
16
7
0
22 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey
Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou
Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Biwei Huang
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Kun Zhang
AI4CE
50
11
0
29 Jan 2023
Structural Attention-Based Recurrent Variational Autoencoder for Highway
  Vehicle Anomaly Detection
Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection
Neeloy Chakraborty
Aamir Hasan
Shuijing Liu
Tianchen Ji
Weihang Liang
D. L. McPherson
Katherine Driggs-Campbell
29
11
0
09 Jan 2023
Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task
Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task
Jason Li
Nicholas Watters
Yingting Wang
Wang
H. Sohn
M. Jazayeri
15
8
0
20 Dec 2022
Detection Selection Algorithm: A Likelihood based Optimization Method to
  Perform Post Processing for Object Detection
Detection Selection Algorithm: A Likelihood based Optimization Method to Perform Post Processing for Object Detection
An Fan
Benjamin Ticknor
Y. Amit
31
0
0
12 Dec 2022
Variational Laplace Autoencoders
Variational Laplace Autoencoders
Yookoon Park
C. Kim
Gunhee Kim
BDL
DRL
20
21
0
30 Nov 2022
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole
  Slide Histopathological Images
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images
Tian-peng Liu
R. Su
Changming Sun
Xiu-Ting Li
Leyi Wei
24
20
0
11 Oct 2022
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image
  Fusion
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion
Fabian Duffhauss
Ngo Anh Vien
Hanna Ziesche
Gerhard Neumann
30
4
0
22 Sep 2022
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Wanshu Fan
Yen-Chun Chen
Dongdong Chen
Yu Cheng
Lu Yuan
Yu-Chiang Frank Wang
DiffM
20
90
0
29 Aug 2022
Mix-Pooling Strategy for Attention Mechanism
Mix-Pooling Strategy for Attention Mechanism
Shan Zhong
Wushao Wen
Jinghui Qin
25
3
0
22 Aug 2022
Vision-Language Matching for Text-to-Image Synthesis via Generative
  Adversarial Networks
Vision-Language Matching for Text-to-Image Synthesis via Generative Adversarial Networks
Qingrong Cheng
Keyu Wen
X. Gu
VLM
EGVM
24
16
0
20 Aug 2022
Character Generation through Self-Supervised Vectorization
Character Generation through Self-Supervised Vectorization
Gokcen Gokceoglu
Emre Akbas
25
0
0
03 Aug 2022
Controllable Data Generation by Deep Learning: A Review
Controllable Data Generation by Deep Learning: A Review
Shiyu Wang
Yuanqi Du
Xiaojie Guo
Bo Pan
Zhaohui Qin
Liang Zhao
29
28
0
19 Jul 2022
Comparing the latent space of generative models
Comparing the latent space of generative models
Andrea Asperti
Valerio Tonelli
DRL
21
11
0
14 Jul 2022
Latent Variable Modelling Using Variational Autoencoders: A survey
Latent Variable Modelling Using Variational Autoencoders: A survey
Vasanth Kalingeri
CML
DRL
18
2
0
20 Jun 2022
Dual Windows Are Significant: Learning from Mediastinal Window and
  Focusing on Lung Window
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window
Qiuli Wang
Xin Tan
Chen Liu
13
0
0
08 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning
Recent Advances for Quantum Neural Networks in Generative Learning
Jinkai Tian
Xiaoyun Sun
Yuxuan Du
Shanshan Zhao
Qing Liu
...
Xingyao Wu
Min-hsiu Hsieh
Tongliang Liu
Wen-Bin Yang
Dacheng Tao
AI4CE
24
80
0
07 Jun 2022
Drawing out of Distribution with Neuro-Symbolic Generative Models
Drawing out of Distribution with Neuro-Symbolic Generative Models
Yi-Chuan Liang
J. Tenenbaum
T. Le
N. Siddharth
15
7
0
03 Jun 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
183
49
0
30 May 2022
Synthetic Data -- what, why and how?
Synthetic Data -- what, why and how?
James Jordon
Lukasz Szpruch
F. Houssiau
M. Bottarelli
Giovanni Cherubin
Carsten Maple
Samuel N. Cohen
Adrian Weller
38
109
0
06 May 2022
Outdoor Monocular Depth Estimation: A Research Review
Outdoor Monocular Depth Estimation: A Research Review
Pulkit Vyas
Chirag Saxena
Anwesh Badapanda
Anurag Goswami
MDE
18
14
0
03 May 2022
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
Derya Soydaner
3DV
36
149
0
27 Apr 2022
Recurrent Affine Transformation for Text-to-image Synthesis
Recurrent Affine Transformation for Text-to-image Synthesis
Senmao Ye
Fei Liu
Mingkui Tan
14
26
0
22 Apr 2022
Attention Mechanism based Cognition-level Scene Understanding
Attention Mechanism based Cognition-level Scene Understanding
Xuejiao Tang
Tai Le Quy
LRM
25
0
0
17 Apr 2022
LatentGAN Autoencoder: Learning Disentangled Latent Distribution
LatentGAN Autoencoder: Learning Disentangled Latent Distribution
Sanket Kalwar
Animikh Aich
Tanay Dixit
Adit Chhabra
DRL
26
0
0
05 Apr 2022
Stereo Unstructured Magnification: Multiple Homography Image for View
  Synthesis
Stereo Unstructured Magnification: Multiple Homography Image for View Synthesis
Qi Zhang
Xin Huang
Yingfa Feng
Xue Wang
Hongdong Li
Qing Wang
3DV
25
0
0
01 Apr 2022
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Oran Gafni
Adam Polyak
Oron Ashual
Shelly Sheynin
Devi Parikh
Yaniv Taigman
DiffM
17
510
0
24 Mar 2022
Competency Assessment for Autonomous Agents using Deep Generative Models
Competency Assessment for Autonomous Agents using Deep Generative Models
Aastha Acharya
Rebecca L. Russell
Nisar R. Ahmed
24
10
0
23 Mar 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic
  Programming
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
Eleonora Misino
G. Marra
Emanuele Sansone
18
21
0
07 Feb 2022
OmniPrint: A Configurable Printed Character Synthesizer
OmniPrint: A Configurable Printed Character Synthesizer
Haozhe Sun
Wei-Wei Tu
Isabelle M Guyon
SyDa
30
7
0
17 Jan 2022
Generating Synthetic Mixed-type Longitudinal Electronic Health Records
  for Artificial Intelligent Applications
Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications
Jin Li
B. Cairns
Jingsong Li
T. Zhu
SyDa
38
67
0
22 Dec 2021
BACON: Deep-Learning Powered AI for Poetry Generation with Author
  Linguistic Style Transfer
BACON: Deep-Learning Powered AI for Poetry Generation with Author Linguistic Style Transfer
Alejandro Rodríguez Pascual
11
2
0
14 Dec 2021
SemanticStyleGAN: Learning Compositional Generative Priors for
  Controllable Image Synthesis and Editing
SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing
Yichun Shi
Xiao Yang
Yangyue Wan
Xiaohui Shen
GAN
145
83
0
04 Dec 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial
  and Survey
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
GAN
26
12
0
26 Nov 2021
A Probabilistic Hard Attention Model For Sequentially Observed Scenes
A Probabilistic Hard Attention Model For Sequentially Observed Scenes
Samrudhdhi B. Rangrej
James J. Clark
24
12
0
15 Nov 2021
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