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Discriminative Regularization for Generative Models

9 February 2016

Aaron Courville

Papers citing "Discriminative Regularization for Generative Models"

30 / 30 papers shown

Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation

338

10 May 2024

Reversing Image Signal Processors by Reverse Style Transferring

Furkan Kinli

B. Özcan

Mustafa Furkan Kıraç

233

17 Oct 2022

Multimodal Image Synthesis and Editing: The Generative AI EraIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021

715

27 Dec 2021

Achieving Explainability for Plant Disease Classification with Disentangled Variational AutoencodersEngineering applications of artificial intelligence (EAAI), 2021

Harshana Habaragamuwa

Y. Oishi

Kenichi Tanaka

352

05 Feb 2021

Taming Transformers for High-Resolution Image SynthesisComputer Vision and Pattern Recognition (CVPR), 2020

1.0K

4,118

17 Dec 2020

Melody-Conditioned Lyrics Generation with SeqGANsIEEE International Symposium on Multimedia (ISM), 2020

Yihao Chen

Alexander Lerch

GAN MGen

226

28 Oct 2020

Sound2Sight: Generating Visual Dynamics from Sound and ContextEuropean Conference on Computer Vision (ECCV), 2020

295

23 Jul 2020

Light Field Synthesis by Training Deep Network in the Refocused Image DomainIEEE Transactions on Image Processing (TIP), 2019

300

14 Oct 2019

Visual Robot Task Planning

347

30 Mar 2018

Task-Aware Compressed Sensing with Generative Adversarial Networks

219

05 Feb 2018

Hierarchical Adversarially Learned Inference

Mohamed Ishmael Belghazi

Aaron Courville

249

04 Feb 2018

Hybrid VAE: Improving Deep Generative Models using Partial Observations

Sergey Tulyakov

Andrew Fitzgibbon

Sebastian Nowozin

DRL

221

30 Nov 2017

Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network

218

16 Nov 2017

Guiding InfoGAN with Semi-Supervision

Adrian Spurr

Emre Aksan

Otmar Hilliges

GAN

218

14 Jul 2017

GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures

258

14 Jul 2017

Transformation-Grounded Image Generation Network for Novel 3D View Synthesis

318

290

08 Mar 2017

Generative Compression

Shibani Santurkar

David Budden

Nir Shavit

VGen DiffM GAN

300

202

04 Mar 2017

Towards Deeper Understanding of Variational Autoencoding Models

287

163

28 Feb 2017

Stacked Generative Adversarial Networks

497

468

13 Dec 2016

Improving Sampling from Generative Autoencoders with Markov Chains

Antonia Creswell

Kai Arulkumaran

Anil Anthony Bharath

BDL SyDa GAN

305

28 Oct 2016

Deep Feature Consistent Variational Autoencoder

159

02 Oct 2016

Neural Photo Editing with Introspective Adversarial Networks

522

475

22 Sep 2016

Sampling Generative Networks

Tom White

GAN

319

14 Sep 2016

Learning a Driving Simulator

Eder Santana

George Hotz

GAN

290

231

03 Aug 2016

Constructing a Natural Language Inference Dataset using Generative Neural Networks

Janez Starc

Dunja Mladenić

285

20 Jul 2016

Drawing and Recognizing Chinese Characters with Recurrent Neural Network

330

347

21 Jun 2016

Towards a Neural StatisticianInternational Conference on Learning Representations (ICLR), 2016

Harrison Edwards

Amos Storkey

BDL

438

439

07 Jun 2016

Adversarially Learned InferenceInternational Conference on Learning Representations (ICLR), 2016

Aaron Courville

1.0K

1,338

02 Jun 2016

Generating Images with Perceptual Similarity Metrics based on Deep Networks

Alexey Dosovitskiy

Thomas Brox

DRL GAN

583

1,191

08 Feb 2016

Super-Resolution with Deep Convolutional Sufficient Statistics

Joan Bruna

Pablo Sprechmann

Yann LeCun

SupR

415

338

18 Nov 2015