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1812.04948
Cited By
A Style-Based Generator Architecture for Generative Adversarial Networks
12 December 2018
Tero Karras
S. Laine
Timo Aila
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Papers citing
"A Style-Based Generator Architecture for Generative Adversarial Networks"
50 / 5,413 papers shown
Title
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Yi Jiang
Shoufa Chen
Shilong Zhang
Bingyue Peng
Ping Luo
Zehuan Yuan
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Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer
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Nathan Sala
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Ohad Fried
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Daniel Cohen-Or
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Chenghao Gu
Shuzhao Xie
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OmniControlNet: Dual-stage Integration for Conditional Image Generation
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Haiyang Xu
Xiang Zhang
Zeyuan Chen
Zhizhou Sha
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S. Jha
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Rajiv Kumar
Kiran R. Aatre
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Shubham Mathur
59
1
0
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AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation
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Jian Yin
Baoquan Zhao
Feize Wu
Fu Lee Wang
Qing Li
Xudong Mao
DiffM
56
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0
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Fontana Federico
Diko Anxhelo
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Cinque Luigi
48
18
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STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting
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Chen Tang
Yongkang Wong
Mohan Kankanhalli
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45
8
0
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CLoG: Benchmarking Continual Learning of Image Generation Models
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Junting Zhou
Haowei Lin
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Jianhua Zhu
Zihao Wang
Liangcai Gao
Yizhou Wang
Yitao Liang
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44
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Yuanhao Xiong
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DD
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Muhammad Awais
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48
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Qingshan Xu
Kacper Kania
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Quantum Implicit Neural Representations
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Hui Gao
60
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47
3
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Mukesh Singhal
39
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0
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Gaurav Bharaj
56
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51
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64
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Analyzing the Feature Extractor Networks for Face Image Synthesis
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65
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Xi Lu
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Khun Loun Zai
Baiqiao Yin
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Yiqiang Yan
Xiaodan Liang
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VGen
58
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Changyeon Lee
Aerin Kim
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37
4
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Anqi Li
Yuxi Liu
H. Bai
Feng Li
Runmin Cong
Meng Wang
Yao-Min Zhao
48
2
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Duygu Ceylan
Paul Guerrero
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Niloy J. Mitra
Shenlong Wang
Anna Frühstück
82
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Santosh
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Complex Style Image Transformations for Domain Generalization in Medical Images
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P. Theofilou
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OOD
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38
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48
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Yan Kang
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Difan Liu
Tobias Hinz
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1
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Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging
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45
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Diffusion Models Are Innate One-Step Generators
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Cyclic image generation using chaotic dynamics
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51
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Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion Sampling
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GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification
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Learning Gaze-aware Compositional GAN
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Slight Corruption in Pre-training Data Makes Better Diffusion Models
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Diganta Misra
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Bhiksha Raj
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Improving the Training of Rectified Flows
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RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection
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E
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E^{3}
E
3
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