Diffusion Model Fine-Tuning

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19 papers in the last four weeks, against 2 the four weeks before. 0.2% of all new papers.

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  1. Iris-3B: Going Beyond the Latent with Pixel-Space Diffusion Training, Conversion and Fine-Tuning

    Oct 7, 2026Hanqiu Li Cai, Chema GarabitoT2I Diffusion ModelsPixel-Space Diffusion Models

    SperidLabs

  2. Are Parameter-Efficient Fine-tuning Methods Really Different?

    Oct 6, 2026Yikuan Li, Pinyan Lu, Fanghui LiuParameter-Efficient Fine-TuningLow-Rank Adaptation

    Department of Statistics, The University of Warwick, UK. · Key Laboratory of Interdisciplinary Research of Computation and Economics, Shanghai University of Finance and Economics, China. · School of Mathematical Sciences, Institute of Natural Sciences and MOE-LSC, Shanghai Jiao Tong University, China.

  3. MaRK: Markov-adapted Recurrent Kernels for Dynamic Operator Conditioning in State Space Models

    Oct 6, 2026Syed Ibrahim Omer, Ginny Y. Wong. Xiangyu ZhaoState Space ModelsDiffusion Model Fine-Tuning

    Department of Data Science City University of Hong Kong · NVIDIA AI Technology Center NVIDIA, Santa Clara, USA

  4. LiDAR Resolution Recovery via Foundation-Model-Guided Diffusion

    Oct 6, 2026Samed Doğan, Nico Leuze, Alfred SchöttlDiffusion Model GuidanceDepth Completion

    Dept. of Electrical Engineering and Information Technology Munich University of Applied Sciences, 80335 Munich, Germany

  5. Adapting a Latent Audio Diffusion Model to Historical Guqin Recordings: A Listening-Driven Case Study

    Oct 5, 2026Huanchen CaiText-to-Music GenerationMusic Generation Evaluation

    Division of Speech, Music and Hearing (TMH) KTH Royal Institute of Technology, Stockholm, Sweden

  6. CLASP: Continual Low-rank Adapters for Spatially Placed Concepts from One Hypernetwork

    Oct 1, 2026Wojciech Gromski, Patryk Krukowski, Jan Miksa +2Subject-Driven Image GenerationT2I Generation

    Wrocław University of Science and Technology · IDEAS Research Institute · Jagiellonian University, Krak´ow +2

  7. Fenchel Tilting: Weighted Correction for Efficient Finetuning of Generative Models

    Sep 30, 2026Maksim Bobrin, Maksim Zhdanov, Dmitry DylovDiffusion Model AlignmentConstrained Generative Modeling

    AXXX · Applied AI Institute · MBZUAI

  8. CAST: Causal Advantage-Structured Training with Spatially Grounded Compositional Rewards for Diffusion Models

    Sep 30, 2026Shu Yu, Chaochao LuDiffusion Model Fine-TuningCompositional T2I Generation

    Shanghai Artificial Intelligence Laboratory, Shanghai, China · Shanghai Innovation Institute, Shanghai, China · Fudan University, Shanghai, China

  9. ReGain: Restoring Subject Fidelity in Personalization on Synthetic Images

    Sep 30, 2026Shubhang Bhatnagar, Ishan Bhatnagar, Viraj Shah +1Diffusion Model GuidanceClassifier-Free Guidance

    University of Illinois Urbana-Champaign

  10. Fine-Tuning Diffusion Language Models with Context Selection and Target Weighting

    Sep 29, 2026Loay Mualem, Lluís Pastor-Pérez, Vinh Tong +4Masked Diffusion ModelsDiffusion Model Fine-Tuning

    IMPRS-IS · Institute for AI, University of Stuttgart · Bitdefender

  11. ExploreNet: Learning Where to Explore in Diffusion GRPO

    Sep 29, 2026Shuyue Stella Li, Xiaochuang Han, Yulia Tsvetkov +1Diffusion Model Fine-TuningRL Exploration

    University of Washington

  12. Adversarial Training for Pixel Diffusion

    Sep 29, 2026Xin Lin, Zhifei Zhang, Yuqian Zhou +4Adversarial TrainingPixel-Space Diffusion Models

    UC San Diego · Adobe Research · Work done during an internship at Adobe Research +1

  13. On Trajectory-Aware Training for Masked Diffusion Language Models

    Sep 29, 2026Manuel Madeira, Amitis Shidani, Alice Bizeul +6Masked Diffusion ModelsDiffusion Language Model Inference

    EPFL · Apple · Georgia Institute of Technology

  14. MeanFlowAdvantage: Stable Reward Fine-Tuning for Few-Step Average-Velocity Generators

    Sep 29, 2026Haocheng Tang, Tianchi Xie, Xingqiao LinFlow MatchingMeanFlow

    Northeastern University Boston, MA 02115, USA · Tsinghua University Beijing, 100084, PRC · Carnegie Mellon University Pittsburgh, PA 15213, USA

  15. Triangular Resampling for Long-Horizon Motion Generation

    Sep 28, 2026Kunhang Li, Yiyi Cai, Xiangyue Zhang +5Motion Diffusion ModelsHuman Motion Generation

    The University of Tokyo · Alaya Lab · Japan Advanced Institute of Science and Technology

  16. Revisiting Diffusion Fine-Tuning for Unsupervised Domain Adaptation

    Sep 27, 2026Xuan Qi, Yi Wei, Daniele Berardini +2Unsupervised Domain AdaptationDomain Adaptation

    AI for Good (AIGO), Istituto Italiano di Tecnologia, Genoa, Italy · DITEN, University of Genoa, Genoa, Italy · National Key Laboratory of Novel Software Technology, Nanjing University, China +3

