Key papers

• tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow (2018)
  You Xie et al.
  10.12
• Invertible generative models for inverse problems: mitigating representation error and dataset bias (2019)
  Muhammad Asim et al.
  8.66
• SUNLayer: Stable denoising with generative networks (2018)
  Ruhui Jin et al.
  8.35
• A Review on Generative AI For Text-To-Image and Image-To-Image Generation and Implications To Scientific Images (2025)
  Zineb Sordo and Eric Chagnon and Daniela Ushizima
  7.58
• Generative Modeling via Drifting (2026)
  Mingyang Deng et al.
  7.41
• Super-Resolution of 3D Micro-CT Images Using Generative Adversarial Networks: Enhancing Resolution and Segmentation Accuracy (2025)
  Evgeny Ugolkov et al.
  6.52
• A Wavelet Diffusion GAN for Image Super-Resolution (2024)
  Lorenzo Aloisi and Luigi Sigillo and Aurelio Uncini and Danilo Comminiello
  5.37
• FAIR: Feature-Augmented Implicit Regularization for AI-generated Fake Image Detection (2026)
  Md Redwanul Haque et al.
  5.01
• SupResDiffGAN a new approach for the Super-Resolution task (2025)
  Dawid Kope\'c et al.
  4.87
• LS-GAN: Human Motion Synthesis with Latent-space GANs (2025)
  Avinash Amballa et al.
  4.71
• The GAN is dead; long live the GAN! A Modern GAN Baseline (2025)
  Yiwen Huang et al.
  4.71
• Nepotistically Trained Generative-AI Models Collapse (2023)
  Matyas Bohacek and Hany Farid
  4.40
• Population-Based Multi-Objective Training of Discriminators for Semi-Supervised GANs (2026)
  Francisco Sede\~no et al.
  4.39
• SpiS-GAN: Spiral-Modulated Handwriting Synthesis with Star Operation (2026)
  Nguyen Duy Hieu et al.
  4.39
• Latent graph encoding of multimodal neuroimaging features with generative AI architectures (2026)
  Ishaan Batta et al.
  4.39
• I2VShield: An Efficient Proactive Defense Framework against DiT-based Image-to-Video Models (2026)
  Yimao Guo et al.
  4.39
• Generative adversarial neural networks for simulating neutrino interactions (2025)
  Jose L. Bonilla et al.
  4.25
• On the Statistical Capacity of Deep Generative Models (2025)
  Edric Tam et al.
  4.19
• Memory-Efficient 3D High-Resolution Medical Image Synthesis Using CRF-Guided GANs (2025)
  Mahshid Shiri et al.
  3.64
• Generation of non-stationary stochastic fields using Generative Adversarial Networks (2022)
  Alhasan Abdellatif et al.
  3.19
• Molecular Generative Adversarial Network with Multi-Property Optimization (2024)
  Huidong Tang et al.
  3.09
• Bridging GANs and Bayesian Neural Networks via Partial Stochasticity (2025)
  Maurizio Filippone and Marius P. Linhard
  2.93
• fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting (2025)
  Alicia Durrer et al.
  2.93
• Generalized Dual Discriminator GANs (2025)
  Penukonda Naga Chandana et al.
  2.93
• Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations (2025)
  Ruijie Wang et al.
  2.76
• A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy (2023)
  Forough Fazeli-Asl and Michael Minyi Zhang
  2.64
• Multivariate Time Series Anomaly Detection using DiffGAN Model (2025)
  Guangqiang Wu and Fu Zhang
  2.60
• A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs (2025)
  Chang Wan et al.
  2.60
• MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation (2023)
  Dominik Zimny et al.
  2.53
• Generative Bayesian Inference with GANs (2022)
  Yuexi Wang et al.
  2.26
• RATLIP: Generative Adversarial CLIP Text-to-Image Synthesis Based on Recurrent Affine Transformations (2024)
  Chengde Lin et al.
