Generative Adversarial Networks

ICML 2024arXiv:2311.01455

#2

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

188

ICLR 2024arXiv:2310.00429

#3

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

Quentin Bertrand, Joey Bose, Alexandre Duplessis et al.

79

ECCV 2024arXiv:2405.05967

#4

Distilling Diffusion Models into Conditional GANs

Minguk Kang, Richard Zhang, Connelly Barnes et al.

diffusion model distillationconditional ganssingle-step generationpaired image translation+4

77

AAAI 2024arXiv:2309.01728

#5

Generative-Based Fusion Mechanism for Multi-Modal Tracking

Zhangyong Tang, Tianyang Xu, Xiaojun Wu et al.

69

CVPR 2024arXiv:2311.17857

#6

Gaussian Shell Maps for Efficient 3D Human Generation

Rameen Abdal, Wang Yifan, Zifan Shi et al.

67

ECCV 2024arXiv:2307.12499

#7

AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models

Xuelong Dai, Kaisheng Liang, Bin Xiao

59

NEURIPS 2025arXiv:2506.09350

#8

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

Shanchuan Lin, Ceyuan Yang, Hao He et al.

44

CVPR 2024arXiv:2402.19387

#9

SeD: Semantic-Aware Discriminator for Image Super-Resolution

Bingchen Li, Xin Li, Hanxin Zhu et al.

42

CVPR 2024arXiv:2403.20142

#10

StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation

Sidi Wu, Yizi Chen, Loic Landrieu et al.

image-to-image translationnon-bijective translationsemantic consistencycycle consistency+3

26

ECCV 2024arXiv:2407.13863

#11

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

Yixiang Qiu, Hao Fang, Hongyao Yu et al.

25

ICLR 2024arXiv:2301.12811

#12

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer

Yuhta Takida, Masaaki Imaizumi, Takashi Shibuya et al.

25

CVPR 2024arXiv:2405.04356

#13

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

Jihyun Kim, Changjae Oh, Hoseok Do et al.

diffusion modelsgan inversionmulti-modal generationface image generation+4

24

AAAI 2024arXiv:2305.06671

#14

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

AAAI 2024arXiv:2304.09595

#15

AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs

Shengrui Li, Xueting Han, Jing Bai

23

CVPR 2024arXiv:2312.16837

#16

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

Biwen Lei, Kai Yu, Mengyang Feng et al.

23

ICML 2024arXiv:2402.11778

#17

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

22

ICLR 2024arXiv:2311.01462

#18

Idempotent Generative Network

Assaf Shocher, Amil Dravid, Yossi Gandelsman et al.

22

ICLR 2024arXiv:2310.03419

#19

Pre-Training and Fine-Tuning Generative Flow Networks

Ling Pan, Moksh Jain, Kanika Madan et al.

21

CVPR 2024arXiv:2402.17563

#20

Structure-Guided Adversarial Training of Diffusion Models

Ling Yang, Haotian Qian, Zhilong Zhang et al.

20

ICLR 2025arXiv:2403.12931

#21

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

Yihong Luo, Xiaolong Chen, Xinghua Qu et al.

text-to-image synthesisone-step generationdiffusion gansself-cooperative learning+3

20

AAAI 2024arXiv:2312.13583

#22

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

19

ICLR 2024arXiv:2212.02963

#23

Image Inpainting via Iteratively Decoupled Probabilistic Modeling

Wenbo Li, Xin Yu, Kun Zhou et al.

17

ECCV 2024arXiv:2409.00342

#24

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation

Zanlin Ni, Yulin Wang, Renping Zhou et al.

token-based generationnon-autoregressive transformersadaptive generation policymarkov decision process+3

CVPR 2024arXiv:2312.13314

#25

Unlocking Pre-trained Image Backbones for Semantic Image Synthesis

Tariq Berrada, Jakob Verbeek, camille couprie et al.

