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Large Scale GAN Training for High Fidelity Natural Image Synthesis
v1v2 (latest)

Large Scale GAN Training for High Fidelity Natural Image Synthesis

International Conference on Learning Representations (ICLR), 2018
28 September 2018
Andrew Brock
Jeff Donahue
Karen Simonyan
ArXiv (abs)PDFHTML

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

50 / 3,185 papers shown
Title
Towards Faster Training of Diffusion Models: An Inspiration of A
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Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon
Tianshuo Xu
Peng Mi
Ruilin Wang
Yingcong Chen
DiffM
242
12
0
14 Mar 2024
Noise Dimension of GAN: An Image Compression Perspective
Noise Dimension of GAN: An Image Compression PerspectiveIEEE International Conference on Multimedia and Expo (ICME), 2024
Ziran Zhu
Tongda Xu
Ling-Ling Li
Yan Wang
GAN
105
2
0
14 Mar 2024
Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI
Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI
Bo Shu
Zhouyao Zhu
Dong Shu
322
3
0
14 Mar 2024
HAIFIT: Human-Centered AI for Fashion Image Translation
HAIFIT: Human-Centered AI for Fashion Image Translation
Jianan Jiang
Xinglin Li
Weiren Yu
Di Wu
DiffM
181
0
0
13 Mar 2024
Attack Deterministic Conditional Image Generative Models for Diverse and
  Controllable Generation
Attack Deterministic Conditional Image Generative Models for Diverse and Controllable GenerationAAAI Conference on Artificial Intelligence (AAAI), 2024
Tianyi Chu
Wei Xing
Jiafu Chen
Zhizhong Wang
Jiakai Sun
Lei Zhao
Haibo Chen
Huaizhong Lin
AAML
104
3
0
13 Mar 2024
Efficient Diffusion Model for Image Restoration by Residual Shifting
Efficient Diffusion Model for Image Restoration by Residual ShiftingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Zongsheng Yue
Jianyi Wang
Chen Change Loy
DiffM
323
61
0
12 Mar 2024
Frequency-Aware Deepfake Detection: Improving Generalizability through
  Frequency Space Learning
Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning
Chuangchuang Tan
Yao-Min Zhao
Shikui Wei
Guanghua Gu
Ping Liu
Yunchao Wei
232
22
0
12 Mar 2024
DP-TLDM: Differentially Private Tabular Latent Diffusion Model
DP-TLDM: Differentially Private Tabular Latent Diffusion ModelARES (ARES), 2024
Chaoyi Zhu
Jiayi Tang
Juan F. Pérez
Marten van Dijk
Marten van Dijk
229
5
0
12 Mar 2024
How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?
How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?Computer Vision and Pattern Recognition (CVPR), 2024
Subhadeep Koley
A. Bhunia
Aneeshan Sain
Pinaki Nath Chowdhury
Tao Xiang
Yi-Zhe Song
266
12
0
11 Mar 2024
Data-Independent Operator: A Training-Free Artifact Representation
  Extractor for Generalizable Deepfake Detection
Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection
Chuangchuang Tan
Ping Liu
Renshuai Tao
Huan Liu
Yao-Min Zhao
Baoyuan Wu
Yunchao Wei
108
16
0
11 Mar 2024
Distribution-Aware Data Expansion with Diffusion Models
Distribution-Aware Data Expansion with Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2024
Haowei Zhu
Ling Yang
Jun-Hai Yong
Hongzhi Yin
Jiawei Jiang
Meng Xiao
Wentao Zhang
Bin Wang
172
12
0
11 Mar 2024
Audio-Synchronized Visual Animation
Audio-Synchronized Visual AnimationEuropean Conference on Computer Vision (ECCV), 2024
Lin Zhang
Shentong Mo
Yijing Zhang
Pedro Morgado
DiffM
180
30
0
08 Mar 2024
Face2Diffusion for Fast and Editable Face Personalization
Face2Diffusion for Fast and Editable Face PersonalizationComputer Vision and Pattern Recognition (CVPR), 2024
Kaede Shiohara
Toshihiko Yamasaki
DiffM
121
21
0
08 Mar 2024
Improving Adversarial Energy-Based Model via Diffusion Process
Improving Adversarial Energy-Based Model via Diffusion Process
Cong Geng
Tian Han
Peng-Tao Jiang
Hao Zhang
Jinwei Chen
Søren Hauberg
Yue Liu
DiffM
382
5
0
04 Mar 2024
Training Unbiased Diffusion Models From Biased Dataset
Training Unbiased Diffusion Models From Biased Dataset
Yeongmin Kim
Byeonghu Na
Minsang Park
Joonho Jang
Dongjun Kim
Wanmo Kang
Il-Chul Moon
243
32
0
02 Mar 2024
G3DR: Generative 3D Reconstruction in ImageNet
G3DR: Generative 3D Reconstruction in ImageNet
Pradyumna Reddy
Ismail Elezi
Jiankang Deng
297
7
0
01 Mar 2024
Rethinking cluster-conditioned diffusion models
Rethinking cluster-conditioned diffusion models
Tim Kaiser
Nikolas Adaloglou
Félix D. P. Michels
M. Kollmann
VLM
179
4
0
01 Mar 2024
VoxGenesis: Unsupervised Discovery of Latent Speaker Manifold for Speech
  Synthesis
VoxGenesis: Unsupervised Discovery of Latent Speaker Manifold for Speech Synthesis
Wei-wei Lin
Chenhang He
Man-Wai Mak
Jiachen Lian
Kong Aik Lee
DiffM
186
2
0
01 Mar 2024
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter
  Lesson of Reinforcement Learning
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
Michal Nauman
Michal Bortkiewicz
Piotr Milo's
Tomasz Trzciñski
M. Ostaszewski
Marek Cygan
OffRL
285
40
0
01 Mar 2024
Leveraging Representations from Intermediate Encoder-blocks for
  Synthetic Image Detection
Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection
C. Koutlis
Symeon Papadopoulos
263
45
0
29 Feb 2024
Breaking the Black-Box: Confidence-Guided Model Inversion Attack for
  Distribution Shift
Breaking the Black-Box: Confidence-Guided Model Inversion Attack for Distribution Shift
Xinhao Liu
Yingzhao Jiang
Zetao Lin
123
1
0
28 Feb 2024
CustomSketching: Sketch Concept Extraction for Sketch-based Image
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CustomSketching: Sketch Concept Extraction for Sketch-based Image Synthesis and Editing
Chufeng Xiao
Hongbo Fu
DiffM
148
6
0
27 Feb 2024
Structure-Guided Adversarial Training of Diffusion Models
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Ling Yang
