ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1809.11096
  4. Cited By
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 / 3,194 papers shown
SimFlow: Simplified and End-to-End Training of Latent Normalizing Flows
SimFlow: Simplified and End-to-End Training of Latent Normalizing Flows
Qinyu Zhao
Guangting Zheng
Tao Yang
Rui Zhu
Xingjian Leng
Stephen Gould
Liang Zheng
DRL
164
0
0
03 Dec 2025
LSRS: Latent Scale Rejection Sampling for Visual Autoregressive Modeling
LSRS: Latent Scale Rejection Sampling for Visual Autoregressive Modeling
Hong-Kai Zheng
Piji Li
44
0
0
03 Dec 2025
Improved Mean Flows: On the Challenges of Fastforward Generative Models
Zhengyang Geng
Yiyang Lu
Zongze Wu
Eli Shechtman
J. Zico Kolter
Kaiming He
AI4CE
100
1
0
01 Dec 2025
SAIDO: Generalizable Detection of AI-Generated Images via Scene-Aware and Importance-Guided Dynamic Optimization in Continual Learning
Yongkang Hu
Yu Cheng
Y. Zhang
Yuan Xie
Zhaoxia Yin
76
0
0
29 Nov 2025
Optical diffraction neural networks assisted computational ghost imaging through dynamic scattering media
Optical diffraction neural networks assisted computational ghost imaging through dynamic scattering media
Yue-Gang Li
Ze Zheng
Jun-jie Wang
Ming He
Jianping Fan
Tailong Xiao
Guihua Zeng
92
0
0
28 Nov 2025
Hybrid Synthetic Data Generation with Domain Randomization Enables Zero-Shot Vision-Based Part Inspection Under Extreme Class Imbalance
Hybrid Synthetic Data Generation with Domain Randomization Enables Zero-Shot Vision-Based Part Inspection Under Extreme Class Imbalance
Ruo-Syuan Mei
Sixian Jia
Guangze Li
Soo Yeon Lee
Brian Musser
William Keller
Sreten Zakula
Jorge Arinez
Chenhui Shao
32
0
0
28 Nov 2025
Flowing Backwards: Improving Normalizing Flows via Reverse Representation Alignment
Flowing Backwards: Improving Normalizing Flows via Reverse Representation Alignment
Yang Chen
Xiaowei Xu
S. Wang
C. Zhu
Ruxue Wen
X. Li
Tiezheng Ge
Limin Wang
40
0
0
27 Nov 2025
Adversarial Flow Models
Adversarial Flow Models
Shanchuan Lin
Ceyuan Yang
Zhijie Lin
Hao Chen
Haoqi Fan
GAN
136
0
0
27 Nov 2025
Saddle-Free Guidance: Improved On-Manifold Sampling without Labels or Additional Training
Saddle-Free Guidance: Improved On-Manifold Sampling without Labels or Additional Training
Eric Yeats
Darryl Hannan
Wilson Fearn
T. Doster
Henry Kvinge
Scott Mahan
DiffM
116
0
0
26 Nov 2025
PromptMoG: Enhancing Diversity in Long-Prompt Image Generation via Prompt Embedding Mixture-of-Gaussian Sampling
PromptMoG: Enhancing Diversity in Long-Prompt Image Generation via Prompt Embedding Mixture-of-Gaussian Sampling
Bo-Kai Ruan
Teng-Fang Hsiao
Ling Lo
Yi-Lun Wu
Hong-Han Shuai
DiffMVLM
177
0
0
25 Nov 2025
Temporal-Visual Semantic Alignment: A Unified Architecture for Transferring Spatial Priors from Vision Models to Zero-Shot Temporal Tasks
Temporal-Visual Semantic Alignment: A Unified Architecture for Transferring Spatial Priors from Vision Models to Zero-Shot Temporal Tasks
Xiangkai Ma
Han Zhang
Wenzhong Li
Sanglu Lu
AI4TSVGen
267
0
0
25 Nov 2025
A Training-Free Approach for Multi-ID Customization via Attention Adjustment and Spatial Control
A Training-Free Approach for Multi-ID Customization via Attention Adjustment and Spatial Control
Jiawei Lin
Guanlong Jiao
Jianjin Xu
271
0
0
25 Nov 2025
When Semantics Regulate: Rethinking Patch Shuffle and Internal Bias for Generated Image Detection with CLIP
When Semantics Regulate: Rethinking Patch Shuffle and Internal Bias for Generated Image Detection with CLIP
Beilin Chu
Weike You
Mengtao Li
Tingting Zheng
Kehan Zhao
Xuan Xu
Zhigao Lu
Jia Song
Moxuan Xu
Linna Zhou
160
1
0
24 Nov 2025
FVAR: Visual Autoregressive Modeling via Next Focus Prediction
FVAR: Visual Autoregressive Modeling via Next Focus Prediction
Xiaofan Li
Chenming Wu