CVPR 2024arXiv:2312.00739

#26

Adversarial Score Distillation: When score distillation meets GAN

Min Wei, Jingkai Zhou, Junyao Sun et al.

score distillation samplingclassifier-free guidancewasserstein ganadversarial distillation+3

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

#27

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

Lujun Li, Haosen SUN, Shiwen Li et al.

ECCV 2024

CVPR 2024arXiv:2404.02788

#28

GenN2N: Generative NeRF2NeRF Translation

Xiangyue Liu, Han Xue, Kunming Luo et al.

nerf translationtext-driven editinggenerative modelsvae-gan architecture+4

CVPR 2025arXiv:2309.03904

#29

Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis

Jiapeng Zhu, Ceyuan Yang, Kecheng Zheng et al.

ECCV 2024arXiv:2407.10179

#30

CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks

Hao Fang, Jiawei Kong, Bin Chen et al.

CVPR 2024arXiv:2401.02411

#31

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.

neural volume rendering3d-aware ganshigh-resolution 3d geometrylearning-based samplers+3

CVPR 2024arXiv:2405.09879

#32

Generative Unlearning for Any Identity

Juwon Seo, Sung-Hoon Lee, Tae-Young Lee et al.

AAAI 2024arXiv:2309.07708

#33

Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context

Haochong Xia, Shuo Sun, Xinrun Wang et al.

14

CVPR 2024arXiv:2312.06663

#34

CAD: Photorealistic 3D Generation via Adversarial Distillation

Ziyu Wan, Despoina Paschalidou, Ian Huang et al.

13

ICML 2025arXiv:2503.01103

#35

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

Kaiwen Zheng, Yongxin Chen, Huayu Chen et al.

13

ICML 2025arXiv:2502.09263

#36

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

Yuankai Luo, Lei Shi, Xiao-Ming Wu

13

CVPR 2024arXiv:2403.04321

#37

Discriminative Probing and Tuning for Text-to-Image Generation

Leigang Qu, Wenjie Wang, Yongqi Li et al.

12

NEURIPS 2025arXiv:2506.00874

#38

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection

Yue Zhou, Xinan He, Kaiqing Lin et al.

aigc image detectionlatent prior biasadversarial trainingdiffusion models+4

12

AAAI 2024arXiv:2312.14776

#39

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

ICCV 2025arXiv:2503.19480

#40

GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers

Shijie Ma, Yuying Ge, Teng Wang et al.

generative modelscontrastive language-image pre-trainingrepresentation enhancementconditioning mechanisms+3

10

CVPR 2025arXiv:2503.19906

#41

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

Divya Saxena, Jiannong Cao, Jiahao Xu et al.

AvatarArtist: Open-Domain 4D Avatarization

Hongyu Liu, Xuan Wang, Ziyu Wan et al.

10

ICML 2025arXiv:2501.01073

#43

Graph Generative Pre-trained Transformer

Xiaohui Chen, Yinkai Wang, JIAXING HE et al.

9

ICLR 2025arXiv:2503.01931

#44

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

9

ICML 2024arXiv:2406.02435

#45

Generative Active Learning for Long-tailed Instance Segmentation

Muzhi Zhu, Chengxiang Fan, Hao Chen et al.

instance segmentationlong-tailed learninggenerative modelsactive learning+4

ICML 2025arXiv:2402.14009

#46

Geometry-Informed Neural Networks

Arturs Berzins, Andreas Radler, Eric Volkmann et al.

CVPR 2024arXiv:2302.04871

#47

In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing

Yiran Xu, Zhixin Shu, Cameron Smith et al.

