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AutoGAN: Neural Architecture Search for Generative Adversarial Networks

AutoGAN: Neural Architecture Search for Generative Adversarial Networks

11 August 2019
Xinyu Gong
Shiyu Chang
Yifan Jiang
Zhangyang Wang
    GAN
ArXivPDFHTML

Papers citing "AutoGAN: Neural Architecture Search for Generative Adversarial Networks"

50 / 58 papers shown
Title
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance
Jiannan Huang
Jun Hao Liew
Hanshu Yan
Yuyang Yin
Yao Zhao
Yunchao Wei
Yunchao Wei
DiffM
90
6
0
27 May 2024
DiffiT: Diffusion Vision Transformers for Image Generation
DiffiT: Diffusion Vision Transformers for Image Generation
Ali Hatamizadeh
Jiaming Song
Guilin Liu
Jan Kautz
Arash Vahdat
31
66
0
04 Dec 2023
SMaRt: Improving GANs with Score Matching Regularity
SMaRt: Improving GANs with Score Matching Regularity
Mengfei Xia
Yujun Shen
Ceyuan Yang
Ran Yi
Wenping Wang
Yong-jin Liu
34
5
0
30 Nov 2023
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step
  Diffusion Models
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
Fei Kong
Jinhao Duan
Lichao Sun
Hao-Ran Cheng
Renjing Xu
Hengtao Shen
Xiao-lan Zhu
Xiaoshuang Shi
Kaidi Xu
41
3
0
23 Nov 2023
A Chronological Survey of Theoretical Advancements in Generative
  Adversarial Networks for Computer Vision
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision
Hrishikesh Sharma
AI4CE
EGVM
13
1
0
02 Nov 2023
UGC: Unified GAN Compression for Efficient Image-to-Image Translation
UGC: Unified GAN Compression for Efficient Image-to-Image Translation
Yuxi Ren
Jie Wu
Peng Zhang
Manlin Zhang
Xuefeng Xiao
Qian He
Rui Wang
Min Zheng
Xin Pan
24
2
0
17 Sep 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced
  Optimal Transport
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
Jaemoo Choi
Jaewoong Choi
Myung-joo Kang
OT
28
19
0
24 May 2023
Catch-Up Distillation: You Only Need to Train Once for Accelerating
  Sampling
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling
Shitong Shao
Xu Dai
Shouyi Yin
Lujun Li
Huanran Chen
Yang Hu
24
17
0
18 May 2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
Guihong Li
Yuedong Yang
Kartikeya Bhardwaj
R. Marculescu
36
60
0
26 Jan 2023
Exploring Content Relationships for Distilling Efficient GANs
Exploring Content Relationships for Distilling Efficient GANs
Lizhou You
Mingbao Lin
Tie Hu
Fei Chao
Rongrong Ji
30
3
0
21 Dec 2022
Adaptive adversarial training method for improving multi-scale GAN based
  on generalization bound theory
Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory
Jin-Lin Tang
B. Tao
Zeyu Gong
Zhoupin Yin
AI4CE
31
1
0
30 Nov 2022
A Self-adaptive Neuroevolution Approach to Constructing Deep Neural
  Network Architectures Across Different Types
A Self-adaptive Neuroevolution Approach to Constructing Deep Neural Network Architectures Across Different Types
Zhenhao Shuai
Hongbo Liu
Zhaolin Wan
Wei-jie Yu
Jinchao Zhang
19
3
0
27 Nov 2022
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive
  RAM-based Neural Network Accelerators
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators
Aditya Manglik
Minesh Patel
Haiyu Mao
Behzad Salami
Jisung Park
Lois Orosa
O. Mutlu
15
1
0
10 Nov 2022
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
Long Zhuo
Guangcong Wang
Shikai Li
Wayne Wu
Ziwei Liu
VGen
53
20
0
11 Jul 2022
Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs
Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs
Bo-Kyeong Kim
Shinkook Choi
Hancheol Park
13
4
0
29 Jun 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A
  Systematic Review
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
E. Olaniyi
Dong Chen
Yuzhen Lu
Ya-Yu Huang
21
38
0
10 Apr 2022
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware
  Adversarial Training
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training
Yuanhao Cai
Xiaowan Hu
Haoqian Wang
Yulun Zhang
Hanspeter Pfister
D. Wei
18
64
0
06 Apr 2022
Towards Less Constrained Macro-Neural Architecture Search
Towards Less Constrained Macro-Neural Architecture Search
Vasco Lopes
L. A. Alexandre
28
5
0
10 Mar 2022
Combining Optimal Path Search With Task-Dependent Learning in a Neural
  Network
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network
Tomas Kulvicius
M. Tamosiunaite
F. Worgotter
30
1
0
26 Jan 2022
Neural Architecture Search for Spiking Neural Networks
Neural Architecture Search for Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Priyadarshini Panda
26
88
0
23 Jan 2022
GhostNets on Heterogeneous Devices via Cheap Operations
GhostNets on Heterogeneous Devices via Cheap Operations
Kai Han
Yunhe Wang
Chang Xu
Jianyuan Guo
Chunjing Xu
Enhua Wu
Qi Tian
19
102
0
10 Jan 2022
RFormer: Transformer-based Generative Adversarial Network for Real
  Fundus Image Restoration on A New Clinical Benchmark
RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmark
Zhuo Deng
Yuanhao Cai
Lu Chen
Zheng Gong
Qiqi Bao
Xue Yao
D. Fang
Shaochong Zhang
Lan Ma
ViT
MedIm
30
53
0
03 Jan 2022
A Generic Approach for Enhancing GANs by Regularized Latent Optimization