Yanpeng Sun
Jiaming Zhou
Delin Qu
Yansong Qu
Weihao Bo
Haibao Yu
Dingkang Liang
VGen
152
0
0
24 Nov 2025
Understanding, Accelerating, and Improving MeanFlow Training
Understanding, Accelerating, and Improving MeanFlow Training
J. Kim
Hyojun Go
L. Bogensperger
Julius Erbach
Nikolai Kalischek
Federico Tombari
Konrad Schindler
Dominik Narnhofer
AI4CE
231
0
0
24 Nov 2025
Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection
Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection
Hong-Hanh Nguyen-Le
Van-Tuan Tran
Dinh-Thuc Nguyen
Nhien-An Le-Khac
116
0
0
23 Nov 2025
Supervised Contrastive Learning for Few-Shot AI-Generated Image Detection and Attribution
Supervised Contrastive Learning for Few-Shot AI-Generated Image Detection and Attribution
Jaime Álvarez Urueña
David Camacho
Javier Huertas-Tato
156
0
0
20 Nov 2025
How Noise Benefits AI-generated Image Detection
Jiazhen Yan
Wandi Qiao
Fan Wang
Kai Zeng
Zhangjie Fu
AAML
212
0
0
20 Nov 2025
Coffee: Controllable Diffusion Fine-tuning
Coffee: Controllable Diffusion Fine-tuning
Ziyao Zeng
Jingcheng Ni
Ruyi Liu
Alex Wong
DiffM
161
0
0
18 Nov 2025
MeanFlow Transformers with Representation Autoencoders
MeanFlow Transformers with Representation Autoencoders
Zheyuan Hu
Chieh-Hsin Lai
Ge Wu
Yuki Mitsufuji
Stefano Ermon
211
0
0
17 Nov 2025
DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection
DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection
Jiazhen Yan
Wandi Qiao
Fan Wang
Boyu Wang
Zhangjie Fu
192
0
0
17 Nov 2025
Toward Better Generalization in Few-Shot Learning through the Meta-Component Combination
Toward Better Generalization in Few-Shot Learning through the Meta-Component Combination
Qiuhao Zeng
100
0
0
07 Nov 2025
AI-Generated Image Detection: An Empirical Study and Future Research Directions
AI-Generated Image Detection: An Empirical Study and Future Research Directions
Nusrat Tasnim
Kutub Uddin
K. Malik
AAML
192
0
0
04 Nov 2025
Detecting Generated Images by Fitting Natural Image Distributions
Detecting Generated Images by Fitting Natural Image Distributions
Yonggang Zhang
Jun Nie
Xinmei Tian
Mingming Gong
Kun Zhang
Bo Han
212
1
0
03 Nov 2025
Enhancing Frequency Forgery Clues for Diffusion-Generated Image Detection
Enhancing Frequency Forgery Clues for Diffusion-Generated Image Detection
D. Zhang
Tong Zhang
Shiming Ge
Sabine Süsstrunk
DiffMAAML
184
0
0
01 Nov 2025
Leveraging Hierarchical Image-Text Misalignment for Universal Fake Image Detection
Leveraging Hierarchical Image-Text Misalignment for Universal Fake Image Detection
D. Zhang
Tong Zhang
Jianmin Bao
Shiming Ge
Sabine Süsstrunk
133
0
0
01 Nov 2025
Continuous Autoregressive Language Models
Continuous Autoregressive Language Models
Chenze Shao
Darren Li
Fandong Meng
Jie Zhou
KELM
310
0
0
31 Oct 2025
E-MMDiT: Revisiting Multimodal Diffusion Transformer Design for Fast Image Synthesis under Limited Resources
E-MMDiT: Revisiting Multimodal Diffusion Transformer Design for Fast Image Synthesis under Limited Resources
Tong Shen
Jingai Yu
Dong Zhou
Dong Li
E. Barsoum
DiffM
127
0
0
31 Oct 2025
Who Made This? Fake Detection and Source Attribution with Diffusion Features
Who Made This? Fake Detection and Source Attribution with Diffusion Features
S. Bonechi
P. Andreini
Barbara Toniella Corradini
DiffM
152
1
0
31 Oct 2025
EIRES:Training-free AI-Generated Image Detection via Edit-Induced Reconstruction Error Shift
EIRES:Training-free AI-Generated Image Detection via Edit-Induced Reconstruction Error Shift
Wan Jiang
Jing Yan
Ruixuan Zhang
Xiaojing Chen
Changtao Miao
Zhe Li
C. D. Lin
AAML
128
1
0
29 Oct 2025
Uniform Discrete Diffusion with Metric Path for Video Generation
Uniform Discrete Diffusion with Metric Path for Video Generation
Haoge Deng
Ting Pan
Fan Zhang
Y. Liu
Zhuoyan Luo
...
