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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Primal-Dual Guided Decoding for Constrained Discrete Diffusion
May 10, 2026Federico Tomasi, Dmitrii Moor, Alice Wang +1Discrete Diffusion Model Diffusion Processes
ConFixGS: Learning to Fix Feedforward 3D Gaussian Splatting with Confidence-Aware Diffusion Priors in Driving Scenes
May 10, 2026Rui Song, Tianhui Cai, Markus Gross +5Feed-Forward 3D Gaussian Splatting Feed-Forward 3D Gaussian
Metropolis-Adjusted Diffusion Models
May 10, 2026Kevin H. Lam, Tyler Farghly, Christopher Williams +3Score-Based Diffusion Model Langevin Dynamics
Outlier-Robust Diffusion Solvers for Inverse Problems
May 10, 2026Yang Zheng, Jiahua Liu, Tongyao Pang +2Ill-Posed Inverse Problem Inverse Problem
Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs
May 10, 2026Yunhong Lu, Qichao Wang, Hengyuan Cao +2Rectified Flow Denoising Trajectory
AtteConDA: Attention-Based Conflict Suppression in Multi-Condition Diffusion Models and Synthetic Data Augmentation
May 10, 2026Shogo NoguchiSynthetic Data Augmentation High-Fidelity Conditional Generation
PGID: Progressive Guided Inversion and Denoising for Robust Watermark Detection
May 10, 2026Minh Quoc Duong, Chun Tong Lei, Chun Pong LauWatermarks Watermarking
Path-Dependent Denoising: A Non-Conservative Field Perspective on Order Collapse in Diffusion Language Models
May 10, 2026Jeonseong KimDiffusion Language Models Image Denoising
Discrete Langevin-Inspired Posterior Sampling
May 10, 2026Chaitanya Amballa, Sattwik Basu, Jorge Vančo Sampedro +1Posterior Sampling Ill-Posed Inverse Problem
Probability-Flow Distillation: Exact Wasserstein Gradient Flow for High-Fidelity 3D Generation
May 9, 2026Rohith Ramanan, A. N. Rajagopalan3D Generative Models Diffusion Priors
Dependency-Aware Discrete Diffusion for Scene Graph Generation
May 9, 2026Rajalaxmi Rajagopalan, Romit Roy ChoudhuryHierarchical 3D Scene Graphs Large-Scale Image Generation
Constraint-Aware Diffusion Priors for High-Fidelity and Versatile Quadruped Locomotion
May 9, 2026Jianhui Chen, Ruixin Zhan, Liu Liu +2Adversarial Motion Priors Diffusion Policies
ElasticFlow: One-Step Physics-Consistent Policy with Elastic Time Horizons for Language-Guided Manipulation
May 9, 2026Kewei Chen, Yayu Long, Shuai Li +1Intelligence Manipulation
Supersampling Stable Diffusion and Beyond: A Seamless, Training-Free Approach for Scaling Neural Networks Using Common Interpolation Methods
May 9, 2026Md Abu Obaida Zishan, Jannatun Noor, Annajiat Alim RaselLarge-Scale Image Generation Denoising Diffusion Probabilistic Model
FlowADMM: Plug-and-play ADMM with Flow-based Renoise-Denoise Priors
May 9, 2026Hendrik Sommerhoff, Michael MoellerIll-Posed Inverse Problem Image Denoising
Geometry-Aware Discretization Error of Diffusion Models
May 8, 2026Samuel Hurault, Thomas Moreau, Gabriel PeyréDiffusion Sampling Discretization
Steering Without Breaking: Mechanistically Informed Interventions for Discrete Diffusion Language Models
May 8, 2026Hanhan Zhou, Shamik Roy, Rashmi GangadharaiahDiffusion Language Models Steering
Normalizing Trajectory Models
May 8, 2026Jiatao Gu, Tianrong Chen, Ying Shen +3Denoising Trajectory Normalizing Flows
When Diffusion Model Can Ignore Dimension: An Entropy-Based Theory
May 8, 2026Ahmad Aghapour, Erhan BayraktarDiffusion Sampling High-Dimensional Data
How to Train Your Latent Diffusion Language Model Jointly With the Latent Space
May 8, 2026Viacheslav Meshchaninov, Alexander Shabalin, Egor Chimbulatov +4Diffusion Language Models Latent Diffusion Model
What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion
May 8, 2026Zhengrong Yue, Taihang Hu, Mengting Chen +8Latent Diffusion Model Masked Autoencoders
Consistency Regularised Gradient Flows for Inverse Problems
May 8, 2026Alessio Spagnoletti, Tim Y. J. Wang, Marcelo Pereyra +1Ill-Posed Inverse Problem Inverse Problem
Pre-training Enables Extraordinary All-optical Image Denoising
