Denoising

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Image Denoising

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Discrete Diffusion Model

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Latent Diffusion Model

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Diffusion Sampling

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Score-Based Diffusion Model

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Generative Priors

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Identity-Conditioned Latent Diffusion Models

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Diffusion Priors

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Denoising Diffusion Probabilistic Model

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Denoising Trajectory

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Reward-Guided Diffusion

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Diffusion Dynamics

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1,018 papers

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ParetoPilot: Zero-Surrogate Offline Multi-Objective Optimization via Infer-Perturb-Guide Diffusion
Jun 3, 2026Ruiqing Sun, Sen Yang, Dawei Feng +3Multi-Objective Optimization Reward-Guided Diffusion
DSA: Dynamic Step Allocation for Fast Autoregressive Video Generation
Jun 3, 2026Thanh-Tung Le, Yunhan Zhao, Menglei Chai +5Autoregressive Video Diffusion Autoregressive Video Generation
Read the Trace, Steer the Path: Trajectory-Aware Reinforcement Learning for Diffusion Language Models
Jun 3, 2026Anant Khandelwal, Manish GuptaDiffusion Language Models Denoising Trajectory
Efficient and Training-Free Single-Image Diffusion Models
Jun 3, 2026Haojun Qiu, Kiriakos N. Kutulakos, David B. LindellImage Denoising Image Restoration
Reflection Separation from a Single Image via Joint Latent Diffusion
Jun 2, 2026Zheng-Hui Huang, Zhixiang Wang, Yu-Lun Liu +1Spectral Reflectance Diffusion Refinement
Optimal Transport Flow Matching by Design
Jun 2, 2026Shimon Malnick, Matan Rusanovsky, Ohad Fried +1Hierarchical Flow Matching Generative Priors
Correcting Neural Operator Spectral Bias via Diffusion Posterior Sampling with Sparse Observations
Jun 2, 2026Niccolò Perrone, Fanny Lehmann, Stefania Fresca +1Neural Operators Diffusion Sampling
Denoise First, Orthogonalize Later: Understanding Momentum in Muon via Spectral Filtering
Jun 2, 2026Xianliang Li, Zihan Zhang, Weiyang Liu +1Muon Optimizer Muon
Unified Video-Action Joint Denoising for Dexterous Action and Data Generation
Jun 2, 2026Dingrui Wang, YuAn Wang, Jinkun Liu +4Human Motion Generation Pre-Trained Video Diffusion Models
Denoising Tells When to Replan: Denoising-Variance Adaptive Chunking for Flow-Based Robot Policies
Jun 2, 2026Xiangdong Feng, Yuxuan Cheng, Chen Shi +5Action Chunks Dynamic Replanning
Diffusing in the Right Space: A Systematic Study of Latent Diffusability
Jun 2, 2026Tianxiong Zhong, Xingye Tian, Xuebo Wang +2Generative Models Diffusion Dynamics
SPADE: Sketch-guided Path Planning Augmented with Diffusion Experts
Jun 2, 2026Charbel Abi Hana, Tatiana Ghantous, Mikael Khalil +1Robot Planning Coverage Path Planning
Flicker-DDPM: Accelerating Denoising Diffusion via 1/f Colored Noise Injection
Jun 2, 2026KeXiang Mao, FanCheng LiDenoising Diffusion Probabilistic Model Discrete Diffusion Model
AugMask: Training Diffusion Models on Incomplete Tabular Data via Stochastic Augmentation and Masking
Jun 2, 2026Jungkyu Kim, Taeyoung Park, Kibok LeeMissing Data Score-Based Diffusion Model
Bayesian Tensor Decomposition with Diffusion Model Prior
Jun 2, 2026Zerui Tao, Qibin ZhaoDiffusion Priors Low-Rank Factorization
Inverting the Generation Process of Denoising Diffusion Implicit Models: Empirical Evaluation and a Novel Method
Jun 2, 2026Yan Zeng, Masanori Suganuma, Takayuki OkataniImage Denoising Reconstruction Quality
RMPrior: Bridging Propagation Priors and Diffusion Refinement for Efficient Radio Map Construction
Jun 2, 2026Zixuan Guo, Xiucheng Wang, Nan ChengHigh-Fidelity Radio Map Construction Diffusion Priors
Are we really tilting? The mechanics of reward guidance in flow and diffusion models
Jun 1, 2026Sanjit Dandapanthula, Nicholas M. BoffiReward Gradients Reward-Guided Diffusion
Improving Combined Detection and Classification of TEM Defects via Mask-Conditioned Latent Diffusion Augmentation
Jun 1, 2026Ni Li, Nuohao Liu, Ryan Jacobs +5Synthetic Data Augmentation Medical Image Generation
Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior
Jun 1, 2026Xiang Li, Dianbo Liu, Kenji KawaguchiGenerative Priors Generative Models
Hallucination-Aware Diffusion Sampling for Inverse Problems via Robust Prior Updates
Jun 1, 2026Pengfei Jin, Yiqi Tian, Kailong Fan +2Diffusion Priors Ill-Posed Inverse Problem
Measurement Geometry and Design for Trustworthy Generative Inverse Problems
Jun 1, 2026Pengfei Jin, Na Li, Quanzheng LiIll-Posed Inverse Problem Inverse Problem
BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers
Jun 1, 2026Justin Deschenaux, Caglar GulcehreDiffusion Language Models Diffusion Processes
Ultra Diffusion Poser: Diffusion-Based Human Motion Tracking From Sparse Inertial Sensors and Ranging-Based Between-Sensor Distances
Jun 1, 2026Dominik Hollidt, Tommaso Bendinelli, Christian HolzInertial Measurement Units Reward-Guided Diffusion
Equilibrated Diffusion: Frequency-aware Textual Embedding for Equilibrated Image Customization
Jun 1, 2026Liyuan Ma, Xueji Fang, Guo-Jun QiText-To-Image Diffusion Models Image Editing
Error Bounds for a Diffusion Model-Based Drift Estimator
Jun 1, 2026Ioar Casado-Telletxea, Omar RivasplataStochastic Differential Equations Estimators
Fast and Lightweight Novel View Synthesis with Differentiable Multiplane Image
