Generative Adversarial Networks

CVPR 2024arXiv:2405.04356

#2

Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation

Shanchuan Lin, Ceyuan Yang, Hao He et al.

Diffusion-driven GAN Inversion for Multi-Modal Face Image Generation

Jihyun Kim, Changjae Oh, Hoseok Do et al.

24

AAAI 2024arXiv:2305.06671

#4

WeditGAN: Few-Shot Image Generation via Latent Space Relocation

Yuxuan Duan, Li Niu, Yan Hong et al.

few-shot image generationlatent space editingstylegan transfermodel overfitting prevention+3

23

CVPR 2025arXiv:2503.08269

#5

Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks

Junying Wang, Hongyuan Zhang, Yuan Yuan

customized portrait generationfacial adversarial attacksprivacy protectionface recognition systems+3

20

ICLR 2025arXiv:2403.12931

#6

You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs

Yihong Luo, Xiaolong Chen, Xinghua Qu et al.

18

ICLR 2024arXiv:2212.02963

#7

Image Inpainting via Iteratively Decoupled Probabilistic Modeling

Wenbo Li, Xin Yu, Kun Zhou et al.

17

generative architecture searchtraining-free searchzero-cost proxiesevolutionary algorithm+4

#8

Auto-GAS: Automated Proxy Discovery for Training-free Generative Architecture Search

Lujun Li, Haosen SUN, Shiwen Li et al.

ECCV 2024

16

ECCV 2024arXiv:2409.00342

#9

Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis

Jiapeng Zhu, Ceyuan Yang, Kecheng Zheng et al.

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation

Zanlin Ni, Yulin Wang, Renping Zhou et al.

15

CVPR 2024arXiv:2312.00739

#11

Adversarial Score Distillation: When score distillation meets GAN

Min Wei, Jingkai Zhou, Junyao Sun et al.

15

CVPR 2024arXiv:2401.02411

#12

What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs

Alex Trevithick, Matthew Chan, Towaki Takikawa et al.

14

ICML 2025arXiv:2503.01103

#13

Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator

Kaiwen Zheng, Yongxin Chen, Huayu Chen et al.

12

AAAI 2024arXiv:2312.14776

#14

Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold

Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah et al.

gan compressionimage-to-image translationlocal density structurelearned manifold+4

11

ICML 2025arXiv:2502.09263

#15

Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence

Yuankai Luo, Lei Shi, Xiao-Ming Wu

9

ICML 2025arXiv:2501.01073

#16

Graph Generative Pre-trained Transformer

Xiaohui Chen, Yinkai Wang, JIAXING HE et al.

9

CVPR 2024arXiv:2403.00939

#17

G3DR: Generative 3D Reconstruction in ImageNet

Pradyumna Reddy, Ismail Elezi, Jiankang Deng

7

ECCV 2024arXiv:2407.12292

#18

Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection

Youheng Sun, Shengming Yuan, Xuanhan Wang et al.

targeted adversarial attackadversarial example generationlatent representation injectionclass-agnostic attack+4

7

ICLR 2025arXiv:2503.01931

#19

Adversarial Generative Flow Network for Solving Vehicle Routing Problems

Ni Zhang, Jingfeng Yang, Zhiguang Cao et al.

vehicle routing problemsgenerative flow networkscapacitated vehicle routing problemtravelling salesman problem+4

7

ECCV 2024arXiv:2407.11966

#20

Efficient Training with Denoised Neural Weights

Yifan Gong, Zheng Zhan, Yanyu Li et al.

5

AAAI 2025arXiv:2412.16901

#21

Exploring Guided Sampling of Conditional GANs

Yifei Zhang, Mengfei Xia, Yujun Shen et al.

Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers

Qi Deng, Shuaicheng Niu, Ronghao Zhang et al.

