Generative Adversarial Networks
GAN architectures and training techniques
Top Papers
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
A Generalist Agent
Jackie Kay, Sergio Gómez Colmenarejo, Mahyar Bordbar et al.
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
Yang Liu, Chuanchen Luo, Lue Fan et al.
GART: Gaussian Articulated Template Models
Jiahui Lei, Yufu Wang, Georgios Pavlakos et al.
DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation
Yuang Peng, Yuxin Cui, Haomiao Tang et al.
Distilling Diffusion Models into Conditional GANs
Minguk Kang, Richard Zhang, Connelly Barnes et al.
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks
Yingpeng Du, Di Luo, Rui Yan et al.
Improving Diffusion Models for Authentic Virtual Try-on in the Wild
Choi Yisol, Sangkyung Kwak, Kyungmin Lee et al.
MaskBit: Embedding-free Image Generation via Bit Tokens
Mark Weber, Lijun Yu, Qihang Yu et al.
Grokking as the transition from lazy to rich training dynamics
Tanishq Kumar, Blake Bordelon, Samuel Gershman et al.
HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning
Xingtong Yu, Yuan Fang, Zemin Liu et al.
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control
Yue Han, Junwei Zhu, Keke He et al.
GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking
Shu Yin, Peican Zhu, Lianwei Wu et al.
AvatarGPT: All-in-One Framework for Motion Understanding Planning Generation and Beyond
Zixiang Zhou, Yu Wan, Baoyuan Wang
GeoGaussian: Geometry-aware Gaussian Splatting for Scene Rendering
Yanyan Li, Chenyu Lyu, Yan Di et al.
Local Search GFlowNets
Minsu Kim, Yun Taeyoung, Emmanuel Bengio et al.
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
Yuru Jia, Lukas Hoyer, Shengyu Huang et al.
GAIA: Zero-shot Talking Avatar Generation
Tianyu He, Junliang Guo, Runyi Yu et al.
A-Bench: Are LMMs Masters at Evaluating AI-generated Images?
Zicheng Zhang, Haoning Wu, Chunyi Li et al.
Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation
Shanchuan Lin, Ceyuan Yang, Hao He et al.
UGG: Unified Generative Grasping
Jiaxin Lu, Hao Kang, Haoxiang Li et al.
Generalizable Human Gaussians for Sparse View Synthesis
Youngjoong Kwon, Baole Fang, Yixing Lu et al.
Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection
Yuzhen Lin, Wentang Song, Bin Li et al.
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
Liang Wang, Xiang Tao, Qiang Liu et al.
Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities
Lorenzo Baraldi, Federico Cocchi, Marcella Cornia et al.
Soft Prompt Generation for Domain Generalization
Shuanghao Bai, Yuedi Zhang, Wanqi Zhou et al.
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
Doohyuk Jang, Sihwan Park, June Yong Yang et al.
Diffusion-driven GAN Inversion for Multi-Modal Face Image Generation
Jihyun Kim, Changjae Oh, Hoseok Do et al.
SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation
Changsheng Lv, Mengshi Qi, Xia Li et al.
WeditGAN: Few-Shot Image Generation via Latent Space Relocation
Yuxuan Duan, Li Niu, Yan Hong et al.
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection
Fan Wu, Jinling Gao, Lanqing Hong et al.
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
Sidi Wu, Yizi Chen, Loic Landrieu et al.
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
Qichao Shentu, Beibu Li, Kai Zhao et al.
SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic
Kashyap Chitta, Daniel Dauner, Andreas Geiger
Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks
Junying Wang, Hongyuan Zhang, Yuan Yuan
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Yumeng Li, Margret Keuper, Dan Zhang et al.
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data
Antonis Antoniades, Yiyi Yu, Joe Canzano et al.
Distinguished In Uniform: Self-Attention Vs. Virtual Nodes
Eran Rosenbluth, Jan Tönshoff, Martin Ritzert et al.
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
Zijie Pan, Jiachen Lu, Xiatian Zhu et al.
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
Yihong Luo, Xiaolong Chen, Xinghua Qu et al.
Condition-Aware Neural Network for Controlled Image Generation
Han Cai, Muyang Li, Qinsheng Zhang et al.
Image Inpainting via Iteratively Decoupled Probabilistic Modeling
Wenbo Li, Xin Yu, Kun Zhou et al.
Auto-GAS: Automated Proxy Discovery for Training-free Generative Architecture Search
Lujun Li, Haosen SUN, Shiwen Li et al.
Mirage: Model-agnostic Graph Distillation for Graph Classification
Mridul Gupta, Sahil Manchanda, HARIPRASAD KODAMANA et al.
Is Artificial Intelligence Generated Image Detection a Solved Problem?
Ziqiang Li, Jiazhen Yan, Ziwen He et al.
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation
Zanlin Ni, Yulin Wang, Renping Zhou et al.
Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis
Jiapeng Zhu, Ceyuan Yang, Kecheng Zheng et al.
Adversarial Score Distillation: When score distillation meets GAN
Min Wei, Jingkai Zhou, Junyao Sun et al.
Low-Light Image Enhancement via Generative Perceptual Priors
Han Zhou, Wei Dong, Xiaohong Liu et al.
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.
Online GNN Evaluation Under Test-time Graph Distribution Shifts
Xin Zheng, Dongjin Song, Qingsong Wen et al.
