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High-Fidelity Synthesis with Disentangled Representation

High-Fidelity Synthesis with Disentangled Representation

European Conference on Computer Vision (ECCV), 2020
13 January 2020
Wonkwang Lee
Donggyun Kim
Seunghoon Hong
Honglak Lee
    DRL
ArXiv (abs)PDFHTML

Papers citing "High-Fidelity Synthesis with Disentangled Representation"

31 / 31 papers shown
Closed-Loop Unsupervised Representation Disentanglement with $β$-VAE Distillation and Diffusion Probabilistic Feedback
Closed-Loop Unsupervised Representation Disentanglement with βββ-VAE Distillation and Diffusion Probabilistic Feedback
Xin Jin
Bo Li
Baao Xie
Wenyao Zhang
Jinming Liu
Ziqiang Li
Tao Yang
Wenjun Zeng
DRLDiffMCoGe
424
16
0
04 Feb 2024
Robust Sequential DeepFake Detection
Robust Sequential DeepFake DetectionInternational Journal of Computer Vision (IJCV), 2023
R. Shao
Tianxing Wu
Ziwei Liu
ViTAAML
279
25
0
26 Sep 2023
DOT-VAE: Disentangling One Factor at a Time
DOT-VAE: Disentangling One Factor at a TimeInternational Conference on Artificial Neural Networks (ICANN), 2022
Vaishnavi Patil
Matthew Evanusa
Joseph Jaja
CoGeDRLCML
288
1
0
19 Oct 2022
Disentangled Representation Learning Using ($β$-)VAE and GAN
Disentangled Representation Learning Using (βββ-)VAE and GAN
Mohammad Haghir Ebrahimabadi
OCLCoGeGANDRL
268
0
0
09 Aug 2022
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for
  Editable Portrait Image Synthesis
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image SynthesisEuropean Conference on Computer Vision (ECCV), 2022
Jeong-gi Kwak
Yuanming Li
Dongsik Yoon
Donghyeon Kim
D. Han
Hanseok Ko
279
29
0
21 Jul 2022
Detecting and Recovering Sequential DeepFake Manipulation
Detecting and Recovering Sequential DeepFake ManipulationEuropean Conference on Computer Vision (ECCV), 2022
Rui Shao
Tianxing Wu
Ziwei Liu
AAML
324
63
0
05 Jul 2022
3D-Aware Video Generation
3D-Aware Video Generation
Sherwin Bahmani
Jeong Joon Park
Despoina Paschalidou
Hao Tang
Gordon Wetzstein
Leonidas Guibas
Luc Van Gool
Radu Timofte
540
24
0
29 Jun 2022
SolarGAN: Synthetic Annual Solar Irradiance Time Series on Urban
  Building Facades via Deep Generative Networks
SolarGAN: Synthetic Annual Solar Irradiance Time Series on Urban Building Facades via Deep Generative NetworksEnergy and AI (EA), 2022
Yufei Zhang
A. Schlüter
C. Waibel
AI4CE
173
41
0
01 Jun 2022
Training and Evaluation of Deep Policies using Reinforcement Learning
  and Generative Models
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative ModelsJournal of machine learning research (JMLR), 2022
Ali Ghadirzadeh
Petra Poklukar
Karol Arndt
Chelsea Finn
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
209
2
0
18 Apr 2022
GIRAFFE HD: A High-Resolution 3D-aware Generative Model
GIRAFFE HD: A High-Resolution 3D-aware Generative ModelComputer Vision and Pattern Recognition (CVPR), 2022
Yang Xue
Yuheng Li
Krishna Kumar Singh
Yong Jae Lee
239
112
0
28 Mar 2022
Symmetry-Based Representations for Artificial and Biological General
  Intelligence
Symmetry-Based Representations for Artificial and Biological General IntelligenceFrontiers in Computational Neuroscience (Front. Comput. Neurosci.), 2022
I. Higgins
S. Racanière
Danilo Jimenez Rezende
AI4CE
275
54
0
17 Mar 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from
  Low-Dimensional Latents
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey
Avideep Mukherjee
Piyush Rai
Abhishek Kumar
DiffM
630
149
0
02 Jan 2022
Cluster-guided Image Synthesis with Unconditional Models
Cluster-guided Image Synthesis with Unconditional ModelsComputer Vision and Pattern Recognition (CVPR), 2021
Markos Georgopoulos
James Oldfield
Grigorios G. Chrysos
Yannis Panagakis
GAN
235
7
0
24 Dec 2021
Tensor Component Analysis for Interpreting the Latent Space of GANs
Tensor Component Analysis for Interpreting the Latent Space of GANs
James Oldfield
Markos Georgopoulos
Yannis Panagakis
M. Nicolaou
Ioannis Patras
GAN
194
18
0
23 Nov 2021
STEEX: Steering Counterfactual Explanations with Semantics
STEEX: Steering Counterfactual Explanations with Semantics
P. Jacob
Éloi Zablocki