4

AAAI 2025arXiv:2501.01106

#23

AIM: Additional Image Guided Generation of Transferable Adversarial Attacks

Teng Li, Xingjun Ma, Yu-Gang Jiang

AAAI 2025arXiv:2405.17191

#24

MCGAN: Enhancing GAN Training with Regression-Based Generator Loss

Baoren Xiao, Hao Ni, Weixin Yang

AAAI 2024arXiv:2312.10366

#25

Fusing Conditional Submodular GAN and Programmatic Weak Supervision

Kumar Shubham, Pranav Sastry, AP Prathosh

programmatic weak supervisionconditional generative adversarial networksnoise-aware classificationsubmodular maximization+4

ICML 2025arXiv:2506.09376

#26

Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation

Bowen Zheng, Tianming Yang

ICCV 2025arXiv:2507.10855

#27

Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation

Sangyeop Yeo, Yoojin Jang, Jaejun Yoo

Sparse Fine-Tuning of Transformers for Generative Tasks

Wei Chen, Jingxi Yu, Zichen Miao et al.

CVPR 2025arXiv:2503.24282

#29

Generative Adversarial Diffusion

U-Chae Jun, Jaeeun Ko, Jiwoo Kang

Style Quantization for Data-Efficient GAN Training

Jian Wang, Xin Lan, Ji-Zhe Zhou et al.

2

AAAI 2025arXiv:2412.19543

#31

Diverse Rare Sample Generation with Pretrained GANs

Subeen Lee, Jiyeon Han, Soyeon Kim et al.

2

ICML 2025arXiv:2405.17130

#32

AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization

Haibo Chen, Xin Wang, Zeyang Zhang et al.

Explaining the role of Intrinsic Dimensionality in Adversarial Training

Enes Altinisik, Safa Messaoud, Husrev Taha Sencar et al.

1

graph generative modelslarge-scale training paradigmzero-shot generative capabilitytext-to-graph generation+3

#34

A Large-scale Training Paradigm for Graph Generative Models

Yu Wang, Ryan Rossi, Namyong Park et al.

ICLR 2025

1

AAAI 2024arXiv:2308.10273

#35

Noise Consistency Training: A Native Approach for One-step Generator in Learning Additional Controls

Yihong Luo, Shuchen Xue, Tianyang Hu et al.

ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing

Kartik Thakral, Shashikant Prasad, Stuti Aswani et al.

EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning

Jingtao Li, Xing Chen, Li Yang et al.

StegaStyleGAN: Towards Generic and Practical Generative Image Steganography

Wenkang Su, Jiangqun Ni, Yiyan Sun

Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks

continuous conditional gansnegative data augmentationgenerative adversarial networkslabel consistency+4

AAAI 2024arXiv:2403.07673

#40

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions

Saeed Khorram, Mingqi Jiang, Mohamad Shahbazi et al.

Uncertainty-Aware GAN for Single Image Super Resolution

Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation

Di Mi, Yanjun Zhang, Leo yu Zhang et al.

AAAI 2025arXiv:2403.05966

#43

RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks

Divya Saxena, Jiannong Cao, Jiahao Xu et al.

Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing

Hao Li, Mengqi Huang, Lei Zhang et al.

Can Generative Models Improve Self-Supervised Representation Learning?

Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani et al.

CVPR 2024arXiv:2312.16837

#46

DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors

Biwen Lei, Kai Yu, Mengyang Feng et al.

AAAI 2024arXiv:2312.13583

#47

What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models

Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos et al.

CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data Synthesizing

Seungcheol Lee, Moohong Min

Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns

Yifei Sun, Qi Zhu, Yang Yang et al.

graph neural networkspre-training fine-tuninggraph generative patternsgraphon reconstruction+3

#50

GenAL: Generative Agent for Adaptive Learning

Rui Lv, Qi Liu, Weibo Gao et al.

5602 Consistency-GAN: Training GANs with Consistency Model

Yunpeng Wang, Meng Pang, Shengbo Chen et al.

