Text-Conditioned Diffusion Model

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8 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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Does Text Steer Neural PDE Surrogates? A Controlled Diagnostic with OperatorCLIP
Sep 29, 2026Aadi Dash, Lennon J. Shikhman, Michael GalarnykNeural Operators Text-Conditioned Diffusion Model
College of Computing, Georgia Institute of Technology · Department of Mathematics and Systems Engineering, Florida Institute of Technology · Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology
Domain-Adapted Diffusion Models for Conditional Independence Testing
Sep 27, 2026Yanfeng Yang, Junda Zhao, Yijie Gao +8Text-Conditioned Diffusion Model Conditional Independence
The Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan · The Institute of Statistical Mathematics, Tokyo, Japan · East China Normal University, Shanghai, China +4
CARE: Condition-Aware Representation Regularization for Diffusion Models
Sep 23, 2026Fengjia Guo, Zhuoyi Yang, Jie TangText-Conditioned Diffusion Model Diffusion Models
Department of Computer Science and Technology, Tsinghua University, Beijing, China.
Conditional Tensor Diffusion: Distributional Counterfactual Learning and Inference
Sep 22, 2026Xinbing Kong, Zeyu Li, Junfan Mao +1Causal Inferences Conditional Distribution
Southeast University · University of Science and Technology of China
Rethinking Diffusion Segmentation: When Does It Rely on Its Noisy State, and Does Diffusion Matter?
Sep 21, 2026Hengzhuo Yang, Yuming Zeng, Yuling YangText-Conditioned Diffusion Model Diffusion Models
Department of Mathematics, Northeastern University, Boston, MA 02115 USA · Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115 USA
FlockDiffusion: Assignment-Conditioned Diffusion for Multi-Drone Task Allocation and Completion
Sep 20, 2026Iana Zhura, Satenik Akopyan, Roohan Ahmed Khan +3Multi-Drone Coordination Diffusion Planning
Skolkovo Institute of Science and Technology, Moscow, Russia
Comprehensive reconstruction of collider events with hypergraph representation learning and graph-conditioned diffusion
Sep 16, 2026Lining Mao, Yvonne Peters, Ethan Simpson +1Hypergraphs Geometric Machine Learning
School of Physics and Astronomy, Shanghai Jiao Tong University, No.800 Dong Chuan Road, Shanghai 200240, PRC · Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK
Multimodal Taxonomic Conditioning for Generative Plankton Imagery
Sep 10, 2026Daniela Ivanova, Ozgu Goksu, Nicolas PugeaultPlankton Classifier Taxonomy
University of Glasgow, Glasgow, Scotland, UK · National Defence University, Istanbul, Türkiye
Conditioning Degenerate Diffusion Models
Sep 3, 2026Uğur Aydın, Tamer BaşarText-Conditioned Diffusion Model Diffusion Models
Department of Electrical and Computer Engineering and Coordinated Science Laboratory University of Illinois Urbana Champaign Illinois, IL 61801, USA
Reducing Pretraining-Generation Mismatch in Diffusion Language Models
Aug 10, 2026Xiaocheng Lu, Huabin Liu, Song Guo +1Diffusion Language Models Large Language Model Pretraining
Inclusion AI · The Hong Kong University of Science and Technology
SafeGen: Goal-Conditioned Video Diffusion of Safety-Critical Scenarios for VLM-Based Autonomous Driving
Jul 22, 2026Jiangfan Liu, Zexuan Cui, Tianyuan Zhang +7Scenario Generation Autonomous Driving
Beihang University, China · Zhongguancun Laboratory, China · Chery Automobile Co., Ltd., China
Semi-Supervised Conditional Diffusion via Label Augmentation
Jul 18, 2026Jin Su, Yuan Gao, Yong Zhou +1Text-Conditioned Diffusion Model Diffusion Models
aDepartment of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China · bSchool of Statistics and Data Science, Nankai University, Tianjin, China · cSchool of Statistics, East China Normal University, Shanghai, China +1
Text2Sign: A Single-GPU Diffusion Baseline for Text-to-Sign Language Video Generation
Jul 14, 2026Ruize XiaSign Language Translation Online Signature Verification
Independent Researcher
Generating Developable 3D Molecules via Pocket-Conditioned Diffusion and Property-Aware Optimization
Jul 14, 2026Ruoxi Gao, Jiangweizhi Peng, Ziqi Chen +10Drug Design Molecular Design
Computer Science and Engineering, The Ohio State University, Columbus, OH 43210. · Industrial and System Engineering, University of Minnesota, Minneapolis, MN 55455. · Google Cloud, Google LLC, Mountain View, CA 94043. +6
Generating Personalized Lower-Limb Kinematics Across Walking Speeds Using Subject-Conditioned Diffusion
Jul 8, 2026Diya Dinesh, Adrian Krieger, Changseob Song +3Gait Dynamics Exoskeleton
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 15213 USA · Department of Mechanical Engineering, Carnegie Mellon University, USA · Woodruff School of Mechanical Engineering and the Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA 30332 USA
Multi-Conditioned Diffusion Synthesis of Sand Boils for Low-Resource Earthen-Levee Inspection
Jul 8, 2026Padam Jung Thapa, Abdullah Bin Naeem, Ayon Dey +2Synthetic Image Detection Text-Conditioned Diffusion Model
University of Louisiana at Lafayette, Lafayette, LA, USA · Department of Computer Science, Louisiana State University New Orleans, New Orleans, LA, USA
Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models
Jul 5, 2026Shijin Gong, Baihua He, Xinyu ZhangGenerative Models Mixture-Of-Experts
School of Management, University of Science and Technology of China · Academy of Mathematics and Systems Science, Chinese Academy of Sciences
DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models
Jul 4, 2026Chunnan Shang, Xin Zhang, Zhizhong Wang +1Text-Conditioned Diffusion Model Multi-Reference Image Generation
Zhejiang University, Hangzhou, China
Self-conditioned Flow Map Language Models via Fixed-point Flows
Jul 1, 2026Jaehoon Yoo, Wonjung Kim, Floor Eijkelboom +4Latent Flow Text-Conditioned Diffusion Model
KAIST · University of Amsterdam · Carnegie Mellon University
ARIA: Adaptive Region-Based Importance Allocation for Conditional Diffusion Distillation
Jun 22, 2026Loay Mualem, Vinh Tong, Samir Darouich +1Text-Conditioned Diffusion Model Knowledge Distillation
Institute for AI, University of Stuttgart · IMPRS-IS · Institute of Theoretical Chemistry, University of Stuttgart.
UNITY: Attention Flow Networks for Adaptive Conditioning in Diffusion
Jun 18, 2026Aryan Das, Koushik Biswas, Moloud Abdar +1Text-Conditioned Diffusion Model Image Generation
VIT Bhopal, India · IIIT Delhi, India · The University of Queensland, Australia +1
FlowBender: Feedback-Aware Training for Self-Correcting Conditional Flows
Jun 18, 2026Daniel Gilo, Sven Elflein, Ido Sobol +1Text-Conditioned Diffusion Model Diffusion Models
1Technion · 2NVIDIA · University of Toronto +1
Approximate Structured Diffusion for Sequence Labelling
Jun 17, 2026Nicolas Floquet, Joseph Le Roux, Nadi TomehText-Conditioned Diffusion Model Hidden Markov Models
Université Sorbonne Paris Nord, CNRS, Laboratoire d’Informatique de Paris Nord, LIPN, F-93430 Villetaneuse, France
RAID: Semantic Graph Diffusion for True Cold-Start and Cross-Lingual Forecasting
Jun 15, 2026Arunkumar V, Manoranjan Gandhudi, Gangadharan G. R. +2Wireless Foundation Models Latent Prediction
University College of Engineering, Anna University Tiruchirappalli, Tamil Nadu, India · Central University of Karnataka, India · National Institute of Technology Tiruchirappalli, India +1
Graphical conditional generative modeling for digital twin modeling
Jun 15, 2026Zongren Zou, Théo Bourdais, Ricardo Baptista +1Cognitive Digital Twins Surrogate Models
Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA · Department of Statistical Sciences, University of Toronto, Toronto, Canada
Generative modelling powered by room-temperature polariton condensates
Jun 13, 2026Yuan Wang, Marcin Muszynski, Avinash Dash +3Generative Adversarial Network Generative Models
School of Mathematical and Physical Sciences, University of Sheffield, Sheffield S10 2TN, United Kingdom · Department of Physics, City College of New York, New York, NY 10031, USA · 3Physics Doctoral Program, Graduate Center of the City University of New York, New York, NY 10016, USA +1
Task-Aware Environment Augmentation for Reliable Navigation via Shielded Conditional Diffusion
Jun 13, 2026Bharawee Phoompho, Gokul Puthumanaillam, Yan Miao +4Trajectory Generation Safe Navigation
University of Illinois Urbana-Champaign
Conditioning Matters: Stabilizing Inversion and Attention in Diffusion Image Editing
Jun 12, 2026Zheyuan Zhan, Hongchen Li, Can Wang +6Diffusion-Based Image Editing Image Editing
State Key Laboratory of Blockchain and Data Security, Zhejiang University · HangZhou High-Tech Zong (Binjiang) Institute of Blockchain and Data Security · College of Computer Science, Zhejiang University +1
Speech Meets ELF: Audio Conditional Continuous-Target Diffusion for Speech Recognition and Translation
Jun 9, 2026Xuanchen Li, Tianrui Wang, Yuheng Lu +11Speech Translation Speech Encoder
1Tianjin University · 2Shanghai Jiao Tong University · 3Zhipu AI
Assessing Sample Quality in Conditional Generation under Compositional Shift
Jun 8, 2026Berker Demirel, Valentino Maiorca, Marco Fumero +2High-Fidelity Conditional Generation Text-Conditioned Diffusion Model
Institute of Science and Technology Austria (ISTA) · Pyramidal Inc, San Francisco, CA, USA · Achira Inc, San Francisco, CA, USA
Improving Bayesian Optimization via Training-Aware Conditional Diffusion Models
Jun 7, 2026Yilin Zheng, Haowei Wang, Szu Hui Ng +1Bayesian Optimization Text-Conditioned Diffusion Model
National University of Singapore · Singapore · Georgia Institute of Technology +1
COLLAR: Cascaded Object-Level Latent Refinement for High-Fidelity Conditional Generation
May 31, 2026Xinlong Zhang, Jia Wei, Xiaoyu Zhang +3Text-Conditioned Diffusion Model Diffusion Transformers
College of Computer Science Zhejiang University Hangzhou, Zhejiang, China
DASH: Dual-Branch Score Distillation for Guidance-Calibrated Compact Diffusion Models
May 30, 2026Abdullah Al Shafi, Kazi Saeed Alam, Sk Imran Hossain +1Dataset Distillation Text-Conditioned Diffusion Model
Khulna University of Engineering & Technology, Bangladesh · University Clermont Auvergne, France
Treatment-Conditioned Diffusion for Forecasting Neurodegenerative Disease Progression
May 28, 2026Danylo Boiko, Viktoriia MishkurovaMultimodal Neuroimaging Text-Conditioned Diffusion Model
Innoloft Inc. 701 Brazos Street, Austin, TX 78701, USA · Bogomolets National Medical University Beresteiskyi Avenue, 34, Kyiv, 03057, Ukraine
Three-dimensional Conditional Diffusion Models for Cosmological 21 cm Lightcone Emulation
May 27, 2026Bin Xia, John H. WiseText-Conditioned Diffusion Model Cosmology
Center for Relativistic Astrophysics, School of Physics, Georgia Institute of Technology, Atlanta, GA 30332, USA
Inpainting-Style Conditional Diffusion for Multivariable Time Series Forecasting
May 27, 2026Kourosh Kiani, S. M. MuyeenEnergy Forecasting Multivariate Time Series Forecasting
