Image Augmentations for GAN Training

4 June 2020

Papers citing "Image Augmentations for GAN Training"

37 / 37 papers shown

Title
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
Few-shot 3D Shape Generation Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 28 1 0 19 May 2023
ContraNeRF: 3D-Aware Generative Model via Contrastive Learning with Unsupervised Implicit Pose Embedding Mijeong Kim Hyunjoon Lee Bohyung Han 29 0 0 27 Apr 2023
Multi-Concept Customization of Text-to-Image Diffusion Nupur Kumari Bin Zhang Richard Y. Zhang Eli Shechtman Jun-Yan Zhu 61 823 0 08 Dec 2022
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 40 20 0 07 Nov 2022
Few-shot Image Generation via Masked Discrimination Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan 27 12 0 27 Oct 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data Jie Cao Mandi Luo Junchi Yu Mingmin Yang Ran He 35 4 0 27 Oct 2022
Rewriting Geometric Rules of a GAN Sheng-Yu Wang David Bau Jun-Yan Zhu 40 35 0 28 Jul 2022
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs Ziqiang Li Chaoyue Wang Heliang Zheng Jing Zhang Bin Li 31 24 0 18 Jul 2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training Liang Hou Qi Cao Yige Yuan Songtao Zhao Chongyang Ma Siyuan Pan Pengfei Wan Xiaoshuang Li Huawei Shen Xueqi Cheng 23 7 0 31 May 2022
Multi-Augmentation for Efficient Visual Representation Learning for Self-supervised Pre-training Van-Nhiem Tran Chi-En Huang Shenxiu Liu Kaicheng Yang Timothy Ko Yung-Hui Li SSL 27 0 0 24 May 2022
A Closer Look at Few-shot Image Generation Yunqing Zhao Henghui Ding Houjing Huang Ngai-man Cheung 29 72 0 08 May 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 76 363 0 22 Mar 2022
Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment Jiayu Xiao Liang Li Chaofei Wang Zhengjun Zha Qingming Huang GAN 35 73 0 06 Mar 2022
Ensembling Off-the-shelf Models for GAN Training Nupur Kumari Richard Y. Zhang Eli Shechtman Jun-Yan Zhu 34 86 0 16 Dec 2021
One-Shot Generative Domain Adaptation Ceyuan Yang Yujun Shen Zhiyi Zhang Yinghao Xu Jiapeng Zhu Zhirong Wu Bolei Zhou 27 49 0 18 Nov 2021
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data Liming Jiang Bo Dai Wayne Wu Chen Change Loy 89 104 0 12 Nov 2021
Projected GANs Converge Faster Axel Sauer Kashyap Chitta Jens Muller Andreas Geiger 47 234 0 01 Nov 2021
Sketch Your Own GAN Sheng-Yu Wang David Bau Jun-Yan Zhu GAN 16 69 0 05 Aug 2021
Making Invisible Visible: Data-Driven Seismic Inversion with Spatio-temporally Constrained Data Augmentation Yuxin Yang Xitong Zhang Qiang Guan Youzuo Lin 32 15 0 22 Jun 2021
Particle Cloud Generation with Message Passing Generative Adversarial Networks Raghav Kansal Javier Mauricio Duarte Haoran Su B. Orzari T. Tomei M. Pierini M. Touranakou J. Vlimant Dimitrios Gunopulos 27 75 0 22 Jun 2021
Generative Feature-driven Image Replay for Continual Learning Kevin Thandiackal Tiziano Portenier Andrea Giovannini M. Gabrani O. Goksel CLL VLM DiffM 18 9 0 09 Jun 2021
Data-Efficient Instance Generation from Instance Discrimination Ceyuan Yang Yujun Shen Yinghao Xu Bolei Zhou 33 83 0 08 Jun 2021
A Good Image Generator Is What You Need for High-Resolution Video Synthesis Yu Tian Jian Ren Menglei Chai Kyle Olszewski Xi Peng Dimitris N. Metaxas Sergey Tulyakov VGen 51 183 0 30 Apr 2021
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains Yaxing Wang Abel Gonzalez-Garcia Chenshen Wu Luis Herranz F. Khan Shangling Jui Joost van de Weijer 32 6 0 28 Apr 2021
Regularizing Generative Adversarial Networks under Limited Data Hung-Yu Tseng Lu Jiang Ce Liu Ming-Hsuan Yang Weilong Yang GAN 35 142 0 07 Apr 2021
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression Xin Ding Z. J. Wang Zuheng Xu Z. Jane Wang William J. Welch 33 22 0 07 Apr 2021
ReMix: Towards Image-to-Image Translation with Limited Data Jie Cao Luanxuan Hou Ming-Hsuan Yang Ran He Zhenan Sun 26 24 0 31 Mar 2021
Dual Contrastive Loss and Attention for GANs Ning Yu Guilin Liu Aysegül Dündar Andrew Tao Bryan Catanzaro Larry S. Davis Mario Fritz GAN 34 60 0 31 Mar 2021
Training GANs with Stronger Augmentations via Contrastive Discriminator Jongheon Jeong Jinwoo Shin 30 65 0 17 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 41 481 0 08 Mar 2021
Cross-Modal Contrastive Learning for Text-to-Image Generation Han Zhang Jing Yu Koh Jason Baldridge Honglak Lee Yinfei Yang GAN 20 355 0 12 Jan 2021
Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics Raghav Kansal Javier Mauricio Duarte B. Orzari T. Tomei M. Pierini M. Touranakou J. Vlimant Dimitrios Gunopoulos GAN 21 24 0 30 Nov 2020
Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms Xin Ding Student Member Ieee Yongwei Wang Zuheng Xu William J. Welch F. I. Z. Jane Wang GAN VLM 40 27 0 15 Nov 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 69 1,856 0 11 Jun 2020
Improved Consistency Regularization for GANs Zhengli Zhao Sameer Singh Honglak Lee Zizhao Zhang Augustus Odena Han Zhang 32 153 0 11 Feb 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 294 10,354 0 12 Dec 2018