HEROS-GAN: Honed-Energy Regularized and Optimal Supervised GAN for Enhancing Accuracy and Range of Low-Cost Accelerometers
Yifeng Wang, Yi Zhao
Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation
Xiuding Cai, Yaoyao Zhu, Dong Miao et al.
InstructGIE: Towards Generalizable Image Editing
Zichong Meng, Changdi Yang, Jun Liu et al.
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
Kibum Kim, Kanghoon Yoon, Yeonjun In et al.
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
Kaiwen Zheng, Yongxin Chen, Huayu Chen et al.
COHO: Context-Sensitive City-Scale Hierarchical Urban Layout Generation
Liu He, Daniel Aliaga
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah et al.
LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion
Biao Zhang, Peter Wonka
Interaction Asymmetry: A General Principle for Learning Composable Abstractions
Jack Brady, Julius von Kügelgen, Sebastien Lachapelle et al.
IgGM: A Generative Model for Functional Antibody and Nanobody Design
Rubo Wang, Fandi Wu, Xingyu Gao et al.
Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection
Yue Zhou, Xinan He, Kaiqing Lin et al.
Gaussian Process Neural Additive Models
Wei Zhang, Brian Barr, John Paisley
GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians
Xiaobao Wei, Peng Chen, Ming Lu et al.
Visual Generation Without Guidance
Huayu Chen, Kai Jiang, Kaiwen Zheng et al.
Nautilus: Locality-aware Autoencoder for Scalable Mesh Generation
Yuxuan Wang, Xuanyu Yi, Haohan Weng et al.
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
Yumeng Li, William H Beluch, Margret Keuper et al.
Boosting Flow-based Generative Super-Resolution Models via Learned Prior
Li-Yuan Tsao, Yi-Chen Lo, Chia-Che Chang et al.
Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
Mihaela Stoian, Eleonora Giunchiglia
Understanding Expressivity of GNN in Rule Learning
Haiquan Qiu, Yongqi Zhang, Yong Li et al.
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Yuankai Luo, Lei Shi, Xiao-Ming Wu
On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent
Bingrui Li, Wei Huang, Andi Han et al.
Graph Generative Pre-trained Transformer
Xiaohui Chen, Yinkai Wang, JIAXING HE et al.
Diversity-aware Channel Pruning for StyleGAN Compression
Jiwoo Chung, Sangeek Hyun, Sang-Heon Shim et al.
From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes
Long Ma, Zhiyuan Yan, Jin Xu et al.
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback
Zaid Khan, Elias Stengel-Eskin, Jaemin Cho et al.
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification
Jimin Park, AHyun Ji, Minji Park et al.
Adversarial Generative Flow Network for Solving Vehicle Routing Problems
Ni Zhang, Jingfeng Yang, Zhiguang Cao et al.
Trainable Highly-expressive Activation Functions
Irit Chelly, Shahaf Finder, Shira Ifergane et al.
Generating Physically Stable and Buildable Brick Structures from Text
Ava Pun, Kangle Deng, Ruixuan Liu et al.
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile
Seokjun Lee, Seung-Won Jung, Hyunseok Seo
Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach
Jingwei Zhang, Mohammad Jalali, Cheuk Ting Li et al.
Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection
Youheng Sun, Shengming Yuan, Xuanhan Wang et al.
A Generative Approach for Wikipedia-Scale Visual Entity Recognition
Mathilde Caron, Ahmet Iscen, Alireza Fathi et al.
Ultra-Resolution Adaptation with Ease
Ruonan Yu, Songhua Liu, Zhenxiong Tan et al.
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
Sayanton Vhaduri Dibbo, Adam Breuer, Juston Moore et al.
G3DR: Generative 3D Reconstruction in ImageNet
Pradyumna Reddy, Ismail Elezi, Jiankang Deng
Generative Pre-trained Autoregressive Diffusion Transformer
Yuan Zhang, Jiacheng Jiang, Guoqing Ma et al.
Understanding Adam Requires Better Rotation Dependent Assumptions
Tianyue Zhang, Lucas Maes, Alan Milligan et al.
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement
Qimin Chen, Zhiqin Chen, Vladimir Kim et al.
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data
YUHANG LI, Youngeun Kim, Donghyun Lee et al.
3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing
Haoran Li, Long Ma, Haolin Shi et al.
Generating Multimodal Driving Scenes via Next-Scene Prediction
Yanhao Wu, Haoyang Zhang, Tianwei Lin et al.
MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization
Siyuan Li, Luyuan Zhang, Zedong Wang et al.
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
Mufei Li, Viraj Shitole, Eli Chien et al.
Efficient Training with Denoised Neural Weights
Yifan Gong, Zheng Zhan, Yanyu Li et al.
Φ-GAN:Physics-Inspired GAN for Generating SAR Images Under Limited Data
Xidan Zhang, Yihan Zhuang, Qian Guo et al.
PanoWan: Lifting Diffusion Video Generation Models to 360$^\circ$ with Latitude/Longitude-aware Mechanisms
Yifei Xia, Shuchen Weng, Siqi Yang et al.
Building Variable-Sized Models via Learngene Pool
Boyu Shi, Shiyu Xia, Xu Yang et al.
Towards Improving Exploration through Sibling Augmented GFlowNets
Kanika Madan, Alex Lamb, Emmanuel Bengio et al.