Key papers

• Diffusion Posterior Sampling for General Noisy Inverse Problems (2022)
  Hyungjin Chung et al.
  11.59
• Diffusion Models: A Comprehensive Survey of Methods and Applications (2022)
  Ling Yang et al.
  11.56
• tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow (2018)
  You Xie et al.
  10.12
• Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models (2025)
  Jinjin Zhang et al.
  9.98
• Invertible generative models for inverse problems: mitigating representation error and dataset bias (2019)
  Muhammad Asim et al.
  8.66
• One-step Diffusion Models with $f$-Divergence Distribution Matching (2025)
  Yilun Xu et al.
  8.65
• Contrastive Flow Matching (2025)
  George Stoica et al.
  8.18
• Generative Modeling via Drifting (2026)
  Mingyang Deng et al.
  7.41
• Glance: Accelerating Diffusion Models with 1 Sample (2025)
  Zhuobai Dong et al.
  6.83
• Arbitrary-steps Image Super-resolution via Diffusion Inversion (2024)
  Zongsheng Yue et al.
  6.61
• Automated Tuning for Diffusion Inverse Problem Solvers without Generative Prior Retraining (2025)
  Ya\c{s}ar Utku Al\c{c}alar et al.
  5.93
• Modular MeanFlow: Towards Stable and Scalable One-Step Generative Modeling (2025)
  Haochen You et al.
  5.87
• Gemma 4 Technical Report (2026)
  Gemma Team et al.
  5.49
• A Wavelet Diffusion GAN for Image Super-Resolution (2024)
  Lorenzo Aloisi and Luigi Sigillo and Aurelio Uncini and Danilo Comminiello
  5.37
• Removing Structured Noise with Diffusion Models (2023)
  Tristan S.W. Stevens et al.
  5.30
• eXact-Prior Variational Autoencoder (X-VAE): Learning Data-Adaptive Gaussian Mixture Priors for Latent Distributions (2026)
  Qijun Chen et al.
  5.01
• Adversarial Style Optimization: Enhancing VLM Jailbreaks by GRPO-based Stylistic Triggers Optimization (2026)
  Bingjun Luo et al.
  5.01
• Hash-QNeRF: Multiresolution Hash Encoding for Quantum Neural Radiance Fields (2026)
  Digonto Biswas et al.
  5.01
• Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On (2026)
  Yong Liu et al.
  5.01
• Prior laundering: learned priors with inherited, undetectable overconfidence (2026)
  Ali Siahkoohi et al.
  5.01
• TextSLIP: Text Self-Supervised CLIP for Medical Report Generation (2026)
  Haoyu Jiang et al.
  5.01
• Visual Saliency Steering Distillation for Multimodal Chain-of-Thought Reasoning (2026)
  Hao Yang et al.
  5.01
• FAIR: Feature-Augmented Implicit Regularization for AI-generated Fake Image Detection (2026)
  Md Redwanul Haque et al.
  5.01
• Spectral Prior for Reducing Exposure Bias in Diffusion Models (2026)
  Yuya Kobayashi et al.
  5.01
• InnoText: A Unified Model for Visual Text Generation and Editing (2026)
  Haowei Liu et al.
  5.01
• Twins: Learn to Predict Unified Representations with Focal Loss (2026)
  Kaixiong Gong et al.
  5.01
• VideoRAE: Taming Video Foundation Models for Generative Modeling via Representation Autoencoders (2026)
  Zhihao Xie et al.
  5.00
• Projected Coupled Diffusion for Test-Time Constrained Joint Generation (2025)
  Hao Luan et al.
  4.97
• SupResDiffGAN a new approach for the Super-Resolution task (2025)
  Dawid Kope\'c et al.
  4.87
• GenDR: Lighten Generative Detail Restoration (2025)
  Yan Wang et al.
  4.82
• Learning Diffusion Priors from Observations by Expectation Maximization (2024)
  Fran\c{c}ois Rozet et al.
  4.74
• 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
• A Mathematical Introduction to Diffusion Models (2026)
  Jianfeng Lu
  4.39
• Population-Based Multi-Objective Training of Discriminators for Semi-Supervised GANs (2026)
  Francisco Sede\~no et al.
  4.39
• Fast determinantal sampling on general spaces and diffusion geometry (2026)
  Hoang-Son Tran et al.
  4.39
• ReGen: Hierarchical Multi-Prompt Representation Generation for Efficient Waveform Diffusion Models (2026)
  Sang-Hoon Lee et al.
  4.39
• Autoregressive latent diffusion for 3D molecule generation (2026)
  Federico Ottomano et al.
  4.39
• When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training (2026)
  Na Li et al.
  4.39
• Adaptive Multi-Step Lookahead Decoding for Diffusion Language Models (2026)
  Yingqian Cui et al.
  4.39
• Provable diffusion-based posterior sampling for linear inverse problems via DDIM (2026)
  Yuchen Jiao et al.
  4.39
• MotifRole-Diff: Risk-Optimal Role-Aware Corruption for Masked Molecular Graph Diffusion (2026)
  Tasfia Nuzhat Ornee et al.
  4.39
• From Perturbation Correction to Geometry-Aware Sampling: Sharpness-Guided Equilibrium Sampling for Balanced Flat Minima in Long-Tailed Learning (2026)
  Jiaxin Deng et al.
  4.39
• DCS: A Unified Conditional Sensitivity Framework for Cross-Modal Copyright Infringement Detection (2026)
  Xiafeng Man
  4.39
• Catastrophic Compositional Generation: Why Vanilla Diffusion Models Fail to Extrapolate (2026)
  Duncan Soiffer et al.
  4.33
• Variational Autoencoder Layer (2026)
  Gananath R
  4.33
• Latent Process Generator Matching (2026)
  Lukas Billera et al.
  4.27
• DiLaDiff: Distilled Latent-Augmented Diffusion for Language Modeling (2026)
  Jean-Marie Lemercier et al.
  4.27
• Unsupervised Diffusion Solver for Combinatorial Optimization via Combinatorial Adjoint Matching (2026)
  Shengyu Feng et al.
  4.27
• Guidance for Low-Level Perceptual Editing in Unconditional Diffusion Models (2026)
  Shreyansh Modi et al.
  4.27
• SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization (2025)
  Th\'eophane Vallaeys et al.
  4.22
• The Diffusion Encoder (2026)
  Akhil Premkumar et al.
  4.20
• GenLCA: 3D Diffusion for Full-Body Avatars from In-the-Wild Videos (2026)
  Yiqian Wu et al.
  4.09
• ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion (2025)
  Sungho Koh et al.
  4.03
• Diffusion Models Are Real-Time Game Engines (2024)
  Dani Valevski et al.
  3.97
• One-step Latent-free Image Generation with Pixel Mean Flows (2026)
  Yiyang Lu et al.
  3.92
• Conditional Variational Diffusion Models (2023)
  Gabriel della Maggiora et al.
  3.91
• Simplified and Generalized Masked Diffusion for Discrete Data (2024)
  Jiaxin Shi et al.
  3.86
• Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation (2025)
  Anshuk Uppal et al.
  3.86