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2004.02088
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Feature Quantization Improves GAN Training
International Conference on Machine Learning (ICML), 2020
5 April 2020
Yang Zhao
Chunyuan Li
Ping Yu
Jianfeng Gao
Changyou Chen
MQ
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Papers citing
"Feature Quantization Improves GAN Training"
31 / 31 papers shown
Flow Generator Matching
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One-Step Diffusion Distillation through Score Implicit Matching
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Zemin Huang
Zhengyang Geng
J. Zico Kolter
Guo-Jun Qi
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22 Oct 2024
Compress Guidance in Conditional Diffusion Sampling
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Daochang Liu
Chang Xu
194
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20 Aug 2024
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
AAAI Conference on Artificial Intelligence (AAAI), 2024
Bingdong Li
Zixiang Di
Yongfan Lu
Hong Qian
Feng Wang
Peng Yang
Ke Tang
Aimin Zhou
DiffM
360
11
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14 May 2024
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Weijian Luo
Tianyang Hu
Shifeng Zhang
Jiacheng Sun
Zhenguo Li
Zhihua Zhang
379
211
0
29 May 2023
StyleGenes: Discrete and Efficient Latent Distributions for GANs
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Evangelos Ntavelis
Mohamad Shahbazi
I. Kastanis
Radu Timofte
Martin Danelljan
Luc Van Gool
321
2
0
30 Apr 2023
EGC: Image Generation and Classification via a Diffusion Energy-Based Model
IEEE International Conference on Computer Vision (ICCV), 2023
Qiushan Guo
Chuofan Ma
Yi Jiang
Zehuan Yuan
Yizhou Yu
Ping Luo
DiffM
417
16
0
04 Apr 2023
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yang Zhao
Jianwen Xie
Ping Li
GAN
334
3
0
21 Mar 2023
Brain Tumor Synthetic Data Generation with Adaptive StyleGANs
Irish Conference on Artificial Intelligence and Cognitive Science (IAICS), 2022
Usama Tariq
Rizwan Qureshi
Ana Zafar
Danyal Aftab
Jia Wu
Tanvirul Alam
Zubair Shah
Hazrat Ali
MedIm
306
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0
04 Dec 2022
Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions
Propellants, explosives, pyrotechnics (PEP), 2022
Joseph B. Choi
Phong C. H. Nguyen
O. Sen
H. Udaykumar
Stephen Seung-Yeob Baek
PINN
AI4CE
349
31
0
15 Nov 2022
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Minguk Kang
Joonghyuk Shin
Jaesik Park
EGVM
375
96
0
19 Jun 2022
TL-GAN: Improving Traffic Light Recognition via Data Synthesis for Autonomous Driving
Danfeng Wang
Xinlong Ma
Xiaodong Yang
255
5
0
28 Mar 2022
Robust Vector Quantized-Variational Autoencoder
Chieh-Hsin Lai
Dongmian Zou
Gilad Lerman
DRL
354
6
0
04 Feb 2022
Manifold Learning Benefits GANs
Computer Vision and Pattern Recognition (CVPR), 2021
Yao Ni
Piotr Koniusz
Leonid Sigal
Richard Nock
GAN
321
19
0
23 Dec 2021
The Nuts and Bolts of Adopting Transformer in GANs
Rui Xu
Xiangyu Xu
Kai-xiang Chen
Bolei Zhou
Chen Change Loy
ViT
388
4
0
25 Oct 2021
Conditional GANs with Auxiliary Discriminative Classifier
International Conference on Machine Learning (ICML), 2021
Liang Hou
Qi Cao
Huawei Shen
Siyuan Pan
Xiaoshuang Li
Xueqi Cheng
GAN
473
49
0
21 Jul 2021
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
International Conference on Machine Learning (ICML), 2021
Tomoki Watanabe
Paolo Favaro
GAN
206
3
0
18 Jun 2021
Self-Supervised GANs with Label Augmentation
Liang Hou
Huawei Shen
Qi Cao
Xueqi Cheng
490
21
0
16 Jun 2021
Styleformer: Transformer based Generative Adversarial Networks with Style Vector
Computer Vision and Pattern Recognition (CVPR), 2021
Jeeseung Park
Younggeun Kim
ViT
367
61
0
13 Jun 2021
Training GANs with Stronger Augmentations via Contrastive Discriminator
International Conference on Learning Representations (ICLR), 2021
Jongheon Jeong
Jinwoo Shin
294
68
0
17 Mar 2021
Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data
Journal of Supercomputing (JS), 2021
Massimiliano Lupo Pasini
Vittorio Gabbi
Junqi Yin
S. Perotto
N. Laanait
GAN
AI4CE
250
4
0
21 Feb 2021
Improved Denoising Diffusion Probabilistic Models
International Conference on Machine Learning (ICML), 2021
Alex Nichol
Prafulla Dhariwal
DiffM
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18 Feb 2021
Unpaired Image-to-Image Translation via Latent Energy Transport
Computer Vision and Pattern Recognition (CVPR), 2020
Yang Zhao
Changyou Chen
410
30
0
01 Dec 2020
Omni-GAN: On the Secrets of cGANs and Beyond
IEEE International Conference on Computer Vision (ICCV), 2020
P. Zhou
Lingxi Xie
Bingbing Ni
Cong Geng
Qi Tian
GAN
407
22
0
26 Nov 2020
not-so-BigGAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution
Seung-Jun Han
Akash Srivastava
C. Hurwitz
P. Sattigeri
David D. Cox
179
10
0
09 Sep 2020
Instance Selection for GANs
Neural Information Processing Systems (NeurIPS), 2020
Terrance Devries
M. Drozdzal
Graham W. Taylor
371
41
0
30 Jul 2020
Structure-Aware Human-Action Generation
Ping Yu
Yang Zhao
Chunyuan Li
Junsong Yuan
Changyou Chen
GNN
340
47
0
04 Jul 2020
Latent Video Transformer
Ruslan Rakhimov
Denis Volkhonskiy
Alexey Artemov
Denis Zorin
Evgeny Burnaev
VGen
323
134
0
18 Jun 2020
Training Generative Adversarial Networks with Limited Data
Neural Information Processing Systems (NeurIPS), 2020
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
818
2,202
0
11 Jun 2020
Detached Error Feedback for Distributed SGD with Random Sparsification
International Conference on Machine Learning (ICML), 2020
An Xu
Heng-Chiao Huang
293
12
0
11 Apr 2020
Adversarial Discriminative Domain Adaptation
Computer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
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5,156
0
17 Feb 2017
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