Discrete Diffusion Model

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Period ending 2026-09-21

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258 papers

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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
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
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
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
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
CityGen: Structure-Guided City-Style Synthesis for Cross-City Autonomous Driving
May 28, 2026Zezhong Qian, Zhao Yang, Lu Tan +4Autonomous Driving Cross-Domain Generalization
Midpoint Generative Models
May 28, 2026Daniil Shlenskii, Nikita Gushchin, Lev Novitskiy +2Generative Models Discrete Diffusion Model
Orthogonal Concept Erasure for Diffusion Models
May 27, 2026Yuhao Sun, Lingyun Yu, Haoxiang Xu +3Concept Erasure Discrete Diffusion Model
From Scores to Gibbs Correctors: Accelerating Uniform-Rate Discrete Diffusion Models
May 26, 2026Yuchen Liang, Ness Shroff, Yingbin LiangDiffusion Sampling Diffusion Processes
High-Quality Synthetic Financial Time-Series using a GAN-Diffusion Framework
May 26, 2026Giuseppe Masi, Andrea Coletta, Novella BartoliniSynthetic Time Series Synthetic Data
Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences
May 26, 2026Hanlin Yu, RuiKang OuYang, Partha Kaushik +3Discrete Diffusion Model Contrastive Learning
RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models
May 26, 2026Xing Cong, Hanlin Tang, Kan Liu +3Multimodal Diffusion Transformers Sparse Expert Activation
On the Error-Correcting Effects of Stochasticity in Discrete Diffusion
May 26, 2026William Yuan, Sungwon Jeong, Amirali AghazadehDiscrete Diffusion Model Stochastic
OMGTex: One-stage Multi-style Facial Texture Reconstruction without Geometry Guidance
May 25, 2026Zitong Xiao, Yuda Qiu, Zisheng Ye +1Blind Face Restoration Multi-View Diffusion Model
Dynamic Neural Koopman Distillation for Real-Time Robot Control Using Diffusion Models
May 24, 2026Lei Zheng, Peiqi Yu, Zengqi Peng +2Diffusion Policies Robot Planning
TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models
May 22, 2026Arseny Ivanov, Sergei Kholkin, Vladislav Gromadskii +3Diffusion Language Models Likelihood
Efficient One-Step Diffusion Restoration Model with Compact Token Compression and Linear Attention
May 22, 2026Bingtian Qiao, Yue Shi, Yingjie Zhou +3Generative Super-Resolution Image Restoration
Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion
May 22, 2026Jaihoon Kim, Taehoon Yoon, Prin Phunyaphibarn +3Discrete Diffusion Model Monte Carlo
Dithering Defense: Adversarial Robustness of Vision Foundation Models via Multi-Level Floyd-Steinberg Dithering
May 21, 2026Yury Belousov, Brian Pulfer, Vitaliy Kinakh +1Vision Foundation Models Discrete Diffusion Model
Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State Reformulation
May 21, 2026Samson Gourevitch, Yazid Janati, Dario Shariatian +4Masked Diffusion Language Models Discrete Diffusion Model
Broken Memories: Detecting and Mitigating Memorization in Diffusion Models with Degraded Generations
May 21, 2026Yuanmin Huang, Mi Zhang, Chen Chen +4Discrete Diffusion Model Memorization
One-Step Distillation of Discrete Diffusion Image Generators via Fixed-Point Iteration
May 20, 2026Chaoyang Wang, Yunhai TongDiscrete Diffusion Model Fixed-Point Iteration
OcclusionFormer: Arranging Z-Order for Layout-Grounded Image Generation
May 20, 2026Ziye Li, Henghui DingDiverse Occlusion-And-Revelation Scenarios Occlusion
