StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

1 February 2022

Katja Schwarz

Papers citing "StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets"

50 / 114 papers shown

Title
MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning Jinhua Zhang Wei Long Minghao Han Weiyi You Shuhang Gu BDL 17 0 0 19 May 2025
Is Artificial Intelligence Generated Image Detection a Solved Problem? Ziqiang Li Jiazhen Yan Ziwen He Kai Zeng Weiwei Jiang Lizhi Xiong Zhangjie Fu AAML 19 0 0 18 May 2025
Conditional Deep Generative Models for Belief State Planning Antoine Bigeard Anthony Corso Mykel J. Kochenderfer AI4CE 17 0 0 16 May 2025
Continuous Visual Autoregressive Generation via Score Maximization Chenze Shao Fandong Meng Jie Zhou DiffM 31 1 0 12 May 2025
Dataset Distillation with Probabilistic Latent Features Zhe Li Sarah Cechnicka Cheng Ouyang Katharina Breininger Peter Schüffler Bernhard Kainz DD 47 0 0 10 May 2025
Halton Scheduler For Masked Generative Image Transformer Victor Besnier Mickael Chen David Hurych Eduardo Valle Matthieu Cord 52 1 0 21 Mar 2025
Effective and Efficient Masked Image Generation Models Zebin You Jingyang Ou Xiaolu Zhang Jun Hu Jun Zhou Chongxuan Li DiffM VLM 66 1 0 10 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator Kaiwen Zheng Yongxin Chen Huayu Chen Guande He Xuan Li Jun Zhu Qinsheng Zhang DiffM 49 0 0 03 Mar 2025
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation Sucheng Ren Qihang Yu Ju He Xiaohui Shen Alan Yuille Liang-Chieh Chen VGen 85 7 0 27 Feb 2025
On the Statistical Complexity of Estimating Vendi Scores from Empirical Data Azim Ospanov Farzan Farnia 43 1 0 17 Feb 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead Won-Jun Jang Hyeon-Seo Park Si-Hyeon Lee FedML 250 0 0 10 Feb 2025
Dimensions underlying the representational alignment of deep neural networks with humans F. Mahner Lukas Muttenthaler Umut Güçlü M. Hebart 48 4 0 28 Jan 2025
EXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion Models Jaehoon Heo Adiwena Putra Jieon Yoon Sungwoong Yune Hangyeol Lee Ji-Hoon Kim Joo-Young Kim DiffM 55 1 0 10 Jan 2025
Parallelized Autoregressive Visual Generation Yunhong Wang Shuhuai Ren Zhijie Lin Yujin Han Haoyuan Guo Zhenheng Yang Difan Zou Jiashi Feng Xihui Liu VGen 95 12 0 19 Dec 2024
Next Patch Prediction for Autoregressive Visual Generation Yatian Pang Peng Jin Shuo Yang Bin Lin Bin Zhu ... Liuhan Chen Francis E. H. Tay Ser-Nam Lim Harry Yang Li Yuan 134 9 0 19 Dec 2024
A Unified Data Representation Learning for Non-parametric Two-sample Testing Xunye Tian Liuhua Peng Zhijian Zhou Mingming Gong Feng Liu Feng Liu 87 0 0 30 Nov 2024
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation Hao Phung Quan Dao T. Dao Hoang Phan Dimitris Metaxas Anh Tran Mamba 70 4 0 06 Nov 2024
Identify Backdoored Model in Federated Learning via Individual Unlearning Jiahao Xu Zikai Zhang Rui Hu FedML AAML 74 1 0 01 Nov 2024
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion Emiel Hoogeboom Thomas Mensink Jonathan Heek Kay Lamerigts Ruiqi Gao Tim Salimans 194 6 0 25 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Sihyun Yu Sangkyung Kwak Huiwon Jang Jongheon Jeong Jonathan Huang Jinwoo Shin Saining Xie OCL 78 67 0 09 Oct 2024
KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models Pouyan Navard Amin Karimi Monsefi Mengxi Zhou Wei-Lun Chao Alper Yilmaz R. Ramnath DiffM 54 2 0 02 Oct 2024
Scalable Autoregressive Image Generation with Mamba Haopeng Li Jinyue Yang Kexin Wang Xuerui Qiu Yuhong Chou Xin Li Guoqi Li Mamba 63 13 0 22 Aug 2024