3d-aware gansgan inversionneural radiance fieldsvolumetric decomposition+3

ICML 2024arXiv:2311.18208

#48

SMaRt: Improving GANs with Score Matching Regularity

Mengfei Xia, Yujun Shen, Ceyuan Yang et al.

generative adversarial networksscore matchingdata manifold learningdiffusion models+3

CVPR 2024arXiv:2403.00939

#49

G3DR: Generative 3D Reconstruction in ImageNet

Pradyumna Reddy, Ismail Elezi, Jiankang Deng

generative 3d reconstructiondepth regularizationnovel view synthesislanguage-vision models+3

AAAI 2025arXiv:2412.12483

#50

AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks

Shibing Mo, Kai Wu, Qixuan Gao et al.

spectral graph neural networksgraph neural architecture searchpropagation mechanism discoveryheterogeneous graph processing+3

CVPR 2025arXiv:2404.03632

#51

Reference-Based 3D-Aware Image Editing with Triplanes

Bahri Batuhan Bilecen, Yiğit Yalın, Ning Yu et al.

triplane-based architectures3d-aware image editingreference-based editingspatial disentanglement+4

ICML 2024arXiv:2306.06210

#52

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

CVPR 2024arXiv:2402.17065

#53

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

Saeed Khorram, Mingqi Jiang, Mohamad Shahbazi et al.

ECCV 2024arXiv:2407.12292

#54

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

NEURIPS 2025arXiv:2505.16130

#55

Generative Graph Pattern Machine

Zehong Wang, Zheyuan Zhang, Tianyi Ma et al.

graph neural networksmessage-passing limitationsgenerative transformer pre-traininggraph representation learning+4

6

CVPR 2024arXiv:2404.00521

#56

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

Yao Ni, Piotr Koniusz

6

CVPR 2024arXiv:2404.07474

#57

G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images

Zixiong Huang, Qi Chen, Libo Sun et al.

6

ECCV 2024arXiv:2407.11966

#58

Procedural Level Generation with Diffusion Models from a Single Example

Shiqi Dai, Xuanyu Zhu, Naiqi Li et al.

Efficient Training with Denoised Neural Weights

Yifan Gong, Zheng Zhan, Yanyu Li et al.

weight initializationgenerative adversarial networksdiffusion modelsimage-to-image translation+2

ECCV 2024arXiv:2312.02647

#60

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

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

AAAI 2025arXiv:2412.17856

#61

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

Xidan Zhang, Yihan Zhuang, Qian Guo et al.

Graph Structure Refinement with Energy-based Contrastive Learning

Xianlin Zeng, Yufeng Wang, Yuqi Sun et al.

ECCV 2024arXiv:2403.06517

#63

Active Generation for Image Classification

Tao Huang, Jiaqi Liu, Shan You et al.

image classificationdiffusion modelsactive learningattentive image guidance+4

ICML 2024arXiv:2403.01666

#64

Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization

Zhipeng Xu, De Cheng, XINYANG JIANG 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:2505.09768

#66

Self-Consuming Generative Models with Adversarially Curated Data

Xiukun Wei, Xueru Zhang

ICLR 2025arXiv:2408.08307

#67

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

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

ICML 2025arXiv:2506.09376

#68

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

Bowen Zheng, Tianming Yang

ICLR 2025arXiv:2410.03461

#69

Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation

Tobias Leemann, Periklis Petridis, Giuseppe Vietri et al.

retrieval-augmented generationgrounding verificationnatural language inferenceunsupervised domain adaptation+2

AAAI 2025arXiv:2501.01106

#70

AIM: Additional Image Guided Generation of Transferable Adversarial Attacks

Teng Li, Xingjun Ma, Yu-Gang Jiang

adversarial attackstransferable attackstargeted attacksgenerative approaches+3

AAAI 2025arXiv:2412.16901

#71

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

Qi Deng, Shuaicheng Niu, Ronghao Zhang et al.

test-time adaptationlearning to optimizegradient memory layerunsupervised learning objectives+4

AAAI 2024arXiv:2308.10273

#72

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

continuous conditional gansnegative data augmentationgenerative adversarial networkslabel consistency+4

NEURIPS 2025arXiv:2509.15185

#73

Exploring Guided Sampling of Conditional GANs

Yifei Zhang, Mengfei Xia, Yujun Shen et al.

Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation

Xiaoyu Yue, ZiDong Wang, Yuqing Wang et al.

