Overview

Diffusion guidance studies how to steer a pretrained denoising or flow model during sampling toward a condition or objective, enabling controllable generation and inverse-problem solutions without rebuilding the generator. Common approaches include classifier-free and contrastive score guidance, gradients from rewards, energies, or measurement residuals, and particle or optimization methods; applications range from text-to-image alignment and image restoration to robot motion, molecular design, and safe planning. Recent work also uses adaptive schedules, uncertainty- or geometry-aware corrections, and internal model features to reduce extra evaluations and handle nondifferentiable or spatially localized constraints. A central tension is balancing condition satisfaction against fidelity, diversity, and staying on the learned data manifold, while controlling sensitivity to guidance weights, approximate gradients, and sampling cost.

Latest papers

CardsList

114 papers19 papers in the last four weeks, up 138% on the four weeks before. 0.1% of all new papers.

  1. ExecDiffuser: Closing the Sample-to-Execution Gap in Diffusion Planning

    Oct 27, 2026Shuo Pei, Bosun Liang, Saihui Zha +3Autonomous Driving PlanningDiffusion-Based Planning

  2. EGGPlacer: Energy-Guided Generative Chip Placement with Diffusion Models

    Oct 22, 2026Qi Zhou, Guojun Liu, Juanhong Zhao +3Electronic Design AutomationMacro Placement

  3. VideoMaMa++: Temporally Consistent Video Matting via Preserve-and-Refine Token

    Oct 19, 2026Sangbeom Lim, Seoung Wug Oh, Heeji Yoon +2Temporal ConsistencyVideo Diffusion Models

  4. Reflection-Guided Dynamics Rectification for Text-to-Image Generation

    Oct 18, 2026Shuo Xu, Hanrui Ying, Debin Liu +2T2I GenerationT2I Diffusion Models

  5. Quantile-Guided Diffusion for Probabilistic Time-Series Forecasting

    Oct 14, 2026Shadi Omari, Bashar Khoury, Assaf SchusterProbabilistic Time Series ForecastingDiffusion Guidance

  6. MOSAIC: Mode- and Support-Aware Inference-Time Control of Robot Diffusion Models

    Oct 12, 2026Sabrina Bodmer, Rahel Rickenbach, René Zurbrügg +2Inference-Time GuidanceDiffusion Guidance

  7. CFG-Policy: Unified Diffusion Policy Learning Framework via Classifier-free Guidance

    Oct 10, 2026Shutong Ding, Zhaoyang Liu, Yimiao Zhou +3Diffusion PolicyRobotic RL

  8. BridgeGuard: Explicit Safety Drift for Diffusion-based Autonomous Driving

    Oct 8, 2026Zhenjun Qiu, Jianing Huang, Dongang Liu +6Safe Motion PlanningDiffusion-Based Planning

  9. Anatomy-preserving unpaired cone-beam CT refinement for image-guided radiotherapy using pseudo-label guided diffusion

    Oct 5, 2026Qi Lai, Yutong HeCone-Beam CTDiffusion Guidance

  10. Getting Your Guidance Weights Right in diffusion and flow-matching posterior sampling

    Oct 2, 2026Liam Moroy, Jean-François Giovannelli, Yoann Altmann +3Diffusion Posterior SamplingDiffusion Guidance

  11. ODDR: One-Step Deshadow Diffusion via Reward Guidance

    Oct 1, 2026Junseong Shin, Kijun Kim, Minseong Kim +2Synthetic-to-Real Domain AdaptationDiffusion Models for Image Restoration

  12. Specificity-Aware Diffusion Steering via Variance-Reduced Sequential Monte Carlo

    Sep 30, 2026Luran Wang, Linrui Ma, Hannes Stärk +1Diffusion Model GuidanceDiffusion Guidance

  13. FairDiff: Mitigating the Self-Reinforcing Matthew Effect in Diffusion Recommender Models

    Sep 29, 2026Song-Li Wu, Xianquan Wang, Zhaocheng Du +2Diffusion GuidanceAlgorithmic Fairness

  14. Trajectory-Level Mode Guidance for Controllable Diffusion-Based Multi-Robot Motion Planning

    Sep 29, 2026Tianyou Yu, Shengze Cai, Chao XuMulti-Robot Motion PlanningTrajectory Generation

  15. Persistence Forcing: Exploiting Feature Specialization in Pixel-Space Diffusion

    Sep 28, 2026Chong Wang, Zixuan Fu, Shiqi Huang +3Diffusion TransformerDiffusion Guidance

  16. RIDE: Reference-Anchored Inference-Time Diffusion Editing for Scaffold Hopping

    Sep 28, 2026Ruoxi Gao, Frazier N. Baker, Trieu Nguyen +1Diffusion GuidanceStructure-Based Drug Design

  17. Domain-adaptive Zero-Shot Image Enhancement via Locality-Constrained Diffusion Guidance

    Sep 28, 2026Theresa Neubauer, Dimitrios Lenis, Astrid Berg +7Diffusion Model GuidanceImage Enhancement

  18. Attention-Scoped Guidance: Training-Free Spatial Control for Image Editing

    Sep 28, 2026Zeyan Li, Wei Zhou, Hadi Amirpour +3Classifier-Free GuidanceText-Guided Image Editing

  19. ReGDiff: Guided Diffusion in Regulated Latent Space for Exploring Metamaterial Voxel Geometry

    Sep 28, 2026Wangzhi Zhan, Jianpeng Chen, Dongqi Fu +1Diffusion GuidanceMaterials Science

  20. Flat-Consensus Diffusion for Robust Data Reshaping under Noisy Evaluator

    Sep 26, 2026Hongyu Cao, Kunpeng Liu, Fei Xie +1Automated Feature EngineeringDiffusion Guidance

  21. ANaLOG: Anisotropic Native-Latent Operator Guidance for Solving Inverse Problems

    Sep 25, 2026Darshan Thaker, Lachlan Ewen MacDonald, René VidalDiffusion Model GuidanceDiffusion-Based Inverse Problems

  22. Budgeted Quotient-Residual Guidance for Frozen Pocket-Conditioned Molecular Diffusion

    Sep 25, 2026Xinyu Wang, Jinbo Bi, Minghu SongDiffusion GuidanceMolecular Generation

  23. PredActor: Predictive Action Diffusion for Steerable Onboard Humanoid Control

    Sep 21, 2026Lei Ye, Haibo Gao, Yitang Li +10Diffusion GuidanceHumanoid Robot Control

  24. Geometry-Aware Diffusion Guidance via Curvature-Adaptive Tubular Correction

    Sep 18, 2026Enze Jiang, Jinwei He, Zheng MaDiffusion GuidanceDiffusion-Based Inverse Problems

  25. How to Guide Your Language Flow

    Sep 16, 2026Rohit Dilip, Tianrong Chen, Yuyang Wang +3Flow MatchingDiffusion Model Guidance

  26. ProtoGuide: Prototype-Driven Guidance for Class-Conditional Graph Generation

    Sep 14, 2026Salvatore Romano, Marco Grassia, Pietro Liò +1Graph GenerationDiffusion Guidance

  27. SwiftExplorer: Training-free Diffusion Model Alignment with Swift Diversity Exploration

    Sep 6, 2026Renye Yan, Jikang Cheng, You Wu +5Diffusion Model AlignmentDiffusion Model Guidance

  28. Denoising as Projection: Constrained Optimization with Gradient-Guided Diffusion

    Aug 30, 2026Runyu Zhang, Jiawei Zhang, Gioele Zardini +2Riemannian OptimizationDiffusion Guidance