ICML 2026 accepted papers on Image generation
429 of the 6,341 papers accepted at ICML 2026 (6.8%) are on Image generation, compared with 7.1% at ICML 2025. They fall into 7 topics.
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Topics and papers
Fast diffusion sampling · 211 papers
- One-step Latent-free Image Generation with Pixel Mean Flows (1 citation)
- A theory of learning data statistics in diffusion models, from easy to hard
- Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
- Adversarial Flow Models
- Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO
- Ambient Dataloops: Generative Models for Dataset Refinement
- Anomaly-Preference Image Generation
- Are First-Order Diffusion Samplers Really Slower? A Fast Forward-Value Approach
- AugMask: Training Diffusion Models on Incomplete Tabular Data via Stochastic Augmentation and Masking
- Balancing Understanding and Generation in Discrete Diffusion Models
- Bayesian Tensor Decomposition with Diffusion Model Prior
- Beyond Confidence: Adaptive and Coherent Decoding for Diffusion Language Models
and 199 more in the interactive map.
Autoregressive and latent generation · 91 papers
- Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models (2 citations)
- Multimodal Latent Language Modeling with Next-Token Diffusion (1 citation)
- SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes (1 citation)
- (1D) Ordered Tokens Enable Efficient Test-Time Search
- ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin
- Autoregressive Image Generation with Masked Bit Modeling
- Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing
- Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
- Compositional Generative Modeling from Decentralized Data
- Conformal Reliability: A New Evaluation Metric for Conditional Generation
- Cross-Chirality Generalization by Axial Vectors for Hetero-Chiral Protein-Peptide Interaction Design
- CSD: Content-aware Speculative Decoding for Efficient Image Generation
and 79 more in the interactive map.
Text-to-image diffusion · 58 papers
- A Unified Framework for Diffusion Model Unlearning with f-Divergence
- Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models
- Attention Sinks in Diffusion Transformers: A Causal Analysis
- Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulation
- Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
- Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive Smoothing
- Concept Removal for Frontier Image Generative Models
- Concept Removal Guidance: Evidence-Calibrated Negative Guidance for Safe Diffusion Sampling
- Diagnosing and Correcting Concept Omission in Multimodal Diffusion Transformers
- Equalized Generative Treatment: Matching f-divergences for Fairness in Generative Models
- Erased but Not Forgotten: How Backdoors Compromise Concept Erasure
- Exposing Hidden Biases in Text-to-Image Models via Automated Prompt Search
and 46 more in the interactive map.
Image restoration · 29 papers
- AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral Priors
- Bend the Basics: Degradation-Aware Deformable Tokenization for All-in-One Image Restoration
- CoD-Lite: Real-Time Diffusion-Based Generative Image Compression
- Degradation-Aware Metric Prompting for Hyperspectral Image Restoration
- Dual-View Predictive Diffusion: Lightweight Speech Enhancement via Spectrogram-Image Synergy
- Hyperspectral Image Fusion with Spectral-Band and Fusion-Scale Agnosticism
- Image Restoration via Diffusion Models with Dynamic Resolution
- Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation Nowcasting
- Light Up Your Face: A Physically Consistent Dataset and Diffusion Model for Face Fill-Light Enhancement
- Normalization-equivariant Diffusion Models: Learning Posterior Samplers From Noisy And Partial Measurements
- Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
- Resolving Blind Inverse Problems under Dynamic Range Compression via Structured Forward Operator Modeling
and 17 more in the interactive map.
Editing and style transfer · 28 papers
- AesFormer: Transform Everyday Photos into Beautiful Memories
- Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield Perspective
- CoCoEdit: Content-Consistent Image Editing via Region Regularized Reinforcement Learning
- Content-Style Identification via Differential Independence
- DirectEdit: Step-Level Accurate Inversion for Flow-Based Image Editing
- DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model
- From Statics to Dynamics: Physics-Aware Image Editing with Latent Transition Priors
- Geometrically Constrained Stenosis Editing in Coronary Angiography via Entropic Optimal Transport
- OpenGPT-4o-Image: A Comprehensive Dataset for Advanced Image Generation and Editing
- Orthogonal Concept Erasure for Diffusion Models
- PhotoAgent: Exploratory Visual Aesthetic Planning with Large Vision Models
- Polyphonia: Zero-Shot Timbre Transfer in Polyphonic Music with Acoustic-Informed Attention Calibration
and 16 more in the interactive map.
Super-resolution · 10 papers
- Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution
- Hierarchical Image Tokenization for Multi-Scale Image Super Resolution
- Joint Geometric and Trajectory Consistency Learning for One-Step Real-World Super-Resolution
- LiteVSR: Lightweight Adaptation of Frozen Diffusion Transformers for Video Super-Resolution
- PODiff: Latent Diffusion in Proper Orthogonal Decomposition Space for Scientific Super-Resolution
- Q-DiT4SR: Exploration of Detail-Preserving Diffusion Transformer Quantization for Real-World Image Super-Resolution
- Enhanced Latent-Space Adversarial Training for Super-Resolution
- One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation
- SSDCN: Spatial-Spectral Dual-Clustering-based Network for Hyperspectral Image Super-resolution
- WEVSR: Video Diffusion Generators for Real-World Video Super‑Resolution with Wavelet-Enhanced VAE Encoder