Jun 1, 2026Kaidi Zhang, Guanxu ZhuNovel View Synthesis Neural Radiance Fields
Pool-Select-Refine for Allocation-Aware Generative Dataset Distillation
Jun 1, 2026Wenmin Li, Shunsuke Sakai, Zhongkai Zhao +1Discrete Diffusion Model Generative Priors
FLARE: Diffusion for Hybrid Language Model
Jun 1, 2026Yuchen Zhu, Jing Shi, Chongjian Ge +9Diffusion Language Models Image Denoising
Self-Regulating Annealing in Heavy-Tailed Diffusion Models
Jun 1, 2026Keito Wakatsuki, Hideaki ShimazakiDiffusion Sampling Discrete Diffusion Model
E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation
Jun 1, 2026Lin Jiang, Dahai Yu, Ximiao Li +1Synthetic Time Series Discrete Diffusion Model
Uncertainty-Calibrated Diffusion for Reliable 3D Molecular Graph Generation
Jun 1, 2026Fang Wan, Jingxiang Qu, Yi LiuMolecular Generation Molecular Graphs
Splatshot: 3D Face Avatar Generation from a Single Unconstrained Photo
May 31, 2026Hao Liang, Zhixuan Ge, Soumendu Majee +3Animatable 3D Human Avatars Blind Face Restoration
DiffuSent: Towards a Unified Diffusion Framework for Aspect-Based Sentiment Analysis
May 31, 2026Shu Long, Yanglei Gan, Xuchuan ZhouSentiment Analysis Autoregressive Diffusion
KG-FairDiff: Knowledge Graph-Guided Prompt Refinement for Demographically Fair Text-to-Image Generation
May 31, 2026Farbod Davoodi, Seyed Reza Tavakoli Shiyadeh, Pooria Safaei +12Demographics Latent Diffusion Model
Cross-Axis Feature Fusion with Joint-Wise Motion Difference Prediction for Text-Based 3D Human Motion Editing
May 31, 2026Gyojin Han, Junmo KimText-To-Motion Generation Synthetic Motion Datasets
Generative Multi-Robot Motion Planning via Diffusion Modeling with Multi-Agent Reinforcement Learning Guidance
May 30, 2026Suk Ki Lee, Venkata Sai Deepak Mutta, Hyunwoong KoMulti-Robot Motion Planning Diffusion Planning
Generative Diffusion Priors for 3D Mapping of the Dark Universe
May 30, 2026Brandon Zhao, Diana Scognamiglio, Olivier Doré +1Cosmology Diffusion Priors
DASH: Dual-Branch Score Distillation for Guidance-Calibrated Compact Diffusion Models
May 30, 2026Abdullah Al Shafi, Kazi Saeed Alam, Sk Imran Hossain +1Discrete Diffusion Model
Latent Diffusion Pretraining for Crystal Property Prediction
May 30, 2026Shrimon Mukherjee, Kishalay Das, Partha Basuchowdhuri +2Crystal Structure Crystal
Wavelet-Fusion Diffusion Model for Multimodal Brain MRI Synthesis with Modality and Metadata Conditioning
May 30, 2026Muhammad Nabi Yasinzai, Remika Mito, Mangor PedersenMedical Image Generation Magnetic Resonance Imaging
Score-Control for Hallucination Reduction in Diffusion Models
May 29, 2026Mahesh Bhosale, Naresh Kumar Devulapally, Abdul Wasi +3Score-Based Diffusion Model Large Language Model Hallucination
From Noise to Control: Parameterized Diffusion Policies
May 29, 2026Renhao Zhang, Haotian Fu, Mingxi Jia +3Diffusion Policies Reward-Guided Diffusion
ReFLEX: Length-Generalizable CSI Denoising for MIMO-OFDM via Relative-Frequency Bias
May 29, 2026Zhibin Zhang, Robert Potekhin, Ziwei Wan +2Channel State Information Image Denoising
KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse Problems
May 29, 2026Alireza Kheirandish, Jihoon Hong, Sara Fridovich-KeilOut-Of-Distribution Detection Distribution Shifts
TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Video Generation
May 29, 2026Ruotong Liao, Guowen Huang, Qing Cheng +6High-Fidelity Video Generation Videos
UNISON: A Unified Sound Generation and Editing Framework via Deep LLM Fusion
May 29, 2026Zhaoqing Li, Haoning Xu, Jingran Su +9Audio Latent Unison
Fixed-Point Masked Generative Modeling
May 29, 2026Andrea Miele, Yiming Qin, Alba Carballo-Castro +2Masked Diffusion Language Models Generative Models
Riemannian Diffusion Models on General Manifolds via Physics-Informed Neural Networks
May 29, 2026Gyeonghoon Ko, Juho LeeConventional Physics-Informed Neural Networks Score-Based Diffusion Model
DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression
May 29, 2026Hongxu Ma, Lin Wang, Chenghou Jin +6Generative Models Topological Data Analysis
DiffCrossGait: Trajectory-Level Alignment for 2D-3D Cross-Modal Gait Recognition via Latent Diffusion
May 29, 2026Zhiyang Lu, Ming ChengGait Recognition Cross-Modal Alignment
Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints
May 29, 2026Shervin Khalafi, Alejandro Ribeiro, Dongsheng DingSeveral Approximate Unlearning Strategies Unlearning Aims
Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning
May 29, 2026Ha Manh Bui, Metod Jazbec, Eric Nalisnick +1Offline Reinforcement Learning Diffusion Policies
Efficient Diffusion LLMs via Temporal-Spatial Parallel Decoding and Confidence Extrapolation
May 29, 2026Zekai Li, Ji Liu, Yiqing Huang +3Diffusion Language Models LLM Inference Efficiency
Diffusion Models Preferentially Memorize Prototypical Examples or: Why Does My Diffusion Model Love Slop?
May 28, 2026Marta Aparicio Rodriguez, Anastasia Borovykh, Grigorios A. Pavliotis +1Memorization Discrete Diffusion Model
Controllable Lung Nodule Synthesis via Histogram-Regularized Latent Diffusion Models
May 28, 2026Arunkumar Kannan, Yanbo Zhang, Han Liu +5Lung-Nodule Detector Medical Image Generation
Audio Pirates: Black-box Audio Watermark Removal via Diffusion Priors
May 28, 2026Lingfeng Yao, Xincong Zhong, Chenpei Huang +6Watermarking Watermarks
The Score Hamiltonian: Mapping Diffusion Models to Adiabatic Transport
May 28, 2026Peter Halmos, Boris HaninScore-Based Diffusion Model Hamiltonian
Colored Noise Diffusion Sampling
May 28, 2026Hadar Davidson, Noam Issachar, Sagie BenaimDiffusion Sampling Stochastic Differential Equations
SAM3D-Phys: Towards Multi-Object Interactive Simulation in Real World
May 28, 2026Xin Dong, Weijian Deng, Lihan Zhang +33D Reconstruction 3D Scenes