Graph Navier Stokes Networks
May 20, 2026Zexing Zhao, Guangsi Shi, Yu Gong +4Graph Neural Networks Shallow Water Equations
Conditioning Gaussian Processes on Almost Anything
May 20, 2026Henry Moss, Lachlan Astfalck, Thomas Cowperthwaite +5Gaussian Process 3D Gaussian Splatting
Rethinking Cross-Layer Information Routing in Diffusion Transformers
May 20, 2026Chao Xu, Maohua Li, Qirui Li +9Multimodal Diffusion Transformers Transformer Residual Streams
Tippett-minimum Fusion of Representation-space Diffusion Models for Multi-Encoder Out-of-Distribution Detection
May 19, 2026Neelkamal BhuyanOut-Of-Distribution Detection Out-Of-Distribution
LIFT and PLACE: A Simple, Stable, and Effective Knowledge Distillation Framework for Lightweight Diffusion Models
May 19, 2026Hyunsoo Han, Sangyeop Yeo, Jaejun YooKnowledge Distillation Discrete Diffusion Model
Physics Guided Conditional Diffusion Framework for Generative Inverse Design of Manufacturable Metasurface based Absorbers
May 19, 2026Vineetha Joy, Jamshed Palai, Satwik Sahu +3Metamaterials Generative Inverse Design
Tweedie's Formulae and Diffusion Generative Models Beyond Gaussian
May 19, 2026Wenpin Tang, Nizar Touzi, Zikun Zhang +1Stochastic Differential Equations Diffusion Dynamics
Multi-Scale Generative Modeling with Heat Dissipation Flow Matching
May 19, 2026Jun Ma, Hanquan Zhang, Yanjun Qin +2Discrete Diffusion Model Generative Models
Reducing Diffusion Model Memorization with Higher Order Langevin Dynamics
May 18, 2026Benjamin Sterling, Mónica F. Bugallo, Tom TirerLangevin Dynamics Memorization
SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate
May 18, 2026Lifu Wei, Yinuo Ren, Naichen Shi +1Data Assimilation Particle Filters
Training data attribution in diffusion models via mirrored unlearning and noise-consistent skew
May 18, 2026Joan Serrà, Dipam Goswami, Fabio Morreale +2Discrete Diffusion Model Training Data Attribution
PFlow-T: A Persistence-Driven Forward Process for Topology-Controlled Generation
May 17, 2026Snigdha Chandan KhilarDiscrete Diffusion Model Persistent Homology
Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling
May 17, 2026Tianyue Yang, Sandro Tacchella, Xiao XueGenerative Models Discrete Diffusion Model
Drift Flow Matching
May 17, 2026Chenrui Ma, Xi Xiao, Lin Zhao +3Generative Models Discrete Diffusion Model
Vocabulary-size-independent Convergence of Discrete Diffusion Models: adjoint equations induce the right space
May 17, 2026Kelvin Kan, Xingjian Li, Benjamin J. Zhang +3Discrete Diffusion Model Generative Models
Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine
May 16, 2026Wei Huang, Andi Han, Mingyuan Bai +4Score-Based Diffusion Model Discrete Diffusion Model
HighSync: High-Quality Lip Synchronization via Latent Diffusion Models
May 16, 2026Saeed Firouzi Daghigh, Majid Iranpour Mobarekeh, Mostafa Alavi +1Object Articulation Pre-Trained Video Diffusion Models
DecoRec: Decomposed 3D Scene Reconstruction from Single-View Images via Object-Level Diffusion
May 16, 2026Yuhan Ping, Yuan Liu, Xiaoxiao Long +63D Reconstruction Multi-View Diffusion Model
Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
May 15, 2026Mengye RenCreativity Generative Models
DealMaTe: Multi-Dimensional Material Transfer via Diffusion Transformer
May 15, 2026Nisha Huang, Yizhou Lin, Jie Guo +3Discrete Diffusion Model Causal Attention
MaTe: Images Are All You Need for Material Transfer via Diffusion Transformer
May 15, 2026Nisha Huang, Henglin Liu, Yizhou Lin +5Discrete Diffusion Model Generative Quality
Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design
May 14, 2026Ziyu Xu, Zijian Zhang, Liang Wang +4Drug Design Spatial Transcriptomics
AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral Priors
May 14, 2026Zuopeng Zhao, Ying Liu, Xiaoyu Li +3Remote Sensing Discrete Diffusion Model
IG-Diff: Complex Night Scene Restoration with Illumination-Guided Diffusion Model
May 14, 2026Yifan Chen, Fei Yin, Chunle Guo +2Low-Light Images Image Restoration
Sampling from Flow Language Models via Marginal-Conditioned Bridges
May 13, 2026Iskander Azangulov, Leo ZhangGenerative Flow Networks Diffusion Language Models
Qwen-Image-VAE-2.0 Technical Report
May 13, 2026Zekai Zhang, Deqing Li, Kuan Cao +27Variational Autoencoder Discrete Diffusion Model
The Diffusion Encoder
May 13, 2026Akhil Premkumar, Sarah LucioniDiscrete Diffusion Model Variational Autoencoder
Img2CADSeq: Image-to-CAD Generation via Sequence-Based Diffusion
May 13, 2026Shiyu Tan, Zixuan Zhao, Hao Gao +3Text-To-Cad Computer-Aided Design
Do Heavy Tails Help Diffusion? On the Subtle Trade-off Between Initialization and Training
May 13, 2026Hamza Cherkaoui, Hélène Halconruy, Antonio OcelloLong-Tailed Distribution Discrete Diffusion Model
The Efficiency Gap in Byte Modeling
May 13, 2026Celine Lee, Jing Nathan Yan, Chen Liang +9Neural Scaling Laws Discrete Diffusion Model
Discrete Stochastic Localization for Non-autoregressive Generation
May 13, 2026Yunshu Wu, Jiayi Cheng, Longxuan Yu +4Discrete Diffusion Model Autoregressive Generation
Composition of Memory Experts for Diffusion World Models
May 12, 2026Sebastian Stapf, Pablo Acuaviva Huertos, Aram Davtyan +1Discrete Diffusion Model Memory Retrieval
One-Step Generative Modeling via Wasserstein Gradient Flows
May 12, 2026Jiaqi Han, Puheng Li, Qiushan Guo +3Discrete Diffusion Model Generative Models
STRIDE: Training-Free Diversity Guidance via PCA-Directed Feature Perturbation in Single-Step Diffusion Models
May 12, 2026Ankit Yadav, Arpit Garg, Ta Duc Huy +1Discrete Diffusion Model Few-Step Generation
ZeroIDIR: Zero-Reference Illumination Degradation Image Restoration with Perturbed Consistency Diffusion Models
May 12, 2026Hai Jiang, Zhen Liu, Yinjie Lei +3Image Restoration Illumination

Jun 1, 2026 · stat.MLJ/K move · Enter open · S save

Self-Regulating Annealing in Heavy-Tailed Diffusion Models

Keito Wakatsuki, Hideaki Shimazaki

Graduate School of Informatics Kyoto University, Kyoto, Japan

Diffusion models have emerged as a leading framework for deep generative modeling. While the standard Gaussian formulation is theoretically convenient, its suitability for heavy-tailed datasets remains unclear. To address this, heavy-tailed diffusion models (HTDMs) extend the standard formulation by replacing the Gaussian distribution with a Student's t-distribution, thereby improving tail fidelity on heavy-tailed datasets. Although stochastic differential equation (SDE)-based sampling is possible in HTDMs, it has not been fully explored. In this paper, we propose an SDE-based sampler for HTDMs that explicitly incorporates a state-dependent diffusion coefficient. This state dependence naturally induces a self-regulating annealing mechanism by adaptively modulating the effective noise scale. We theoretically explore this mechanism and experimentally verify its necessity for reproducing samples from a heavy-tailed distribution.

Diffusion Sampling Discrete Diffusion Model Diffusion Dynamics Cosine Annealing Generative Models

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