When StyleGAN Meets Stable Diffusion: a W+ Adapter for Personalized Image Generation

Xiaoming Li, Xinyu Hou, Chen Change Loy

Spatial-Contextual Discrepancy Information Compensation for GAN Inversion

Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks

Junjie Chen, Jiahao Li, Chen Song et al.

E$^2$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation

Yifan Gong, Zheng Zhan, Qing Jin et al.

image-to-image translationgenerative adversarial networksdata distillationdiffusion models+4

#56

Single-Model Attribution of Generative Models Through Final-Layer Inversion

Mike Laszkiewicz, Jonas Ricker, Johannes Lederer et al.

single-model attributiongenerative model attributionfinal-layer inversionanomaly detection+3

ICML 2025arXiv:2505.09768

#57

Self-Consuming Generative Models Go MAD

Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi et al.

Self-Consuming Generative Models with Adversarially Curated Data

Xiukun Wei, Xueru Zhang

#59

Position: Compositional Generative Modeling: A Single Model is Not All You Need

Yilun Du, Leslie Kaelbling

compositional generative modelinggenerative systems compositiondata-efficient learningdistribution generalization+2

CVPR 2024arXiv:2404.00521

#60

CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization

Yao Ni, Piotr Koniusz

ICLR 2024arXiv:2301.12811

#61

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer

Yuhta Takida, Masaaki Imaizumi, Takashi Shibuya et al.

CVPR 2024arXiv:2404.14808

#62

Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning

Wenjin Hou, Shiming Chen, Shuhuang Chen et al.

ICLR 2024arXiv:2310.00429

#63

Pre-Training and Fine-Tuning Generative Flow Networks

Ling Pan, Moksh Jain, Kanika Madan et al.

On the Stability of Iterative Retraining of Generative Models on their own Data

Quentin Bertrand, Joey Bose, Alexandre Duplessis et al.

ICML 2025arXiv:2507.09391

#65

Geometric Generative Modeling with Noise-Conditioned Graph Networks

Peter Pao-Huang, Mitchell Black, Xiaojie Qiu

CVPR 2024arXiv:2401.04727

#66

Revisiting Adversarial Training at Scale

Zeyu Wang, Xianhang li, Hongru Zhu et al.

ICLR 2024arXiv:2311.01462

#67

Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation

Yassine Abbahaddou, Fragkiskos Malliaros, Johannes Lutzeyer et al.

Branch-GAN: Improving Text Generation with (not so) Large Language Models

Fredrik Carlsson, Johan Broberg, Erik Hillbom et al.

GMAIL: Generative Modality Alignment for generated Image Learning

Shentong Mo, Sukmin Yun

Idempotent Generative Network

Assaf Shocher, Amil Dravid, Yossi Gandelsman et al.

#71

Towards Theoretical Understandings of Self-Consuming Generative Models

Shi Fu, Sen Zhang, Yingjie Wang et al.

self-consuming generative modelsdiffusion modelsneural network score functiontotal variation distance+4

#72

Learning Changes in Graphon Attachment Network Models

Xinyuan Fan, Bufan Li, Chenlei Leng et al.

Improving Adversarial Energy-Based Model via Diffusion Process

Cong Geng, Tian Han, Peng-Tao Jiang et al.

energy-based modelsadversarial trainingdiffusion modelsdensity estimation+4

ICML 2025arXiv:2402.14009

#74

Geometry-Informed Neural Networks

Arturs Berzins, Andreas Radler, Eric Volkmann et al.

omnidirectional image synthesis3d-aware image synthesiscamera viewpoint controlgenerative adversarial networks+4

#75

Linearly Controllable GAN: Unsupervised Feature Categorization and Decomposition for Image Generation and Manipulation

Sehyung Lee, Mijung Kim, Yeongnam Chae et al.

EpipolarGAN: Omnidirectional Image Synthesis with Explicit Camera Control

Christopher May, Daniel Aliaga

ECCV 2024

ECCV 2024arXiv:2403.06517

#77

A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks

Yixiang Qiu, Hao Fang, Hongyao Yu et al.

