Improved Techniques for Training GANs

10 June 2016

Papers citing "Improved Techniques for Training GANs"

50 / 4,102 papers shown

Title
Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS Myeongji Ko Yong-Hoon Choi DiffM 72 1 0 03 Aug 2023
Patched Denoising Diffusion Models For High-Resolution Image Synthesis Zheng Ding Mengqi Zhang Jiajun Wu Zhuowen Tu DiffM 89 35 0 02 Aug 2023
Feature-aware conditional GAN for category text generation Xinze Li K. Mao Fanfan Lin Zijian Feng GAN 61 17 0 02 Aug 2023
Metrics to Quantify Global Consistency in Synthetic Medical Images Daniel Scholz Benedikt Wiestler Daniel Rueckert Martin J. Menten MedIm 97 1 0 01 Aug 2023
A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation Minghao Chen Ze-Feng Gao Shuai Zhao Qibo Qiu Wenxiao Wang Binbin Lin Xiaofei He 47 1 0 01 Aug 2023
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models Weikang Yu Yonghao Xu Pedram Ghamisi 108 4 0 31 Jul 2023
UnIVAL: Unified Model for Image, Video, Audio and Language Tasks Mustafa Shukor Corentin Dancette Alexandre Ramé Matthieu Cord MoMe MLLM 126 46 0 30 Jul 2023
Trajectory-aware Principal Manifold Framework for Data Augmentation and Image Generation E. Cui Bingbin Li Yanan Li Weng Kee Wong Donghui Wang MedIm 52 1 0 30 Jul 2023
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation Zekun Qi Muzhou Yu Runpei Dong Kaisheng Ma 3DPC 78 15 0 28 Jul 2023
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search A. Chebykin A. Dushatskiy Tanja Alderliesten Peter A. N. Bosman 91 1 0 28 Jul 2023
ETHER: Aligning Emergent Communication for Hindsight Experience Replay Kevin Denamganai Daniel Hernández Ozan Vardal S. Missaoui James Alfred Walker 51 0 0 28 Jul 2023
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis Conor Hassan Roberto Salomone Kerrie Mengersen 81 6 0 28 Jul 2023
Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals Yu-Ting Lan Kan Ren Yansen Wang Wei-Long Zheng Dongsheng Li Bao-Liang Lu Lili Qiu DiffM 118 22 0 27 Jul 2023
Training Quantum Boltzmann Machines with Coresets Joshua Viszlai T. Tomesh P. Gokhale Eric R. Anschuetz Frederic T. Chong 48 0 0 26 Jul 2023
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot Milad Abdollahzadeh Touba Malekzadeh Christopher T. H. Teo Keshigeyan Chandrasegaran Guimeng Liu Ngai-Man Cheung VLM MedIm 127 24 0 26 Jul 2023
Composite Diffusion \| whole >= Σparts Vikram Jamwal S. Ramaneswaran DiffM 66 0 0 25 Jul 2023
Fashion Matrix: Editing Photos by Just Talking Zheng Chong Xujie Zhang Fuwei Zhao Zhenyu Xie Xiaodan Liang DiffM 71 2 0 25 Jul 2023
Adversarial Deep Hedging: Learning to Hedge without Price Process Modeling Masanori Hirano Kentaro Minami Kentaro Imajo GAN 81 4 0 25 Jul 2023
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review Aghiles Kebaili J. Lapuyade-Lahorgue S. Ruan MedIm 88 157 0 24 Jul 2023
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models Xuelong Dai Kaisheng Liang Bin Xiao DiffM 115 29 0 24 Jul 2023
Progressive distillation diffusion for raw music generation Svetlana Pavlova DiffM 67 0 0 20 Jul 2023
Diffusion Models for Probabilistic Deconvolution of Galaxy Images Zhiwei Xue Yuhang Li Yash J. Patel Jeffrey Regier DiffM 113 5 0 20 Jul 2023
Human Motion Generation: A Survey Wentao Zhu Xiaoxuan Ma Dongwoo Ro Hai Ci Jinlu Zhang Jiaxin Shi Feng Gao Qi Tian Yizhou Wang VGen 152 60 0 20 Jul 2023
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis Jiajie Fan L. Vuaille Hongya Wang Thomas Bäck AI4CE 66 6 0 19 Jul 2023
Adversarial Likelihood Estimation With One-Way Flows Omri Ben-Dov Pravir Singh Gupta Victoria Fernandez-Abrevaya Michael J. Black Partha Ghosh GAN DRL 58 0 0 19 Jul 2023
Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation Federico Betti Jacopo Staiano Lorenzo Baraldi Lorenzo Baraldi Rita Cucchiara N. Sebe EGVM 48 7 0 18 Jul 2023
Survey on Controlable Image Synthesis with Deep Learning Shixiong Zhang Jiao Li Lu Yang 3DV 71 1 0 18 Jul 2023
Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data Kai Katsumata D. Vo Tatsuya Harada Hideki Nakayama 69 0 0 17 Jul 2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling Tianyang Hu Fei Chen Hong Wang Jiawei Li Wei Cao Jiacheng Sun Zechao Li DiffM 118 10 0 17 Jul 2023
Improving Nonalcoholic Fatty Liver Disease Classification Performance With Latent Diffusion Models Romain Hardy Joe Klepich Ryan Mitchell Steve Hall Jericho Villareal C. Ilin MedIm 41 7 0 13 Jul 2023
TIAM -- A Metric for Evaluating Alignment in Text-to-Image Generation P. Grimal Hervé Le Borgne Olivier Ferret Julien Tourille EGVM 133 12 0 11 Jul 2023
VampNet: Music Generation via Masked Acoustic Token Modeling Hugo Flores Garcia Prem Seetharaman Rithesh Kumar Bryan Pardo MGen 93 68 0 10 Jul 2023
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment Guoyang Xie Jinbao Wang Yawen Huang Jiayi Lyu Feng Zheng Yefeng Zheng Yaochu Jin 57 0 0 10 Jul 2023
Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance Paul Kuo-Ming Huang Si-An Chen Hsuan-Tien Lin 55 0 0 09 Jul 2023
PanoDiffusion: 360-degree Panorama Outpainting via Diffusion Tianhao Wu Chuanxia Zheng Tat-Jen Cham DiffM 89 22 0 06 Jul 2023
On the Adversarial Robustness of Generative Autoencoders in the Latent Space Mingfei Lu Badong Chen AAML DRL 70 3 0 05 Jul 2023
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks Jingwei Zhang Han Shi Jincheng Yu Enze Xie Zhenguo Li DiffM 70 3 0 05 Jul 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis Dustin Podell Zion English Kyle Lacey A. Blattmann Tim Dockhorn Jonas Muller Joe Penna Robin Rombach 302 2,457 0 04 Jul 2023
ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning Gulcin Baykal Halil Faruk Karagoz T. Binhuraib Gözde B. Ünal VLM DiffM 55 4 0 04 Jul 2023
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow Chuqi Chen Yue Wu Yang Xiang GAN 48 0 0 04 Jul 2023
Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection Delyan Boychev AAML 73 1 0 04 Jul 2023
Disentanglement in a GAN for Unconditional Speech Synthesis Matthew Baas Herman Kamper DiffM 81 4 0 04 Jul 2023
MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion Shitao Tang Fuyang Zhang Jiacheng Chen Peng Wang Yasutaka Furukawa 131 156 0 03 Jul 2023
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis Abdallah Alshantti Damiano Varagnolo Adil Rasheed Aria Rahmati Frank Westad 69 6 0 01 Jul 2023
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs Lijun Yu Yong Cheng Zhiruo Wang Vivek Kumar Wolfgang Macherey ... Yonatan Bisk Ming-Hsuan Yang Kevin Patrick Murphy Alexander G. Hauptmann Lu Jiang MLLM 97 52 0 30 Jun 2023
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis Zhaoshan Liu Qiujie Lv Yifan Li Ziduo Yang Leizhao Shen MedIm 76 13 0 30 Jun 2023
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation Zibo Zhao Wen Liu Xin Chen Xi Zeng Rui Wang Pei Cheng Bin-Bin Fu Tao Chen Gang Yu Shenghua Gao DiffM 155 107 0 29 Jun 2023
Spiking Denoising Diffusion Probabilistic Models Jiahang Cao Ziqing Wang Hanzhong Guo Haotai Cheng Qiang Zhang Renjing Xu DiffM 97 19 0 29 Jun 2023
CLIPAG: Towards Generator-Free Text-to-Image Generation Roy Ganz Michael Elad VLM 82 8 0 29 Jun 2023
NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency Yujin Kim Do-Young Park Dohee Kim Suhyun Kim DiffM 93 9 0 29 Jun 2023