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 / 1,075 papers shown

Title
Boundary Guided Learning-Free Semantic Control with Diffusion Models Ye Zhu Yuehua Wu Zhiwei Deng Olga Russakovsky Yan Yan DiffM 25 23 0 16 Feb 2023
Robust Unsupervised StyleGAN Image Restoration Yohan Poirier-Ginter Jean-François Lalonde 38 17 0 13 Feb 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 38 4 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 40 12 0 10 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min-Bin Lin Weiwei Liu Shuicheng Yan DiffM 24 208 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 38 152 0 08 Feb 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov VLM DiffM 32 232 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 32 6 0 07 Feb 2023
Private GANs, Revisited Alex Bie Gautam Kamath Guojun Zhang 27 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 24 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 25 2 0 04 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 63 569 0 30 Jan 2023
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds Yeqing Lin Mohammed AlQuraishi DiffM AI4CE 24 74 0 29 Jan 2023
Don't Play Favorites: Minority Guidance for Diffusion Models Soo Bin Um Suhyeon Lee Jong Chul Ye DiffM 28 21 0 29 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 46 53 0 27 Jan 2023
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 37 207 0 23 Jan 2023
$FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows$ FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows Aditya Kallappa Sandeep Nagar Girish Varma 27 2 0 23 Jan 2023
Diffusion-based Conditional ECG Generation with Structured State Space Models Juan Miguel Lopez Alcaraz Nils Strodthoff DiffM 23 48 0 19 Jan 2023
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense Shuyang Cheng Guanhong Tao Yingqi Liu Shengwei An Xiangzhe Xu ... Guangyu Shen Kaiyuan Zhang Qiuling Xu Shiqing Ma Xiangyu Zhang AAML 21 14 0 16 Jan 2023
Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis Julian Schon Raghavendra Selvan Lotte Nygaard I. Vogelius Jens Petersen MedIm 14 4 0 13 Jan 2023
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs Yinghao Xu Yujun Shen Jiapeng Zhu Ceyuan Yang Bolei Zhou 28 2 0 12 Jan 2023
LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis Jiapeng Zhu Ceyuan Yang Yujun Shen Zifan Shi Bo Dai Deli Zhao Qifeng Chen GAN 11 21 0 11 Jan 2023
On the causality-preservation capabilities of generative modelling Yves-Cédric Bauwelinckx Jan Dhaene Tim Verdonck Milan van den Heuvel CML AI4CE 38 0 0 03 Jan 2023
Muse: Text-To-Image Generation via Masked Generative Transformers Huiwen Chang Han Zhang Jarred Barber AJ Maschinot José Lezama ... Kevin Patrick Murphy William T. Freeman Michael Rubinstein Yuanzhen Li Dilip Krishnan DiffM 197 519 0 02 Jan 2023
OrthoGAN:High-Precision Image Generation for Teeth Orthodontic Visualization Feihong Shen Jingjing Liu Hai-Zhen Li B. Fang Chenglong Ma Jinxiang Hao Yang Feng Youyi Zheng Youyi Zheng MedIm DiffM 52 0 0 29 Dec 2022
Exploring Vision Transformers as Diffusion Learners He Cao Jianan Wang Tianhe Ren Xianbiao Qi Yihao Chen Yuan Yao L. Zhang 44 10 0 28 Dec 2022
CIMS: Correction-Interpolation Method for Smoke Simulation Yun-Hwa Lee Dohae Lee Young-Jin Oh In-Kwon Lee 22 0 0 28 Dec 2022
DiffFace: Diffusion-based Face Swapping with Facial Guidance Kihong Kim Yunho Kim Seokju Cho Junyoung Seo Jisu Nam Kychul Lee Seung Wook Kim Kwanghee Lee DiffM 32 52 0 27 Dec 2022
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 29 7 0 22 Dec 2022
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study Vincenzo Riccio Paolo Tonella AAML 24 29 0 21 Dec 2022
Exploring Content Relationships for Distilling Efficient GANs Lizhou You Mingbao Lin Tie Hu Rongrong Ji Rongrong Ji 41 3 0 21 Dec 2022
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer Ning Yu Chia-Chih Chen Zeyuan Chen Rui Meng Ganglu Wu P. Josel Juan Carlos Niebles Caiming Xiong Ran Xu ViT DiffM 24 6 0 19 Dec 2022
Correspondence Distillation from NeRF-based GAN Yushi Lan Chen Change Loy Bo Dai 38 9 0 19 Dec 2022
Human Image Generation: A Comprehensive Survey Zhen Jia Zhang Zhang Liangsheng Wang Tieniu Tan EGVM 3DH VGen 41 5 0 17 Dec 2022
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models Qiucheng Wu Yujian Liu Handong Zhao Ajinkya Kale T. Bui Tong Yu Zhe-nan Lin Yang Zhang Shiyu Chang DiffM CoGe 30 97 0 16 Dec 2022
Can We Find Strong Lottery Tickets in Generative Models? Sangyeop Yeo Yoojin Jang Jy-yong Sohn Dongyoon Han Jaejun Yoo 20 6 0 16 Dec 2022
TeTIm-Eval: a novel curated evaluation data set for comparing text-to-image models Federico A. Galatolo M. G. Cimino E. Cogotti 24 4 0 15 Dec 2022
The Infinite Index: Information Retrieval on Generative Text-To-Image Models Niklas Deckers Maik Frobe Johannes Kiesel G. Pandolfo Christopher Schröder Benno Stein Martin Potthast DiffM 42 16 0 14 Dec 2022
Towards Smooth Video Composition Qihang Zhang Ceyuan Yang Yujun Shen Yinghao Xu Bolei Zhou VGen 44 14 0 14 Dec 2022
Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion Yushi Lan Xuyi Meng Shuai Yang Chen Change Loy Bo Dai 3DH 3DV 39 30 0 14 Dec 2022
Orthogonal SVD Covariance Conditioning and Latent Disentanglement Yue Song N. Sebe Wei Wang 26 6 0 11 Dec 2022
MAGVIT: Masked Generative Video Transformer Lijun Yu Yong Cheng Kihyuk Sohn José Lezama Han Zhang ... Alexander G. Hauptmann Ming-Hsuan Yang Yuan Hao Irfan Essa Lu Jiang DiffM VGen 35 224 0 10 Dec 2022
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
GLeaD: Improving GANs with A Generator-Leading Task Qingyan Bai Ceyuan Yang Yinghao Xu Xihui Liu Yujiu Yang Yujun Shen GAN 20 9 0 07 Dec 2022
Decoding natural image stimuli from fMRI data with a surface-based convolutional network Zijin Gu K. Jamison Amy Kuceyeski M. Sabuncu 23 44 0 05 Dec 2022
Distribution Fitting for Combating Mode Collapse in Generative Adversarial Networks Yanxiang Gong Zhiwei Xie Guozhen Duan Z. Ma M. Xie GAN OffRL 27 3 0 03 Dec 2022
DiffRF: Rendering-Guided 3D Radiance Field Diffusion Norman Muller Yawar Siddiqui Lorenzo Porzi Samuel Rota Buló Peter Kontschieder Matthias Nießner 46 185 0 02 Dec 2022
ObjectStitch: Generative Object Compositing Yi-Zhe Song Zhifei Zhang Zhe-nan Lin Scott D. Cohen Brian L. Price Jianming Zhang S. Kim Daniel G. Aliaga DiffM 20 31 0 02 Dec 2022
Fair Generative Models via Transfer Learning Christopher T. H. Teo Milad Abdollahzadeh Ngai-man Cheung 21 24 0 02 Dec 2022