1Electrical and Computer Engineering, Semnan University, Semnan, Iran · Electrical Engineering Department, Qatar University, Doha, Qatar
Towards Controllable Image Generation through Representation-Conditioned Diffusion Models
May 26, 2026Nithesh Chandher Karthikeyan, Jonas Unger, Gabriel EilertsenText-Conditioned Diffusion Model Multi-Reference Image Generation
Linköping University, Norrköping, Sweden
Representation-Conditioned Diffusion Models for Guided Training Data Generation
May 26, 2026Nithesh Chandher Karthikeyan, Jonas Unger, Gabriel EilertsenText-Conditioned Diffusion Model Data Augmentation
Linkoping University
Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference
May 24, 2026Agata Żywot, Iason Skylitsis, Thijmen Nijdam +4Text-To-Image Diffusion Models Text-Conditioned Diffusion Model
University of Amsterdam, Netherlands
Three-Step Conditional Diffusion 3D Reconstruction for Light-Field Microscopy
May 24, 2026Qihong Zhao, Shaokang Yan, Zhimin Qiao +2Volumetric Video Text-Conditioned Diffusion Model
1Yanshan University · 2Peking University
Dual Prototype-Conditioned Diffusion Model for Scalable Multi-Class Unsupervised Anomaly Detection in Large Category Spaces
May 23, 2026Yaoxuan Feng, Yuxin Li, Weijiang Lv +5Multimodal Anomaly Detection Graph Anomaly Detection
National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, 710071, China.
Grounding Driving VLA via Inverse Kinematics
May 20, 2026Junsung Park, Hyunjung ShimDynamic Driving Scenes Trajectory Generation
Korea Advanced Institute of Science and Technology KimJaeChul AI Graduate School 18, Taebong-ro, Seocho-gu, Seoul, South Korea
Inverse Design for Conditional Distribution Matching
May 10, 2026Ori Meidler, Shaul Tolkovsky, Or ZukText-Conditioned Diffusion Model Generative Models
Department of Statistics and Data Science Hebrew University of Jerusalem
AtteConDA: Attention-Based Conflict Suppression in Multi-Condition Diffusion Models and Synthetic Data Augmentation
May 10, 2026Shogo NoguchiText-Conditioned Diffusion Model Data Augmentation
Gunma University
Active Learning for Conditional Generative Compressed Sensing
May 6, 2026Alexander DeLise, Nick DexterText-Conditioned Diffusion Model Generative Models
Department of Scientific Computing Department of Mathematics Florida State University · Department of Scientific Computing Florida State University
Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds
Apr 28, 2026Liuzhuozheng Li, Zhiyuan Zhan, Shuhong Liu +5Text-Conditioned Diffusion Model Diffusion Models
SGIT AI Lab · UTokyo · RIKEN AIP +4
Generative Drifting for Conditional Medical Image Generation
Apr 21, 2026Zirong Li, Siyuan Mei, Weiwen Wu +3Medical Image Generation Text-Conditioned Diffusion Model
Department of Orthodontics and Orofacial Orthopedics, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany · Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany · Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany +1
Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation
Apr 20, 2026Chenxi Zhao, Chen Zhu, Xiaokun Feng +6Few-Step Generation Text-Conditioned Diffusion Model
College of Computer Science, Nankai University · AMAP, Alibaba Group
ML-based approach to classification and generation of structured light propagation in turbulent media
Apr 4, 2026Aokun Wang, Anjali Nair, Zhongjian Wang +1Speckle Text-Conditioned Diffusion Model
Division of Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, 637371 Singapore · Committee on Computational and Applied Mathematics, University of Chicago, Chicago, IL 60637 USA · Departments of Statistics and Mathematics, University of Chicago, Chicago, IL 60637 USA
Native Extrapolation Awareness in Flow-Based Conditional Generation
Feb 13, 2026Constantinos Tsakonas, Serena Ivaldi, Jean-Baptiste MouretFlow Models Extrapolation
Inria, Université de Lorraine, CNRS, Loria Nancy, France
CoDi -- an exemplar-conditioned diffusion model for low-shot counting
Dec 23, 2025Grega Šuštar, Jer Pelhan, Alan Lukežič +1Counting Text-Conditioned Diffusion Model
Faculty of Computer and Information Science, University of Ljubljana, Slovenia
Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA
Sep 26, 2025Chen Li, Meilong Xu, Xiaoling Hu +2Text-Conditioned Diffusion Model Semi-Supervised Medical Image Segmentation
Stony Brook University, Stony Brook, NY, USA · Massachusetts General Hospital and Harvard Medical School, MA, USA
Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinal Learning and Auxiliary Regularization
Aug 3, 2025Xin Ding, Yun Chen, Yongwei Wang +4Conditional Gans Generative Adversarial Network
School of Artificial Intelligence/School of Future Technology, Nanjing University of Information Science & Technology, Nanjing, China · Perceptual and Generative AI Lab, Nanjing University of Information Science & Technology, Nanjing, China · College of Media, Zhejiang University, Hangzhou, China
Contrastive Conditional-Unconditional Alignment for Long-tailed Diffusion Model
Jul 11, 2025Fang Chen, Alex Villa, Gongbo Liang +3Text-Conditioned Diffusion Model Contrastive Alignment
University of California Merced · Texas A&M University-San Antonio · Oregon State University +1
ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative Concepts
Nov 26, 2024Jinho Chang, Changsun Lee, Hyungjin Chung +1Classifier-Free Guidance Text-Conditioned Diffusion Model
Graduate School of Artificial Intelligence, Korea Advanced Institute of Science and Technology, Seoul, South Korea · EverEx, Seoul, South Korea