May 8, 2026Xudong Lv, Yuxiang Sun, Shuo Wang +3Image Denoising
TextLDM: Language Modeling with Continuous Latent Diffusion
May 8, 2026Jiaxiu Jiang, Jingjing Ren, Wenbo Li +10Diffusion Language Models Identity-Conditioned Latent Diffusion Models
Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework
May 8, 2026Linxiao Shi, Siming Zheng, Zerong Wang +5Differentiable Rendering Discrete Diffusion Model
Generative Modeling with Flux Matching
May 8, 2026Peter Pao-Huang, Xiaojie Qiu, Stefano ErmonGenerative Models Score-Based Diffusion Model
LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling
May 8, 2026Haewon Jeon, Si-Hyeon LeeDiscrete Diffusion Model Diffusion Sampling
DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models
May 8, 2026Amin Karimi Monsefi, Dominic Culver, Nikhil Bhendawade +4Diffusion Language Models Credit Assignment
Why DDIM Hallucinates More Than DDPM: A Theoretical Analysis of Reverse Dynamics
May 7, 2026Muhammad H. Ashiq, Samanyu Arora, Abhinav N. Harish +3Diffusion Sampling Denoising Diffusion Probabilistic Model
A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models
May 7, 2026Aditya Ranganath, Mukesh SinghalScore-Based Diffusion Model Generative Models
Diffusion-Based Posterior Sampling: A Feynman-Kac Analysis of Bias and Stability
May 7, 2026Matias G. Delgadino, Sebastien Motsch, Advait Parulekar +2Posterior Sampling Diffusion Sampling
Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
May 7, 2026Nilaksh, Saurav Jha, Artem Zholus +1Latent World Models Robot Policies
Continuous-Time Distribution Matching for Few-Step Diffusion Distillation
May 7, 2026Tao Liu, Hao Yan, Mengting Chen +8Discrete Diffusion Model Interaction Trajectories
The Interplay of Data Structure and Imbalance in the Learning Dynamics of Diffusion Models
May 7, 2026Flavio Nicoletti, Chenxiao Ma, Enrico Ventura +2Score-Based Diffusion Model Distributional Learning
Predictive-Generative Drift Decomposition for Speech Enhancement and Separation
May 7, 2026Julius Richter, Yoshiki Masuyama, Christoph Boeddeker +3Speech Enhancement Speech Separation
Expressivity of Bi-Lipschitz Normalizing Flows: A Score-Based Diffusion Perspective
May 7, 2026Meira Iske, Carola-Bibiane SchönliebNormalizing Flows Lipschitz Constant
Learning Discrete Autoregressive Priors with Wasserstein Gradient Flow
May 7, 2026Bowen Zheng, Yihong Luo, Tianyang HuAutoregressive Image Generation Generative Priors
P-Guide: Parameter-Efficient Prior Steering for Single-Pass CFG Inference
May 7, 2026Xin Peng, Ang GaoGenerative Priors Generative Flow Networks
Understanding diffusion models requires rethinking (again) generalization
May 7, 2026Pierre Marion, Yu-Han WuOverfitting Discrete Diffusion Model
Fusion in Your Way: Aligning Image Fusion with Heterogeneous Demands via Direct Preference Optimization
May 7, 2026Weijian Su, Songqian Zhang, Yuqi Han +3Visible Image Fusion Infrared-Visible Image Fusion
Adding Thermal Awareness to Visual Systems in Real-Time via Distilled Diffusion Models
May 7, 2026Yuchen Guo, Junli Gong, Wenjun Dong +2Visible Image Fusion Robust Perception
Enabling Unsupervised Training of Deep EEG Denoisers With Intelligent Partitioning
May 7, 2026Qiyu Rao, Haozhe Tian, Homayoun Hamedmoghadam +1Electroencephalography Spatial Super-Resolution Self-Supervised
InkDiffuser: High-Fidelity One-shot Chinese Calligraphy via Differentiable Morphological Optimization
May 7, 2026Kunchong Shi, Jing ZhangTypography Generation Discrete Diffusion Model
GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model
May 7, 2026Shaozhen Ma, Wei Huang, Hanchen Wang +2Discrete Diffusion Model Generative Models
R2H-Diff: Guided Spectral Diffusion Model for RGB-to-Hyperspectral Reconstruction
May 7, 2026Songyu Ding, Ronggiang Zhao, Mingchun Sun +1Hyperspectral Imaging Spectral Reconstruction
MotionGRPO: Overcoming Low Intra-Group Diversity in GRPO-Based Egocentric Motion Recovery
May 7, 2026Nanjie Yao, Junlong Ren, Wenhao Shen +1Avatar Reconstruction Ego-Motion
Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model Priors
May 6, 2026Badr Moufad, Albina Ilina, Hai Victor Habi +4Precipitation Diffusion Priors
Computer-Aided Design Generation by Cascaded Discrete Diffusion Model
May 6, 2026Honghu Pan, Xiaoling Luo, Yongyong Chen +2Computer-Aided Design Diffusion Processes
Deep Dreams Are Made of This: Visualizing Monosemantic Features in Diffusion Models
May 6, 2026Adam Szokalski, Mateusz ModrzejewskiLatent Visual Reasoning Latent Diffusion Model
Structured 3D Latents Are Surprisingly Powerful: Unleashing Generalizable Style with 2D Diffusion
May 6, 2026Yiran Qiao, Yiren Lu, Yunlai Zhou +53D Generation Photorealistic Style Transfer
Learning-based Statistical Refinement for Denoising
May 5, 2026Rihuan KeImage Denoising Statistical Inference
Normalization Equivariance for Arbitrary Backbones, with Application to Image Denoising
May 5, 2026Youssef Saied, François FleuretExact Equivariance Batch Normalization
Conditional Diffusion Sampling
May 5, 2026Francisco M. Castro-Macías, Pablo Morales-Álvarez, Saifuddin Syed +3Diffusion Sampling
Flow Sampling: Learning to Sample from Unnormalized Densities via Denoising Conditional Processes
May 5, 2026Aaron Havens, Brian Karrer, Neta ShaulDiffusion Sampling Riemannian Manifolds
GeoTopoDiff: Learning Geometry--Topology Graph Priors through Boundary-Constrained Mixed Diffusion for Sparse-Slice 3D Porous Reconstruction
May 5, 2026Yue Shi, Peng Wang, Mingzhe Yu +5Diffusion Priors Porous Media
Tempered Guided Diffusion
May 5, 2026Andreas Makris, Paul Fearnhead, Chris NemethDiffusion Sampling Diffusion Priors
Real Image Denoising with Knowledge Distillation for High-Performance Mobile NPUs
May 5, 2026Faraz Kayani, Sarmad Kayani, Asad Ahmed +2Neural Processing Units Mobilenetv2
Improving TMS EEG Signal Quality for Closed-Loop Neuro Stimulation via Source-Domain Denoising
May 5, 2026Zhen Tang, Ameer Hamoodi, Stevie Foglia +2Electroencephalography Spatial Super-Resolution Brain-Computer Interface
Stochastic Schrödinger Diffusion Models for Pure-State Ensemble Generation
May 5, 2026Jian Xu, Wei Chen, Shigui Li +5Quantum Machine Learning Score-Based Diffusion Model
PODiff: Latent Diffusion in Proper Orthogonal Decomposition Space for Scientific Super-Resolution
May 5, 2026Onkar Jadhav, Tim French, Matthew Rayson +1Super-Resolution Framework Latent Diffusion Model

May 10, 2026 · cs.AIJ/K move · Enter open · S save

Primal-Dual Guided Decoding for Constrained Discrete Diffusion

Federico Tomasi, Dmitrii Moor, Alice Wang, Mounia Lalmas

Spotify

Discrete diffusion models generate structured sequences by progressively unmasking tokens, but enforcing global property constraints during generation remains an open challenge. We propose primal-dual guided decoding, an inference-time method that formulates constrained generation as a KL-regularised optimisation problem and solves it online via adaptive Lagrangian multipliers. At each denoising step, the method modifies token logits through an additive, constraint-dependent bias, with multipliers updated by mirror descent based on constraint violation. The bias arises as the optimal KL-regularised projection of the constraint, so the constrained distribution remains as close as possible to the model's unconstrained distribution while still satisfying the constraint. The method requires no retraining and no additional model evaluations beyond standard sampling, supports multiple simultaneous constraints, and provides formal bounds on constraint violation. We evaluate our approach on topical text generation, molecular design, and music playlist generation, showing that a single algorithm instantiated via domain-specific scoring functions improves constraint satisfaction while preserving relevant domain-specific quality metrics.

Discrete Diffusion Model Diffusion Processes Scoring Implicit Bias

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