Jun 3, 2026 · cs.LGJ/K move · Enter open · S save

ParetoPilot: Zero-Surrogate Offline Multi-Objective Optimization via Infer-Perturb-Guide Diffusion

Ruiqing Sun, Sen Yang, Dawei Feng, Bo Ding+2

Offline multi-objective optimization (Offline MOO) seeks Pareto-optimal designs from static datasets without additional environment interactions. Existing generative methods typically guide sampling with external surrogate or preference models, which adds training complexity and may provide unreliable guidance. We propose ParetoPilot, a plug-and-play method that guides designs to Pareto front at inference time using a pre-trained conditional diffusion model without any surrogate. ParetoPilot introduces an Infer-Perturb-Guide (IPG) engine within the reverse diffusion process. IPG first infers the individual conditional target for each sample in the batch by aligning its conditional and unconditional predictions. It then perturbs these targets collectively across the batch, balancing convergence toward the Pareto front and diversity among samples. Finally, the engine guides the generative trajectory toward the Pareto front by injecting these perturbed targets via standard Classifier-Free Guidance (CFG). Experiments on 51 tasks demonstrate that ParetoPilot achieves the best overall ranking among 16 methods and competitive hypervolume improvement.

Multi-Objective Optimization Reward-Guided Diffusion Optimal Design Online

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