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Differentiable Augmentation for Data-Efficient GAN Training

Differentiable Augmentation for Data-Efficient GAN Training

18 June 2020
Shengyu Zhao
Zhijian Liu
Ji Lin
Jun-Yan Zhu
Song Han
ArXivPDFHTML

Papers citing "Differentiable Augmentation for Data-Efficient GAN Training"

50 / 105 papers shown
Title
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
Zijing Hu
Fengda Zhang
Long Chen
Kun Kuang
Jiahui Li
Kaifeng Gao
Jun Xiao
X. Wang
Wenwu Zhu
EGVM
51
0
0
14 Mar 2025
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
Kathleen Anderson
Thomas Martinetz
CVBM
68
0
0
12 Mar 2025
Transfer Learning with Pre-trained Conditional Generative Models
Transfer Learning with Pre-trained Conditional Generative Models
Shinýa Yamaguchi
Sekitoshi Kanai
Atsutoshi Kumagai
Daiki Chijiwa
H. Kashima
VLM
CLL
BDL
DiffM
127
5
0
21 Feb 2025
Block Flow: Learning Straight Flow on Data Blocks
Block Flow: Learning Straight Flow on Data Blocks
Zibin Wang
Zhiyuan Ouyang
Xiangyun Zhang
31
0
0
20 Jan 2025
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
H. Chen
Z. Wang
X. Li
X. Sun
Fangyi Chen
Jiang Liu
J. Wang
Bhiksha Raj
Zicheng Liu
Emad Barsoum
VLM
111
6
0
14 Dec 2024
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling
Xin Xie
Dong Gong
82
1
0
01 Dec 2024
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
Baoren Xiao
Hao Ni
Weixin Yang
GAN
44
0
0
27 May 2024
CCDM: Continuous Conditional Diffusion Models for Image Generation
CCDM: Continuous Conditional Diffusion Models for Image Generation
Xin Ding
Member Ieee Yongwei Wang
Kao Zhang
F. I. Z. Jane Wang
DiffM
19
3
0
06 May 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen
Xinyang Jiang
Yezhen Wang
Yifan Yang
Dongqi Han
Dongsheng Li
FaML
23
5
0
19 Mar 2024
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs
Artem Sevastopolsky
Philip-William Grassal
Simon Giebenhain
ShahRukh Athar
Luisa Verdoliva
Matthias Niessner
3DH
50
4
0
21 Dec 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
36
3
0
23 Nov 2023
Customize StyleGAN with One Hand Sketch
Customize StyleGAN with One Hand Sketch
Shaocong Zhang
VLM
26
0
0
29 Oct 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
Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields
Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields
H. Song
Seokhun Choi
Hoseok Do
Chul Lee
Taehyeong Kim
DiffM
28
24
0
23 Aug 2023
Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations
Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations
Seogkyu Jeon
Bei Liu
Pilhyeon Lee
Kibeom Hong
Jianlong Fu
H. Byun
40
1
0
21 Aug 2023
Stylized Projected GAN: A Novel Architecture for Fast and Realistic
  Image Generation
Stylized Projected GAN: A Novel Architecture for Fast and Realistic Image Generation
Md Nurul Muttakin
Malik Shahid Sultan
R. Hoehndorf
H. Ombao
GAN
28
0
0
30 Jul 2023
Deep learning techniques for blind image super-resolution: A high-scale
  multi-domain perspective evaluation
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluation
Valdivino Alexandre de Santiago Júnior
29
0
0
15 Jun 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient
  Visual Reinforcement Learning
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
Guozheng Ma
Linrui Zhang
Haoyu Wang
Lu Li
Zilin Wang
Zhen Wang
Li Shen
Xueqian Wang
Dacheng Tao
40
10
0
25 May 2023
Few-shot 3D Shape Generation
Few-shot 3D Shape Generation
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
28
1
0
19 May 2023
WeditGAN: Few-Shot Image Generation via Latent Space Relocation
WeditGAN: Few-Shot Image Generation via Latent Space Relocation
Yuxuan Duan
Li Niu
Y. Hong
Liqing Zhang
53
12
0
11 May 2023
SP-BatikGAN: An Efficient Generative Adversarial Network for Symmetric
  Pattern Generation
SP-BatikGAN: An Efficient Generative Adversarial Network for Symmetric Pattern Generation
Chrystian
Wahyono
GAN
13
3
0
19 Apr 2023
NoisyTwins: Class-Consistent and Diverse Image Generation through
  StyleGANs
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs
Harsh Rangwani
Lavish Bansal
Kartik Sharma
Tejan Karmali
Varun Jampani
R. Venkatesh Babu
20
13
0
12 Apr 2023
Towards Realistic Ultrasound Fetal Brain Imaging Synthesis
Towards Realistic Ultrasound Fetal Brain Imaging Synthesis
Michelle Iskandar
Harvey Mannering
Zhanxiang Sun
Jacqueline Matthew
H. Kerdegari
L. Pereira
Miguel P. Xochicale
MedIm
23
8
0
08 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature
  Review
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review
Li Shen
Yan Sun
Zhiyuan Yu
Liang Ding
Xinmei Tian
Dacheng Tao
VLM
28
40
0
07 Apr 2023
Enhancing Multiple Reliability Measures via Nuisance-extended
  Information Bottleneck