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Does Text Steer Neural PDE Surrogates? A Controlled Diagnostic with OperatorCLIP

Aadi Dash, Lennon J. Shikhman, Michael Galarnyk

College of Computing, Georgia Institute of Technology · Department of Mathematics and Systems Engineering, Florida Institute of Technology · Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology

Neural Operators Text-Conditioned Diffusion Model Fourier Neural Operators Text Analysis and Detection Diagnosis

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Lower error from a text-conditioned neural surrogate does not, by itself, show that the model uses the meaning of the text. We examine this attribution problem with OperatorCLIP, comparing an unconditioned FNO, a constant-sentence FiLM control, and a fixed task description trained with contrastive alignment. Three-seed experiments cover Darcy2D, ShallowWater2D, and three-dimensional compressible Navier-Stokes (CNS3D). Constant conditioning has lower mean test error on both 2D tasks. Relative to this control, task text plus alignment has a similar mean on ShallowWater2D and CNS3D and a higher mean on Darcy2D; these descriptive comparisons have substantial seed uncertainty. The latter comparison changes both prompt content and loss, so it isolates neither effect. The text encoder is trained from scratch, and each conditioned model sees only one description during training. In this regime, pairwise InfoNCE cannot identify matched pairs and has minimum

\log B

. Prompt interventions show no reliable semantic ordering. This methodological caution demonstrates why pathway controls are needed; it neither establishes semantic competence of the encoder nor tests the effectiveness of text under varying physical context.

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