Latent Space Imaging Matheus Souza Yidan Zheng Kaizhang Kang Yogeshwar Nath Mishra Qiang Fu Wolfgang Heidrich 65 0 0 09 Jul 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 39 3 0 30 Jun 2024
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation Peize Sun Yi Jiang Shoufa Chen Shilong Zhang Bingyue Peng Ping Luo Zehuan Yuan VLM 68 230 0 10 Jun 2024
RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection Zhiyuan He Pin-Yu Chen Tsung-Yi Ho 46 12 0 30 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 44 2 0 27 May 2024
TerDiT: Ternary Diffusion Models with Transformers Xudong Lu Aojun Zhou Ziyi Lin Qi Liu Yuhui Xu Renrui Zhang Yafei Wen Shuai Ren Peng Gao Junchi Yan MQ 55 2 0 23 May 2024
Distilling Diffusion Models into Conditional GANs Minguk Kang Richard Zhang Connelly Barnes Sylvain Paris Suha Kwak Jaesik Park Eli Shechtman Jun-Yan Zhu Taesung Park 46 37 0 09 May 2024
Defect Image Sample Generation With Diffusion Prior for Steel Surface Defect Recognition Yichun Tai Kun Yang Tao Peng Zhenzhen Huang Zhijiang Zhang 37 4 0 03 May 2024
Inverse Neural Rendering for Explainable Multi-Object Tracking Julian Ost Tanushree Banerjee Mario Bijelic Felix Heide 36 0 0 18 Apr 2024
Global Counterfactual Directions Bartlomiej Sobieski P. Biecek DiffM 58 5 0 18 Apr 2024
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators Shenghai Yuan Jinfa Huang Yujun Shi Yongqi Xu Ruijie Zhu Bin Lin Xinhua Cheng Li-xin Yuan Jiebo Luo VGen 83 34 0 07 Apr 2024
An Interpretable Evaluation of Entropy-based Novelty of Generative Models Jingwei Zhang Cheuk Ting Li Farzan Farnia EGVM 40 6 0 27 Feb 2024
Learning to See Through Dazzle Xiaopeng Peng Erin F. Fleet A. Watnik Grover A. Swartzlander GAN AAML 34 4 0 24 Feb 2024
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery Mengya Xu Mobarakol Islam Long Bai Hongliang Ren 33 5 0 08 Feb 2024
STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models Pum Jun Kim Seojun Kim Jaejun Yoo EGVM 30 3 0 30 Jan 2024
Detecting Face Synthesis Using a Concealed Fusion Model Roberto Leyva Victor Sanchez Gregory Epiphaniou Carsten Maple AAML CVBM 32 0 0 08 Jan 2024
Analyzing and Improving the Training Dynamics of Diffusion Models Tero Karras M. Aittala J. Lehtinen Janne Hellsten Timo Aila S. Laine 46 158 0 05 Dec 2023
DiffiT: Diffusion Vision Transformers for Image Generation Ali Hatamizadeh Jiaming Song Guilin Liu Jan Kautz Arash Vahdat 39 67 0 04 Dec 2023
SMaRt: Improving GANs with Score Matching Regularity Mengfei Xia Yujun Shen Ceyuan Yang Ran Yi Wenping Wang Yong-jin Liu 41 5 0 30 Nov 2023
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 44 3 0 23 Nov 2023
The Challenges of Image Generation Models in Generating Multi-Component Images Tham Yik Foong Shashank Kotyan Poyuan Mao Danilo Vasconcellos Vargas EGVM 52 1 0 22 Nov 2023
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 36 0 0 15 Nov 2023
TURBO: The Swiss Knife of Auto-Encoders Guillaume Quétant Yury Belousov Vitaliy Kinakh Slava Voloshynovskiy 26 6 0 11 Nov 2023
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning Amey P. Pasarkar Adji Bousso Dieng 27 11 0 19 Oct 2023
Structural Adversarial Objectives for Self-Supervised Representation Learning Xiao Zhang Michael Maire 16 1 0 30 Sep 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples Shinýa Yamaguchi 43 2 0 28 Sep 2023
VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis Xinya Chen Jiaxin Huang Yanrui Bin Lu Yu Yiyi Liao 3DH 31 10 0 09 Sep 2023
Masked-Attention Diffusion Guidance for Spatially Controlling Text-to-Image Generation Yuki Endo 43 8 0 11 Aug 2023