Large Scale GAN Training for High Fidelity Natural Image Synthesis

28 September 2018

Papers citing "Large Scale GAN Training for High Fidelity Natural Image Synthesis"

50 / 1,252 papers shown

Title
TriPlaneNet: An Encoder for EG3D Inversion A. Bhattarai Matthias Nießner Artem Sevastopolsky 48 34 0 23 Mar 2023
Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning Zhiwen Zuo Lei Zhao Ailin Li Zhizhong Wang Zhanjie Zhang Jiafu Chen Wei Xing Dongming Lu 45 19 0 23 Mar 2023
A Word is Worth a Thousand Pictures: Prompts as AI Design Material Chinmay Kulkarni Stefania Druga Minsuk Chang Alexander J. Fiannaca Carrie J. Cai Michael Terry 3DV 29 30 0 22 Mar 2023
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning Dayuan Jian Mohammad Rostami 36 14 0 22 Mar 2023
The Prompt Artists Minsuk Chang Stefania Druga Alexander J. Fiannaca P. Vergani Chinmay Kulkarni Carrie J. Cai Michael Terry 21 59 0 22 Mar 2023
NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models A. Shrivastava P. T. Fletcher DiffM MedIm 31 22 0 20 Mar 2023
A Recipe for Watermarking Diffusion Models Yunqing Zhao Tianyu Pang Chao Du Xiao Yang Ngai-man Cheung Min Lin WIGM 32 115 0 17 Mar 2023
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model Peng Jin Hao Li Ze-Long Cheng Kehan Li Xiang Ji Chang-rui Liu Li-ming Yuan Jie Chen DiffM VGen 35 54 0 17 Mar 2023
Denoising Diffusion Autoencoders are Unified Self-supervised Learners Weilai Xiang Hongyu Yang Di Huang Yunhong Wang DiffM 35 71 0 17 Mar 2023
Mimic3D: Thriving 3D-Aware GANs via 3D-to-2D Imitation Xingyu Chen Yu Deng Baoyuan Wang 37 14 0 16 Mar 2023
Unsupervised Traffic Scene Generation with Synthetic 3D Scene Graphs Artem Savkin Rachid Ellouze Nassir Navab F. Tombari 32 11 0 15 Mar 2023
Reference-Guided Large-Scale Face Inpainting with Identity and Texture Control Wuyang Luo Su Yang Weishan Zhang DiffM 52 10 0 13 Mar 2023
Progressive Open Space Expansion for Open-Set Model Attribution Tianyun Yang Danding Wang Fan Tang Xinying Zhao Juan Cao Sheng Tang 36 17 0 13 Mar 2023
ODIN: On-demand Data Formulation to Mitigate Dataset Lock-in SP Choi Jihun Lee HyeongSeok Ahn Sanghee Jung Bumsoo Kang VLM 29 0 0 13 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 38 509 0 07 Mar 2023
3D generation on ImageNet Ivan Skorokhodov Aliaksandr Siarohin Yinghao Xu Jian Ren Hsin-Ying Lee Peter Wonka Sergey Tulyakov 69 55 0 02 Mar 2023
Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models A. Rybchuk M. Hassanaly N. Hamilton P. Doubrawa Mitchell J. Fulton L. Martínez‐Tossas AI4CE DiffM 43 16 0 01 Mar 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 108 167 0 01 Mar 2023
TextIR: A Simple Framework for Text-based Editable Image Restoration Yun-Hao Bai Cairong Wang Shuzhao Xie Chao Dong Chun Yuan Zhi Wang DiffM 35 15 0 28 Feb 2023
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection Jian Shi Pengyi Zhang Ni Zhang Hakim Ghazzai Y. Massoud MedIm 45 6 0 28 Feb 2023
Balanced Training for Sparse GANs Yite Wang Jing Wu N. Hovakimyan Ruoyu Sun 53 9 0 28 Feb 2023
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties Nikolaos N. Vlassis WaiChing Sun AI4CE DiffM 27 46 0 24 Feb 2023
Disease Severity Regression with Continuous Data Augmentation Shumpei Takezaki Kiyohito Tanaka Seiichi Uchida T. Kadota MedIm GAN 14 3 0 24 Feb 2023