A Generic Approach for Enhancing GANs by Regularized Latent Optimization
Yufan Zhou
Chunyuan Li
Changyou Chen
Jinhui Xu
27
0
0
07 Dec 2021
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial
  Networks
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
Vineeth S. Bhaskara
Tristan Aumentado-Armstrong
Allan D. Jepson
Alex Levinshtein
GAN
32
5
0
04 Nov 2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs
  Theory
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
T. Chen
Guan-Horng Liu
Evangelos A. Theodorou
DiffM
OT
174
163
0
21 Oct 2021
Gradient Normalization for Generative Adversarial Networks
Gradient Normalization for Generative Adversarial Networks
Yi-Lun Wu
Hong-Han Shuai
Zhi Rui Tam
H. Chiu
GAN
21
63
0
06 Sep 2021
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot
  Study
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study
Zhenyu Wu
Zhaowen Wang
Ye Yuan
Jianming Zhang
Zhangyang Wang
Hailin Jin
29
4
0
23 Jul 2021
Styleformer: Transformer based Generative Adversarial Networks with
  Style Vector
Styleformer: Transformer based Generative Adversarial Networks with Style Vector
Jeeseung Park
Younggeun Kim
ViT
26
48
0
13 Jun 2021
Score-based Generative Modeling in Latent Space
Score-based Generative Modeling in Latent Space
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
16
658
0
10 Jun 2021
Fourier Space Losses for Efficient Perceptual Image Super-Resolution
Fourier Space Losses for Efficient Perceptual Image Super-Resolution
Dario Fuoli
Luc Van Gool
Radu Timofte
20
111
0
01 Jun 2021
GANs Can Play Lottery Tickets Too
GANs Can Play Lottery Tickets Too
Xuxi Chen
Zhenyu (Allen) Zhang
Yongduo Sui
Tianlong Chen
GAN
19
58
0
31 May 2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
Hadjer Benmeziane
K. E. Maghraoui
Hamza Ouarnoughi
Smail Niar
Martin Wistuba
Naigang Wang
31
96
0
22 Jan 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
32
2
0
04 Jan 2021
Kernel Based Progressive Distillation for Adder Neural Networks
Kernel Based Progressive Distillation for Adder Neural Networks
Yixing Xu
Chang Xu
Xinghao Chen
Wei Zhang
Chunjing Xu
Yunhe Wang
35
47
0
28 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
31
79
0
17 Sep 2020
AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation
AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation
Xinyu Gong
Wuyang Chen
Yifan Jiang
Ye Yuan
Xianming Liu
Qian Zhang
Yuan Li
Zhangyang Wang
28
20
0
16 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis:
  Algorithms and Applications
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
Ming-Yu Liu
Xun Huang
Jiahui Yu
Ting-Chun Wang
Arun Mallya
GAN
28
153
0
06 Aug 2020
Off-Policy Reinforcement Learning for Efficient and Effective GAN
  Architecture Search
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search
Yuan Tian
Qin Wang
Zhiwu Huang
Wen Li
Dengxin Dai
Minghao Yang
Jun Wang
Olga Fink
OffRL
21
60
0
17 Jul 2020
AlphaGAN: Fully Differentiable Architecture Search for Generative
  Adversarial Networks
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks
Yuesong Tian
Li Shen
Li Shen
Guinan Su
Zhifeng Li
Wei Liu
GAN
31
32
0
16 Jun 2020
Few-shot Neural Architecture Search
Few-shot Neural Architecture Search
Yiyang Zhao
Linnan Wang
Yuandong Tian
Rodrigo Fonseca
Tian Guo
23
90
0
11 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
28
1,855
0
11 Jun 2020
On Data Augmentation for GAN Training
On Data Augmentation for GAN Training
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Trung-Kien Nguyen
Ngai-man Cheung
MedIm
18
35
0
09 Jun 2020
Efficient Architecture Search for Continual Learning
Efficient Architecture Search for Continual Learning
Qiang Gao
Zhipeng Luo
Diego Klabjan
CLL
30
47
0
07 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and
  Solutions
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Xiaojiang Chen
Xin Wang
AI4CE
48
653
0
01 Jun 2020
AutoSpeech: Neural Architecture Search for Speaker Recognition
AutoSpeech: Neural Architecture Search for Speaker Recognition
Shaojin Ding
Tianlong Chen
Xinyu Gong
Weiwei Zha
Zhangyang Wang
22
57
0
07 May 2020
L$^2$-GCN: Layer-Wise and Learned Efficient Training of Graph
  Convolutional Networks
L2^22-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Yuning You
Tianlong Chen
Zhangyang Wang
Yang Shen
GNN
101
82
0
30 Mar 2020
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation
Zhun Fan
Jiahong Wei
Guijie Zhu
Jiajie Mo
Wenji Li
24
8
0
18 Jan 2020
Neural Architecture Search for Deep Image Prior
Neural Architecture Search for Deep Image Prior
Kary Ho
Andrew Gilbert
Hailin Jin
John Collomosse
14
36
0
14 Jan 2020
Local Class-Specific and Global Image-Level Generative Adversarial
  Networks for Semantic-Guided Scene Generation
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Hao Tang
Dan Xu
Yan Yan
Philip H. S. Torr
N. Sebe
GAN
23
141
0
27 Dec 2019
FasterSeg: Searching for Faster Real-time Semantic Segmentation
FasterSeg: Searching for Faster Real-time Semantic Segmentation
Wuyang Chen
Xinyu Gong
Xianming Liu
Qian Zhang
Yuan Li
Zhangyang Wang
SSeg
OOD
19
189
0
23 Dec 2019
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