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
Jongheon Jeong
Sihyun Yu
Hankook Lee
Jinwoo Shin
AAML
36
0
0
24 Mar 2023
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
Yuxuan Duan
Y. Hong
Li Niu
Liqing Zhang
26
51
0
04 Mar 2023
Balanced Training for Sparse GANs
Balanced Training for Sparse GANs
Yite Wang
Jing Wu
N. Hovakimyan
Ruoyu Sun
32
9
0
28 Feb 2023
Texturize a GAN Using a Single Image
Pengda Xiang
Sitao Xiang
Yajie Zhao
GAN
28
0
0
21 Feb 2023
Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask
Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask
Shangzhan Zhang
Sida Peng
Tianrun Chen
Linzhan Mou
Haotong Lin
Kaicheng Yu
Yiyi Liao
Xiaowei Zhou
52
8
0
14 Feb 2023
Effective Data Augmentation With Diffusion Models
Effective Data Augmentation With Diffusion Models
Brandon Trabucco
Kyle Doherty
Max Gurinas
Ruslan Salakhutdinov
VLM
DiffM
25
231
0
07 Feb 2023
Sample Complexity of Probability Divergences under Group Symmetry
Sample Complexity of Probability Divergences under Group Symmetry
Ziyu Chen
M. Katsoulakis
Luc Rey-Bellet
Weixia Zhu
20
10
0
03 Feb 2023
Stable Attribute Group Editing for Reliable Few-shot Image Generation
Stable Attribute Group Editing for Reliable Few-shot Image Generation
Guanqi Ding
Xinzhe Han
Shuhui Wang
Xin Jin
Dandan Tu
Qingming Huang
29
9
0
01 Feb 2023
Extracting Training Data from Diffusion Models
Extracting Training Data from Diffusion Models
Nicholas Carlini
Jamie Hayes
Milad Nasr
Matthew Jagielski
Vikash Sehwag
Florian Tramèr
Borja Balle
Daphne Ippolito
Eric Wallace
DiffM
63
569
0
30 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models
Minimizing Trajectory Curvature of ODE-based Generative Models
Sangyun Lee
Beomsu Kim
Jong Chul Ye
32
53
0
27 Jan 2023
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale
  Text-to-Image Synthesis
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
Axel Sauer
Tero Karras
S. Laine
Andreas Geiger
Timo Aila
29
206
0
23 Jan 2023
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with
  Limited Data
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data
Tiantian Fang
Ruoyu Sun
A. Schwing
GAN
17
16
0
27 Nov 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Justin Cui
Ruochen Wang
Si Si
Cho-Jui Hsieh
DD
20
129
0
19 Nov 2022
Few-shot Image Generation with Diffusion Models
Few-shot Image Generation with Diffusion Models
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
32
20
0
07 Nov 2022
Few-shot Image Generation via Masked Discrimination
Few-shot Image Generation via Masked Discrimination
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
25
12
0
27 Oct 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with
  Limited Data
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
Jie Cao
Mandi Luo
Junchi Yu
Mingmin Yang
Ran He
27
4
0
27 Oct 2022
Images as Weight Matrices: Sequential Image Generation Through Synaptic
  Learning Rules
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules
Kazuki Irie
Jürgen Schmidhuber
32
5
0
07 Oct 2022
Content-Based Search for Deep Generative Models
Content-Based Search for Deep Generative Models
Daohan Lu
Sheng-Yu Wang
Nupur Kumari
Rohan Agarwal
Mia Tang
David Bau
Jun-Yan Zhu
DiffM
SyDa
32
5
0
06 Oct 2022
Visual Prompt Tuning for Generative Transfer Learning
Visual Prompt Tuning for Generative Transfer Learning
Kihyuk Sohn
Yuan Hao
José Lezama
Luisa F. Polanía
Huiwen Chang
Han Zhang
Irfan Essa
Lu Jiang
VPVLM
VLM
53
81
0
03 Oct 2022
Understanding Pure CLIP Guidance for Voxel Grid NeRF Models
Understanding Pure CLIP Guidance for Voxel Grid NeRF Models
Han-Hung Lee
Angel X. Chang
22
63
0
30 Sep 2022
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained
  Generative Models
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models
Chen Henry Wu
Saman Motamed
Shaunak Srivastava
Fernando De la Torre
VLM
DiffM
11
34
0
14 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu
Chengyue Gong
Qiang Liu
OOD
33
842
0
07 Sep 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier
  Guidance
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
Bahjat Kawar
Roy Ganz
Michael Elad
DiffM
21
38
0
18 Aug 2022
Rewriting Geometric Rules of a GAN
Rewriting Geometric Rules of a GAN
Sheng-Yu Wang
David Bau
Jun-Yan Zhu
29
35
0
28 Jul 2022
DC-BENCH: Dataset Condensation Benchmark
DC-BENCH: Dataset Condensation Benchmark
Justin Cui
Ruochen Wang
Si Si
Cho-Jui Hsieh
DD
29
71
0
20 Jul 2022
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity
  in Data-Efficient GANs
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs
Ziqiang Li
Chaoyue Wang
Heliang Zheng
Jing Zhang
Bin Li
26
23
0
18 Jul 2022
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