ICCV 2025arXiv:2507.10855

#75

Sparse Fine-Tuning of Transformers for Generative Tasks

Wei Chen, Jingxi Yu, Zichen Miao et al.

sparse fine-tuningfeature dictionary atomstext-to-image generationimage editing+4

AAAI 2025arXiv:2403.05966

#76

Can Generative Models Improve Self-Supervised Representation Learning?

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

ECCV 2024arXiv:2404.05705

#77

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

XINYA CHEN, Hanlei Guo, Yanrui Bin et al.

AAAI 2024arXiv:2402.14398

#78

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

Hao Li, Mengqi Huang, Lei Zhang et al.

ICML 2024arXiv:2408.05885

#79

GFlowNet Training by Policy Gradients

Puhua Niu, Shili Wu, Mingzhou Fan et al.

generative flow networkspolicy gradient methodsflow balance constraintbackward policy design+4

AAAI 2025arXiv:2405.17191

#80

MCGAN: Enhancing GAN Training with Regression-Based Generator Loss

Baoren Xiao, Hao Ni, Weixin Yang

gan training stabilitygenerator loss functionsregression-based supervisiondiscriminator output analysis+4

ECCV 2024arXiv:2405.11614

#81

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

Sangyeop Yeo, Yoojin Jang, Jaejun Yoo

latent representation consistencygan training stabilityimage generation qualityinverse process modeling+3

#82

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

Shengke Sun, Ziqian Luan, Zhanshan Zhao et al.

ECCV 2024

AAAI 2024arXiv:2312.10366

#83

Fusing Conditional Submodular GAN and Programmatic Weak Supervision

Kumar Shubham, Pranav Sastry, AP Prathosh

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

AAAI 2025arXiv:2306.06909

#84

Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience

Ao Liu, Wenshan Li, Tao Li et al.

ICML 2024arXiv:2307.16422

#85

ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing

Kartik Thakral, Shashikant Prasad, Stuti Aswani et al.

AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization

Haibo Chen, Xin Wang, Zeyang Zhang 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:2408.11135

#88

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

ICML 2024arXiv:2310.02442

#89

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

ICCV 2025arXiv:2510.14230

#90

LOTA: Bit-Planes Guided AI-Generated Image Detection

Renxi Cheng, Hongsong Wang, Yang Zhang et al.

CVPR 2025arXiv:2503.24282

#91

Style Quantization for Data-Efficient GAN Training

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

style space quantizationconsistency regularizationlatent space discretizationoptimal transport alignment+3

AAAI 2025arXiv:2412.19543

#92

Generative Adversarial Diffusion

U-Chae Jun, Jaeeun Ko, Jiwoo Kang

Diverse Rare Sample Generation with Pretrained GANs

Subeen Lee, Jiyeon Han, Soyeon Kim et al.

rare sample generationpretrained gansgradient-based optimizationnormalizing flows+4

NEURIPS 2025arXiv:2505.17590

#94

CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis

Florian Barthel, Wieland Morgenstern, Paul Hinzer et al.

3d gaussian splattinghuman head synthesisview-conditioningmulti-view regularization+4

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

#95

EpipolarGAN: Omnidirectional Image Synthesis with Explicit Camera Control

Christopher May, Daniel Aliaga

ECCV 2024

NEURIPS 2025arXiv:2510.24262

#96

UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation

Jiyu Guo, Shuo Yang, Yiming Huang et al.

generative data augmentationtask-specific utilitydual-level optimizationweight allocation network+4

NEURIPS 2025arXiv:2506.19741

#97

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

Yihong Luo, Shuchen Xue, Tianyang Hu et al.

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

#98

A Large-scale Training Paradigm for Graph Generative Models

Yu Wang, Ryan Rossi, Namyong Park et al.

ICLR 2025

ICML 2025arXiv:2405.17130

#99

Explaining the role of Intrinsic Dimensionality in Adversarial Training

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

generative adversarial networksadversarial training frameworkpreference learninguser preference modeling+4

#100

Generative Adversarial Ranking Nets

Yinghua Yao, Yuangang Pan, Jing Li et al.

ICLR 2025