H. Ben-younes
Mickaël Chen
P. Pérez
Matthieu Cord
371
49
0
17 Nov 2021
WarpedGANSpace: Finding non-linear RBF paths in GAN latent space
WarpedGANSpace: Finding non-linear RBF paths in GAN latent spaceIEEE International Conference on Computer Vision (ICCV), 2021
Christos Tzelepis
Georgios Tzimiropoulos
Ioannis Patras
283
66
0
27 Sep 2021
StyleFusion: A Generative Model for Disentangling Spatial Segments
StyleFusion: A Generative Model for Disentangling Spatial Segments
Omer Kafri
Or Patashnik
Yuval Alaluf
Daniel Cohen-Or
268
37
0
15 Jul 2021
EigenGAN: Layer-Wise Eigen-Learning for GANs
EigenGAN: Layer-Wise Eigen-Learning for GANsIEEE International Conference on Computer Vision (ICCV), 2021
Zhenliang He
Meina Kan
Shiguang Shan
GAN
252
54
0
26 Apr 2021
CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields
CAMPARI: Camera-Aware Decomposed Generative Neural Radiance FieldsInternational Conference on 3D Vision (3DV), 2021
Michael Niemeyer
Andreas Geiger
VGen3DH
272
67
0
31 Mar 2021
Learning Disentangled Representation by Exploiting Pretrained Generative
  Models: A Contrastive Learning View
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning ViewInternational Conference on Learning Representations (ICLR), 2021
Xuanchi Ren
Tao Yang
Yuwang Wang
W. Zeng
CoGeOCLDRL
449
52
0
21 Feb 2021
Towards Building A Group-based Unsupervised Representation
  Disentanglement Framework
Towards Building A Group-based Unsupervised Representation Disentanglement FrameworkInternational Conference on Learning Representations (ICLR), 2021
Tao Yang
Xuanchi Ren
Yuwang Wang
W. Zeng
Nanning Zheng
CoGeDRL
260
35
0
20 Feb 2021
AVAE: Adversarial Variational Auto Encoder
AVAE: Adversarial Variational Auto EncoderInternational Conference on Pattern Recognition (ICPR), 2020
Antoine Plumerault
Hervé Le Borgne
C´eline Hudelot
GANDRL
202
20
0
21 Dec 2020
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature
  Fields
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature FieldsComputer Vision and Pattern Recognition (CVPR), 2020
Michael Niemeyer
Andreas Geiger
OCL
811
1,061
0
24 Nov 2020
Image GANs meet Differentiable Rendering for Inverse Graphics and
  Interpretable 3D Neural Rendering
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural RenderingInternational Conference on Learning Representations (ICLR), 2020
Yuxuan Zhang
Wenzheng Chen
Huan Ling
Jun Gao
Yinan Zhang
Antonio Torralba
Sanja Fidler
DRL
574
140
0
18 Oct 2020
Privacy-preserving Voice Analysis via Disentangled Representations
Privacy-preserving Voice Analysis via Disentangled Representations
Ranya Aloufi
Hamed Haddadi
David E. Boyle
DRL
363
65
0
29 Jul 2020
Data-efficient visuomotor policy training using reinforcement learning
  and generative models
Data-efficient visuomotor policy training using reinforcement learning and generative models
Ali Ghadirzadeh
Petra Poklukar
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
261
9
0
26 Jul 2020
Unsupervised Controllable Generation with Self-Training
Unsupervised Controllable Generation with Self-TrainingIEEE International Joint Conference on Neural Network (IJCNN), 2020
Grigorios G. Chrysos
Jean Kossaifi
Zhiding Yu
Anima Anandkumar
GAN
188
4
0
17 Jul 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Katja Schwarz
Yiyi Liao
Michael Niemeyer
Andreas Geiger
VGen
802
968
0
05 Jul 2020
Disentangling by Subspace Diffusion
Disentangling by Subspace DiffusionNeural Information Processing Systems (NeurIPS), 2020
David Pfau
I. Higgins
Aleksandar Botev
S. Racanière
DiffMDRL
365
40
0
23 Jun 2020
CONFIG: Controllable Neural Face Image Generation
CONFIG: Controllable Neural Face Image GenerationEuropean Conference on Computer Vision (ECCV), 2020
Marek Kowalski
Stephan J. Garbin
V. Estellers
T. Baltrušaitis
Matthew W. Johnson
Jamie Shotton
DRL3DHCVBM
444
97
0
06 May 2020
Unsupervised Discovery of Interpretable Directions in the GAN Latent
  Space
Unsupervised Discovery of Interpretable Directions in the GAN Latent SpaceInternational Conference on Machine Learning (ICML), 2020
A. Voynov
Artem Babenko
490
460
0
10 Feb 2020
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