Diffusion & flow matching

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Evidence papers — 50 most recent of 2318

• Diffusion-Based Tumor Inpainting for Renal Segmentation under Clinical Data Scarcity
  Ekaterina Sedykh, Salme Ussanov, Dmytro Fedorenko, Dmytro Fishman · Sep 2026 · arXiv
• Schedule optimization for tau-leaping in masked discrete diffusion
  Cecilia Secchi, Giacomo Zanella · Sep 2026 · arXiv
• 4DGS-Fixer: Generative Sparse-View 4D Gaussian Splatting with Iterative Refinement Guided by Video Diffusion Priors
  Haitao Huang, Shenghao Zhao, Boyuan Tian, Shin-Fang Chng, Songlin Yang, Sheila Lim, Huangying Zhan, Yi Xu, Anyi Rao, Frank Guan · Sep 2026 · arXiv
• Classification-oriented adaptive sensing via posterior sampling
  Andriy Enttsel, Maxime Rousselot, Vincent Corlay · Sep 2026 · arXiv
• Hiding in Plain Sight: A Diffusion-based Mitigation of Geolocation Privacy Leakage in Vision-Language Models
  Yining Wang, Xi Li, Mi Zhang, Xiaohan Zhang, Xiaoyu You, Zhenxing Qian, Mi Wen · Sep 2026 · arXiv
• Quantization-Aware Kalman Estimation for Diffusion Sampling
  Qitan Shi, Cheng Jin, Jiawei Zhang, Yuantao Gu · Sep 2026 · arXiv
• Fewer Steps, Better Actions: Rethinking Flow-Matching Inference for VLA Policies
  Zhipeng Tang, Xinda Chen, Weining Rao, Xiao Li, Wenting Tan, Yuning Wang, Xiao Shi, Xiaofang Zhao · Sep 2026 · arXiv
• ME-Dex 1.0: Bringing Heterogeneous Tactile Sensing into World Action Modeling
  Xuancheng Zhang, Xuetao Liu, Qianying Tang, Jizhe Wang, Zhijing Cheng, Bochen Lin, Haoran Wen, Ming Li, Kun Zhan, Yu Liu · Sep 2026 · arXiv
• SafeStyle: Calibrated Style Residual Injection for Controllable Style-Leakage Trade-off in Diffusion Stylization
  Zhangping Yang, Min Li, Song Yan, Rong Gao, Xinliang Bi, Guanye Xiong, Yujie He · Sep 2026 · arXiv
• Time series generation with spectrally aligned latent flow matching
  Camilo Carvajal Reyes, Felipe Tobar · Sep 2026 · arXiv
• SpaceDiffusion: Over-the-Orbit Diffusion for Space Generate-and-Forward Communications
  Jianhao Huang, Zhanwei Wang, Khaled B. Letaief, Kaibin Huang · Sep 2026 · arXiv
• DART: Distillation-Aware Reparameterization for Training-Free LoRA Reuse in Few-Step Video Diffusion Models
  Shihong Li, Juntao Xu, JinCao, Maowen Tang, Jun Huang, Jintao Li · Sep 2026 · arXiv
• GeoAAC: Geometry-Based Adaptive Action Chunking from Denoising Trajectories in VLA Policies
  Xin Chen, Sen Chen, Yujuan Ding, Jian Liu, Guoqing Wang, Wei Ye, Heng Tao Shen, Yi Bin · Sep 2026 · arXiv
• Physically Based Rendering in the Latent Space
  Vuk Radovanovic, Vishesh Gupta, Adrien Gruson, Binh-Son Hua · Sep 2026 · arXiv
• PlantShade: Predicting Plant Shadows for Lighting-Aware Robotic Agricultural Operation
  Longchao Da, Xiaoou Liu, Xingjian Li, Lirong Xiang, Hua Wei · Sep 2026 · arXiv
• PhGS: Post-Hoc Pruning and Refinement of Single-View Feed-Forward 3D Gaussian Reconstructions
  Rinto Yagawa, Han Cheng, Dieter Schmalstieg, Hideo Saito, Shohei Mori · Sep 2026 · arXiv