Attention Mechanism for Contrastive Learning in GAN-based Image-to-Image Translation Hanzhen Zhang Liguo Zhou Ruining Wang Alois Knoll 18 0 0 23 Feb 2023
Region-Aware Diffusion for Zero-shot Text-driven Image Editing Nisha Huang Fan Tang Weiming Dong Tong-Yee Lee Changsheng Xu DiffM 40 23 0 23 Feb 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC Yilun Du Conor Durkan Robin Strudel J. Tenenbaum Sander Dieleman Rob Fergus Jascha Narain Sohl-Dickstein Arnaud Doucet Will Grathwohl DiffM 32 133 0 22 Feb 2023
Texturize a GAN Using a Single Image Pengda Xiang Sitao Xiang Yajie Zhao GAN 28 0 0 21 Feb 2023
Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection Chu Zhou Jiajun Huang Daochang Liu Chengbin Du Siqi Ma Surya Nepal Chang Xu 36 0 0 21 Feb 2023
Prompt Stealing Attacks Against Text-to-Image Generation Models Xinyue Shen Y. Qu Michael Backes Yang Zhang 30 32 0 20 Feb 2023
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions Yunlong Wang Shuyuan Shen Brian Y. Lim 43 88 0 19 Feb 2023
Redes Generativas Adversarias (GAN) Fundamentos Teóricos y Aplicaciones J. D. L. Torre GAN 26 1 0 18 Feb 2023
3D-aware Conditional Image Synthesis Kangle Deng Gengshan Yang Deva Ramanan Sitong Su 33 29 0 16 Feb 2023
Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation Ruyu Wang Sabrina Hoppe Eduardo Monari Marco F. Huber 30 17 0 16 Feb 2023
Boundary Guided Learning-Free Semantic Control with Diffusion Models Ye Zhu Yuehua Wu Zhiwei Deng Olga Russakovsky Yan Yan DiffM 30 23 0 16 Feb 2023
Robust Unsupervised StyleGAN Image Restoration Yohan Poirier-Ginter Jean-François Lalonde 43 18 0 13 Feb 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 48 5 0 13 Feb 2023
Star-Shaped Denoising Diffusion Probabilistic Models Andrey Okhotin Dmitry Molchanov V. Arkhipkin Grigory Bartosh Viktor Ohanesian Aibek Alanov Dmitry Vetrov DiffM 45 12 0 10 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min Lin Weiwei Liu Shuicheng Yan DiffM 31 210 0 09 Feb 2023
Q-Diffusion: Quantizing Diffusion Models Xiuyu Li Yijia Liu Long Lian Hua Yang Zhen Dong Daniel Kang Shanghang Zhang Kurt Keutzer DiffM MQ 55 155 0 08 Feb 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov VLM DiffM 43 232 0 07 Feb 2023
High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets Yanbo Wang Chuming Lin Donghao Luo Ying Tai Zhizhong Zhang Yuan Xie 37 6 0 07 Feb 2023
Private GANs, Revisited Alex Bie Gautam Kamath Guojun Zhang 43 14 0 06 Feb 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed 31 28 0 06 Feb 2023
DITTO: Offline Imitation Learning with World Models Branton DeMoss Paul Duckworth Nick Hawes Ingmar Posner Ingmar Posner OffRL 21 18 0 06 Feb 2023
Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time Rudolf Herdt Maximilian Schmidt Daniel Otero Baguer Jean LeĆlerc Arrastia Peter Maass 30 2 0 04 Feb 2023
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks Bowen Tian Qinliang Su Jianxing Yu 25 2 0 03 Feb 2023
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 73 572 0 30 Jan 2023
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds Yeqing Lin Mohammed AlQuraishi DiffM AI4CE 30 75 0 29 Jan 2023
Don't Play Favorites: Minority Guidance for Diffusion Models Soo Bin Um Suhyeon Lee Jong Chul Ye DiffM 38 22 0 29 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 51 53 0 27 Jan 2023