Haotian Qian
Zhilong Zhang
Jingwei Liu
Tengjiao Wang
328
19
0
27 Feb 2024
An Interpretable Evaluation of Entropy-based Novelty of Generative
  Models
An Interpretable Evaluation of Entropy-based Novelty of Generative Models
Jingwei Zhang
Cheuk Ting Li
Farzan Farnia
EGVM
232
14
0
27 Feb 2024
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic
  Image Synthesis and Comparison in OCR System
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System
Majid Memari
Khaled R. Ahmed
Shahram Rahimi
Noorbakhsh Amiri Golilarz
EGVM
233
2
0
27 Feb 2024
Diffusion Model-Based Image Editing: A Survey
Diffusion Model-Based Image Editing: A Survey
Yi Huang
Jiancheng Huang
Yifan Liu
Mingfu Yan
Jiaxi Lv
Jianzhuang Liu
Wei Xiong
Chentao Song
Liangliang Cao
Liangliang Cao
EGVM
761
183
0
27 Feb 2024
Taming the Tail in Class-Conditional GANs: Knowledge Sharing via
  Unconditional Training at Lower Resolutions
Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions
Saeed Khorram
Mingqi Jiang
Mohamad Shahbazi
Mohamad H. Danesh
Li Fuxin
GAN
248
7
0
26 Feb 2024
Contextualized Diffusion Models for Text-Guided Image and Video
  Generation
Contextualized Diffusion Models for Text-Guided Image and Video Generation
Ling Yang
Zhilong Zhang
Zhaochen Yu
Jingwei Liu
Minkai Xu
Stefano Ermon
Tengjiao Wang
288
4
0
26 Feb 2024
Enhanced Droplet Analysis Using Generative Adversarial Networks
Enhanced Droplet Analysis Using Generative Adversarial Networks
Tan-Hanh Pham
Kim-Doang Nguyen
312
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0
24 Feb 2024
Hierarchical Invariance for Robust and Interpretable Vision Tasks at
  Larger Scales
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales
Shuren Qi
Yushu Zhang
Chao Wang
Zhihua Xia
Xiaochun Cao
Jian Weng
200
1
0
23 Feb 2024
Intriguing Properties of Modern GANs
Intriguing Properties of Modern GANs
Roy Friedman
Yair Weiss
211
0
0
21 Feb 2024
A Large Dimensional Analysis of Multi-task Semi-Supervised Learning
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Victor Leger
Romain Couillet
96
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0
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CLIPping the Deception: Adapting Vision-Language Models for Universal
  Deepfake Detection
CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection
Sohail Ahmed Khan
Duc-Tien Dang-Nguyen
VLM
183
58
0
20 Feb 2024
WildFake: A Large-scale Challenging Dataset for AI-Generated Images
  Detection
WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection
Yan Hong
Jianfu Zhang
262
23
0
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Visual Concept-driven Image Generation with Text-to-Image Diffusion Model
Visual Concept-driven Image Generation with Text-to-Image Diffusion Model
Tanzila Rahman
Shweta Mahajan
Hsin-Ying Lee
Jian Ren
Sergey Tulyakov
Leonid Sigal
297
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VATr++: Choose Your Words Wisely for Handwritten Text Generation
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ManiFPT: Defining and Analyzing Fingerprints of Generative Models
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Wael AbdAlmageed
179
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Examining Pathological Bias in a Generative Adversarial Network
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Ryan F. Lei
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214
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Seed Optimization with Frozen Generator for Superior Zero-shot Low-light
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Yi Jin
Ben Wang
Zhixiang Wei
Xiaoxiao Ma
Pengyang Ling
Haoxuan Wang
Huajun Chen
Enhong Chen
129
0
0
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Supervised Reconstruction for Silhouette Tomography
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Scalable Diffusion Models with State Space Backbone
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314
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SpirDet: Towards Efficient, Accurate and Lightweight Infrared Small
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Qiang Li
Yabo Wu
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Tao Dai
Fellow Ieee C.L. Philip Chen
182
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Counterfactual Image Editing
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Elias Bareinboim
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228
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0
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NITO: Neural Implicit Fields for Resolution-free Topology Optimization
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Amin Heyrani Nobari
Giorgio Giannone
Lyle Regenwetter
Faez Ahmed
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223
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InstanceDiffusion: Instance-level Control for Image Generation
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Xudong Wang
Trevor Darrell
Sai Saketh Rambhatla
Rohit Girdhar
Ishan Misra
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239
169
0
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DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation
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Haokun Chen
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Qingsong Wen
Jinyang Gao
Bolin Ding
138
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0
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On the Exploitation of DCT-Traces in the Generative-AI Domain
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A Single Simple Patch is All You Need for AI-generated Image Detection
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