TPA3D: Triplane Attention for Fast Text-to-3D Generation

Bin-Shih Wu, HONG-EN CHEN, Sheng-Yu Huang et al.

Φ-GAN:Physics-Inspired GAN for Generating SAR Images Under Limited Data

Xidan Zhang, Yihan Zhuang, Qian Guo et al.

Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling

Zhaoyu Zhang, Yang Hua, Guanxiong Sun et al.

GliaNet: Adaptive Neural Network Structure Learning with Glia-Driven

Mengqiao Han, Liyuan Pan, Xiabi Liu

AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models

Xuelong Dai, Kaisheng Liang, Bin Xiao

CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction

Shengke Sun, Ziqian Luan, Zhanshan Zhao et al.

Condensing Action Segmentation Datasets via Generative Network Inversion

Guodong Ding, Rongyu Chen, Angela Yao

Active Generation for Image Classification

Tao Huang, Jiaqi Liu, Shan You et al.

image classificationdiffusion modelsactive learningattentive image guidance+4

ECCV 2024arXiv:2409.16865

#86

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction

Seungtae Nam, Xiangyu Sun, Gyeongjin Kang et al.

PLA: Prompt Learning Attack against Text-to-Image Generative Models

XINQI LYU, Yihao LIU, Yanjie Li et al.

CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks

Hao Fang, Jiawei Kong, Bin Chen et al.

Linking in Style: Understanding learned features in deep learning models

Maren Wehrheim, Pamela Osuna Vargas, Matthias Kaschube

CVPR 2025arXiv:2404.12388

#90

VideoGigaGAN: Towards Detail-rich Video Super-Resolution

Yiran Xu, Taesung Park, Richard Zhang et al.

ICML 2024arXiv:2307.16422

#91

Learning 3D-aware GANs from Unposed Images with Template Feature Field

XINYA CHEN, Hanlei Guo, Yanrui Bin et al.

Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution

Elen Vardanyan, Sona Hunanyan, Tigran Galstyan et al.

generative modelingwasserstein ganstatistical optimalityempirical distribution deviation+4

ICML 2024arXiv:2406.02435

#93

Generative Active Learning for Long-tailed Instance Segmentation

Muzhi Zhu, Chengxiang Fan, Hao Chen et al.

instance segmentationlong-tailed learninggenerative modelsactive learning+4

#94

GFlowNet Training by Policy Gradients

Puhua Niu, Shili Wu, Mingzhou Fan et al.

generative flow networkspolicy gradient methodsflow balance constraintbackward policy design+4

#95

GenCO: Generating Diverse Designs with Combinatorial Constraints

Aaron Ferber, Arman Zharmagambetov, Taoan Huang et al.

generative combinatorial optimizationdifferentiable combinatorial solversconstraint satisfaction guaranteesgame level generation+3

#96

SMaRt: Improving GANs with Score Matching Regularity

Mengfei Xia, Yujun Shen, Ceyuan Yang et al.

generative adversarial networksscore matchingdata manifold learningdiffusion models+3

#97

Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning

Xiyu Wang, Baijiong Lin, Daochang Liu et al.

diffusion probabilistic modelsfew-shot image generationadversarial noise selectiontransfer learning+3

#98

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

Yufei Wang, Zhou Xian, Feng Chen et al.

generative simulationrobotic skill learningfoundation modelstask generation+4

#99

MS$^3$D: A RG Flow-Based Regularization for GAN Training with Limited Data

Jian Wang, Xin Lan, Yuxin Tian et al.

generative adversarial networkslimited data trainingrenormalization group flowgradient pattern analysis+3

#100

Towards Neural Architecture Search through Hierarchical Generative Modeling

Lichuan Xiang, Łukasz Dudziak, Mohamed Abdelfattah et al.

neural architecture searchgenerative modelingconditional normalizing flowtransformer-based generation+4