Wenxuan Wang
Chunhua Shen
Shiguang Shan
Zhaoxiang Zhang
Xinlong Wang
VGen
154
2
0
28 Oct 2025
FARMER: Flow AutoRegressive Transformer over Pixels
FARMER: Flow AutoRegressive Transformer over Pixels
Guangting Zheng
Qinyu Zhao
Tao Yang
Fei Xiao
Zhijie Lin
Jie Wu
Jiajun Deng
Y. Zhang
Rui Zhu
VGen
250
4
0
27 Oct 2025
Improved Training Technique for Shortcut Models
Improved Training Technique for Shortcut Models
Anh-Tien Nguyen
Viet-Anh Nguyen
D. Vu
T. Dao
Chi Tran
Toan M. Tran
Anh Tran
BDL
219
1
0
24 Oct 2025
ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection
ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection
Haowei Zhu
Tianxiang Pan
Rui Qin
Jun-Hai Yong
Bin Wang
DiffM
164
1
0
17 Oct 2025
Controlling the image generation process with parametric activation functions
Controlling the image generation process with parametric activation functions
Ilia Pavlov
GAN
220
0
0
17 Oct 2025
LOTA: Bit-Planes Guided AI-Generated Image Detection
LOTA: Bit-Planes Guided AI-Generated Image Detection
Hongsong Wang
Renxi Cheng
Yang Zhang
Chaolei Han
Jie Gui
DiffM
120
1
0
16 Oct 2025
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts
Li Bai
Qingqing Ye
Xinwei Zhang
Sen Zhang
Zi Liang
Jianliang Xu
Haibo Hu
FedMLMIACVMoE
323
0
0
15 Oct 2025
CoLoR-GAN: Continual Few-Shot Learning with Low-Rank Adaptation in Generative Adversarial Networks
CoLoR-GAN: Continual Few-Shot Learning with Low-Rank Adaptation in Generative Adversarial Networks
Munsif Ali
L. Rossi
Massimo Bertozzi
CLLGAN
236
1
0
13 Oct 2025
Joint Discriminative-Generative Modeling via Dual Adversarial Training
Joint Discriminative-Generative Modeling via Dual Adversarial Training
Xuwang Yin
Claire Zhang
Julie Steele
Nir Shavit
T. T. Wang
GAN
408
0
0
13 Oct 2025
Diffusion Transformers with Representation Autoencoders
Diffusion Transformers with Representation Autoencoders
Boyang Zheng
Nanye Ma
Shengbang Tong
Saining Xie
DiffM
194
39
0
13 Oct 2025
Encoder Decoder Generative Adversarial Network Model for Stock Market Prediction
Encoder Decoder Generative Adversarial Network Model for Stock Market Prediction
Bahadur Yadav
Sanjay Kumar Mohanty
AIFinGANAI4TS
199
0
0
12 Oct 2025
Instance-Level Generation for Representation Learning
Instance-Level Generation for Representation Learning
Yankun Wu
Zakaria Laskar
Giorgos Kordopatis-Zilos
Noa Garcia
Giorgos Tolias
133
0
0
10 Oct 2025
Toward Reliable Clinical Coding with Language Models: Verification and Lightweight Adaptation
Toward Reliable Clinical Coding with Language Models: Verification and Lightweight Adaptation
Zhangdie Yuan
Han-Chin Shing
Mitch Strong
Chaitanya P. Shivade
120
0
0
08 Oct 2025
Redefining Generalization in Visual Domains: A Two-Axis Framework for Fake Image Detection with FusionDetect
Redefining Generalization in Visual Domains: A Two-Axis Framework for Fake Image Detection with FusionDetect
Amirtaha Amanzadi
Zahra Dehghanian
Hamid Beigy
Hamid R. Rabiee
233
0
0
07 Oct 2025
$\bf{D^3}$QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection
D3\bf{D^3}D3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection
Yanran Zhang
Bingyao Yu
Yu Zheng
Wenzhao Zheng
Yueqi Duan
Lei Chen
Jie Zhou
Jiwen Lu
MQ
185
1
0
07 Oct 2025
Parallel Tokenizers: Rethinking Vocabulary Design for Cross-Lingual Transfer
Parallel Tokenizers: Rethinking Vocabulary Design for Cross-Lingual Transfer
Muhammad Dehan Al Kautsar
Fajri Koto
188
1
0
07 Oct 2025
SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization
SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization
Théophane Vallaeys
Jakob Verbeek
Matthieu Cord
DiffM
226
3
0
06 Oct 2025
SONA: Learning Conditional, Unconditional, and Mismatching-Aware Discriminator
SONA: Learning Conditional, Unconditional, and Mismatching-Aware Discriminator
Yuhta Takida
Satoshi Hayakawa
Takashi Shibuya
Masaaki Imaizumi
Naoki Murata
Bac Nguyen
Toshimitsu Uesaka
Chieh-Hsin Lai
Yuki Mitsufuji
DiffM
132
0
0
06 Oct 2025
MASC: Boosting Autoregressive Image Generation with a Manifold-Aligned Semantic Clustering
MASC: Boosting Autoregressive Image Generation with a Manifold-Aligned Semantic Clustering
Lixuan He
Shikang Zheng
Linfeng Zhang
144
0
0
05 Oct 2025
Neon: Negative Extrapolation From Self-Training Improves Image Generation
Neon: Negative Extrapolation From Self-Training Improves Image Generation
Sina Alemohammad
Zinan Lin
Richard G. Baraniuk
SyDa
299
1
0
04 Oct 2025
1234...626364
Next