  2.21
• Robust Generative Learning with Lipschitz-Regularized $\alpha$-Divergences Allows Minimal Assumptions on Target Distributions (2024)
  Ziyu Chen et al.
  2.21
• DiffusionAct: Controllable Diffusion Autoencoder for One-shot Face Reenactment (2024)
  Stella Bounareli et al.
  2.10
• Diff-CA: Separating Common and Salient Factors with Diffusion Models (2026)
  Micha\"el Soumm et al.
  1.94
• TUDSR: Twice Upsampling-Diffusion for Higher Super-Resolution (2026)
  Zhiqiang Wu et al.
  1.94
• FitDiff: Robust monocular 3D facial shape and reflectance estimation using Diffusion Models (2023)
  Stathis Galanakis et al.
  1.93
• On the Wasserstein Gradient Flow Interpretation of Drifting Models (2026)
  Arthur Gretton et al.
  1.89
• Improving Generative Adversarial Networks with Self-Distillation (2026)
  Antoni Nowinowski et al.
  1.89
• The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer (2026)
  Tianhua Chen
  1.89
• A Unifying View of Variational Generative Wasserstein Flows (2026)
  Paul Caucheteux et al.
  1.89
• Generative Texture Filtering (2026)
  Rongjia Zheng et al.
  1.83
• Brain MR Image Synthesis With 3D Multi-contrast Self-attention GAN (2026)
  Zaid A. Abod, Furqan Aziz
  1.83
• ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks (2026)
  Jo\"el K\"uchler et al.
  1.78
• Landmark Guided 4D Facial Expression Generation (2026)
  Xin Lu et al.
  1.78
• Unlearning for One-Step Generative Models via Unbalanced Optimal Transport (2026)
  Hyundo Choi et al.
  1.78
• DSS-GAN: Directional State Space GAN with Mamba backbone for Class-Conditional Image Synthesis (2026)
  Aleksander Ogonowski et al.
  1.78
• Epistemic Generative Adversarial Networks (2026)
  Muhammad Mubashar and Fabio Cuzzolin
  1.78
• Seasoning Generative Models for a Generalization Aftertaste (2026)
  Hisham Husain et al.
  1.78
• DUO-VSR: Dual-Stream Distillation for One-Step Video Super-Resolution (2026)
  Zhengyao Lv et al.
  1.78
• Lung Nodule Image Synthesis Driven by Two-Stage Generative Adversarial Networks (2026)
  Lu Cao et al.
  1.72
• Synergizing Transport-Based Generative Models and Latent Geometry for Stochastic Closure Modeling (2026)
  Xinghao Dong et al.
  1.72
• Triggering hallucinations in model-based MRI reconstruction via adversarial perturbations (2026)
  Suna Bu\u{g}day et al.
  1.72
• Bayesian Generative Adversarial Networks via Gaussian Approximation for Tabular Data Synthesis (2026)
  Bahrul Ilmi Nasution et al.
  1.72
• DichroGAN: Towards Restoration of in-air Colours of Seafloor from Satellite Imagery (2026)
  Salma Gonzalez-Sabbagh and Antonio Robles-Kelly and Shang Gao
  1.67
• Domain Adaptation of Carotid Ultrasound Images using Generative Adversarial Network (2026)
  Mohd Usama et al.
  1.67
• Kidney Cancer Detection Using 3D-Based Latent Diffusion Models (2026)
  Jen Dusseljee et al.
  1.67
• A Usable GAN-Based Tool for Synthetic ECG Generation in Cardiac Amyloidosis Research (2026)
  Francesco Speziale et al.
  1.67
• IGAN: A New Inception-based Model for Stable and High-Fidelity Image Synthesis Using Generative Adversarial Networks (2026)
  Ahmed A. Hashim et al.
  1.67
• An Example for Domain Adaptation Using CycleGAN (2026)
  Yanhua Zhao
  1.67
• Asymmetric regularization mechanism for GAN training with Variational Inequalities (2026)
  Spyridon C. Giagtzoglou et al.
  1.67