• Zarya: A Hybrid Autoregressive--Masked Diffusion Language Model with Flexible Training and Dual-Mode Inference
  Leonid Sinev, Ilya Koziev, Vladislav Leshchuk · Sep 2026 · arXiv
• Uni-LaDiR: Latent Diffusion Unifies Multimodal Reasoning
  Haoqiang Kang, Yizhe Zhang, Nikki Lijing Kuang, Yian Ma, Lianhui Qin · Sep 2026 · arXiv
• MarsFM: Shading-Regularized Flow Matching for Martian Relief Estimation
  Marius F. R. Juston · Sep 2026 · arXiv
• Generating Heterogeneous 3D Geological Microstructures from 2D Images via a Stable Diffusion-Adversarial Model
  Ali Aouf, Eric Laloy, Bart Rogiers, Christophe De Vleeschouwer · Sep 2026 · arXiv
• FlowSGS: Improving Flow Matching Priors for Inverse Imaging with Stochastic Interpolants
  Tianao Li, Xinhui Qian, Emma Alexander · Sep 2026 · arXiv
• Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation
  Haocheng Xi, Yiming Xie, Hexu Zhao, Yiwen Zhang, Michael Liu, Thomas Creavin, Kurt Keutzer, Xiuyu Li, Zhaoyang Lv, Chenfeng Xu, Haiwen Feng · Sep 2026 · arXiv
• Epidemiological Causal Graph Identification: Challenges, Identifiability and Algorithms
  Sambit Mishra, Yingying Wang, Christine K. Johnson, Urbashi Mitra · Sep 2026 · arXiv
• Dynamic Generalized Gromov-Wasserstein Optimal Transport
  Junda Ying, Zhiwei Zeng, Peijie Zhou, Lei Zhang · Sep 2026 · arXiv
• PACE: Precise AI Cinematic Expression
  Bing Duan, Qiang Guo, Linpu Li, Zhijian Mao, Min Zhu, Zhirui Ren, Yiwei Yan, Xi Chu, Xiaoding Li · Sep 2026 · arXiv
• Multimodal Conditioning of Fine-Tuned Stable Diffusion XL for Controllable and Culturally Faithful Ulos Motif Generation
  Humasak Simanjuntak, Tamara Yunika Sianipar, Bronson T. M Siallagan, Difya Laurensya Ambarita, Arlinta Barus · Sep 2026 · arXiv
• Comprehensive reconstruction of collider events with hypergraph representation learning and graph-conditioned diffusion
  Lining Mao, Yvonne Peters, Ethan Simpson, Zihan Zhang · Sep 2026 · arXiv
• Newer Is Not Fairer: Gender Stereotyping in Text-to-Image AI Across Model Generations
  Shesh Narayan Gupta, Nik Bear Brown · Sep 2026 · arXiv
• Learning A Unified Template for Gait Recognition
  Panjian Huang, Saihui Hou, Junzhou Huang, Yongzhen Huang · Sep 2026 · arXiv
• A Comprehensive Review of Generative Physical Artificial Intelligence
  Satyam Gaba, Krutiksinh Rana, Siva Sai, Vinay Chamola, Dusit Niyato · Sep 2026 · arXiv
• Beyond Random Couplings: Contrastive Noise Alignment in Generative Flows
  Lennart Wittke, Vinicius Azevedo · Sep 2026 · arXiv
• How to Guide Your Language Flow
  Rohit Dilip, Tianrong Chen, Yuyang Wang, David Van Valen, Joshua Susskind, Miguel Angel Bautista · Sep 2026 · arXiv
• CPR: Combining global composing, local performing and full-sequence refining in piano rendering with continuous autoregressive modelling
  Chong Jing, Junan Zhang, Zhizheng Wu · Sep 2026 · arXiv
• Efficient Text-to-Image Generation: An Adaptive Step Schedule Controller for Diffusion Models
  Kuluhan Binici, Cihan Acar, Shivam Aggarwal, Siying Liu, Tulika Mitra · Sep 2026 · arXiv
• MedPCFM-TED: One-Step Point Cloud Flow Matching for Implant Generation via Teacher-Guided Endpoint Distillation
  Kamil Kwarciak, Marek Wodzinski · Sep 2026 · arXiv
• QALPA: Property-guided diffusion modeling for efficient exploration of chemical spaces of flexible molecules
  Michael Hanna, Julian Cremer, Zekiye Erarslan, Leonardo Medrano Sandonas · Sep 2026 · arXiv
• DSD: Learning Diverse and Reusable Motor Skills via Diffusion Skill Discovery
  Sun Woo Kim, Xue Bin Peng · Sep 2026 · arXiv
• AsyncCouple-Flow: Asynchronous Cross-Modal Coupling and Flow Matching for Spatio-Temporal Forecasting
  Zhixiang Wu, Yining Liu, Bo Zhao, Szu-Yu Chen, Huiran Duan, Chu Lin, Chuanguang Yang · Sep 2026 · arXiv
• Walking the Score Manifold: Continuous-time Generative Dynamics on Learned Data Manifolds
  Jan Tauberschmidt, Brian B. Moser, Stanislav Frolov, Andreas Dengel, Andrew B. Duncan, Sebastian J. Vollmer · Sep 2026 · arXiv
• FlowATC: Aircraft Trajectory Prediction via Flow Matching
  Mathurin Petit, Emir Torun, Louis Brusset, Jordan Kam, Alexandre M. Bayen · Sep 2026 · arXiv
• MUMINS: Metadata-conditioned Uncertainty-aware Medical Image Next-state Synthesis
  Anna Oliveras, Roger Marí, Rafael Redondo, Oriol Guardià, Cynthia Ifeyinwa Ugwu, Ana Tost, Bhalaji Nagarajan, Carolina Migliorelli, Vicent Ribas, Petia Radeva · Sep 2026 · arXiv
• GazeDiT: Gaze-Accurate Diffusion Image Generation for Eye Tracking via Spatial Conditioning
  Dongze Wu, David Colmenares, Fengting Yang, Jogendra Nath Kundu, Yao Xie, Ali Behrooz, Conny Lu · Sep 2026 · arXiv
• METALICA: METAdynamics and repLICA exchange for enhanced diffusion sampling
  Alireza Omidi, Jiajun He, Jörg Gsponer, Saifuddin Syed · Sep 2026 · arXiv
• Accelerating Diffusion Sampling via Speculative Draft Trees
  Marcello Bullo, Yanxiao Liu, Öykü Sıla Güner, Arpan Mukherjee, Deniz Gündüz · Sep 2026 · arXiv
• Efficient 3D Whole-Body PET Image Denoising via Conditional Rectified Flow With Optimized Sampling Strategy
  Jiale Shen, Guolin Wang, Chenhao Wang, Xinhui Su, Wei Luo, Feng Yu · Sep 2026 · arXiv
• FROD: Feature Matching Residual Denoising Oracle Bone Decipher
  Yanbin Hou, Biao Xiong, Guojun Xu, Jianwen Xiang, Cheng Tan, Yanchao Yang, Junwei Zhou · Sep 2026 · arXiv
• Same Flow, Different Paths: Variance Reduction in Flow Matching
  Alexander Tyurin · Sep 2026 · arXiv
• SlotDiT: Object-Centric Representations for Diffusion Transformers
  Gjergj Plepi, Sven Behnke · Sep 2026 · arXiv
• MyoFlow: Anchor-Tied Rectified Flow for HD-sEMG Gesture Recognition Across Sessions and Subjects
  Chenhao Wu, Dingjie Peng, Satoshi Funabashi, Satoshi Konishi, Wuqiang Yang, Hiroshi Onoda, Hironori Washizaki, Jiang Liu · Sep 2026 · arXiv
• Impute-EM: Native Mixed-State Diffusion Models for Heterogeneous Data Imputation
  Sergei Kholkin, Kirill Sokolov, Dmitry Baranchuk, Evgeny Burnaev, Alexander Korotin · Sep 2026 · arXiv