  17. Elucidating the Design Space of Regression-based Diffusion Reinforcement Learning

    Sep 27, 2026Toyota Li, David Zhao, Alan ZhaoReinforcement LearningConstrained RL

    Tencent

  18. DOHF: Online Diffusion Fine-tuning with Doob's hh-transform Guidance

    Sep 25, 2026Zhengyi Guo, Jiayuan Sheng, Wenpin Tang +1Diffusion Model AlignmentDiffusion Model Guidance

  19. Corrective Forcing: Unified Post-Training for Diffusions and Flows in Generative Speech Enhancement

    Sep 21, 2026Qing Yao, Lijian Gao, Qirong MaoDiffusion Model Fine-TuningSpeech Enhancement

    School of Computer Science and Communication Engineering, Jiangsu University Jiangsu Engineering Research Center of Big Data Ubiquitous Perception and Intelligent Agriculture Applications Provincial Key Laboratory of Computational Intelligence and New Technologies in Low-Altitude Digital Agriculture Zhenjiang, China

  20. Principal-timestep Restricted Init via Sparse Matrix-decomposition in Flow-matching

    Sep 14, 2026Jiayang Gu, Zheng Fang, Lichaun Xiang +3Flow MatchingDiffusion Model Fine-Tuning

    University of Warwick · Bytedance

  21. DNF-SR: Dual-Input and Negative-Aware Feature Fine-Tuning for Real-World Image Super-Resolution

    Sep 14, 2026Shuhao Han, Wenjie Liao, Hayden Vance +4Diffusion Models for Image RestorationDiffusion Model Fine-Tuning

    VCIP, CS, Nankai University · Independent Researcher

  22. GRACE: Adaptive Concept Erasure with Geometry-Guided Retention in Diffusion Models

    Sep 14, 2026Qinghui Gong, Yihuai Liang, Yuanlun Xie +3Diffusion Model Fine-TuningDiffusion Model Unlearning

    School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China · School of Electronic Information and Electrical Engineering, Chengdu University, Chengdu, China · Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, Dalian University of Technology, Dalian, China +1

  23. Understanding LoRA Rank Trade-offs in Diffusion Model Fine-Tuning

    Sep 12, 2026Iman Khazrak, Narges Nejad, Mostafa M. Rezaee +1Diffusion Model Fine-TuningLow-Rank Adaptation

    Department of Computer Science, Bowling Green State University, Bowling Green, OH, USA. · Department of Management and Marketing, Angelo State University, San Angelo, TX, USA.

  24. Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation

    Sep 8, 2026Igor Pavlovic, Thiemo Wandel, Anton Obukhov +6Diffusion TransformerOOD Generalization

    EPFL, HUAWEI Bayer Lab, Switzerland · HUAWEI Bayer Lab, Switzerland · University of Bologna, Italy +1

  25. Gaussian Core LoRA: Distribution-Aware Dynamic Adaptation for Broad Concept Erasure

    Sep 1, 2026Qinghui Gong, Xunlei Chen, Yu-Xuan Zhang +2Diffusion Model Fine-TuningLow-Rank Adaptation

    Southwest Jiaotong University · University of Electronic Science and Technology of China

  26. AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss

    Aug 11, 2026Mingju Gao, Jingkai Zhou, Kun Gai +2Diffusion Model AlignmentDiffusion Model Fine-Tuning

    Peking University · KlingAI Research

  27. High-Quality Exposure Correction with Diffusion-Based Image Generation Priors

    Aug 9, 2026Ziwen Li, Meng Cao, Jinpu Zhang +4Image EnhancementDiffusion Model Fine-Tuning

    National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China · Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE · National University of Defense Technology, Changsha, China +1

  28. PAST: Prompt-Adaptive Sampling Termination for Efficient Diffusion Model

    Aug 7, 2026Renye Yan, Jikang Cheng, You Wu +4Intrinsic Reward MethodsReinforcement Learning

    Peking University Beijing, China

  29. Sample-Adaptive Latent Rewards for Uncertainty-Guided Diffusion Post-Training

    Aug 6, 2026Rui Li, Yuanzhi Liang, Ke Hao +4Diffusion Model AlignmentVideo Diffusion Models

    University of Science and Technology of China, Hefei, China · Institute of Artificial Intelligence, China Telecom (TeleAI), Shanghai, China · Shanghai Jiao Tong University, Shanghai, China

  30. When does training on downscaled images yield the same gradients?

    Aug 5, 2026Seunghyun JiDiffusion TransformerDiffusion Model Fine-Tuning

    Independent researcher

  31. NuclearDiffusion: Text-to-Image Foundation Models for Learning Nuclear Energy Concepts

    Aug 1, 2026Mohammed I. Radaideh, Jeremy Moon, Andre Gala-Garza +3Domain AdaptationDiffusion Model Fine-Tuning

    Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA · Michigan Institute for Computational Discovery and Engineering (MICDE), University of Michigan, Ann Arbor, Michigan 48109, USA · Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109, USA +1

  32. CopyCat: Improving Fine-Grained Subject Consistency in Subject-to-Image Models within Seconds

    Aug 1, 2026Peng Zheng, Ruiqi Liu, Rui Ma +1Diffusion TransformerSubject-Driven Image Generation

    School of Artificial Intelligence, Jilin University · 2Shanghai Innovation Institute · 4Engineering Research Center of Knowledge-Driven Human-Machine Intelligence, MOE, China +1

  33. DiffusionGemma Technical Report

    Jul 31, 2026DiffusionGemma Team, Adrien Ali Taïga, James Assiene +41Blockwise Diffusion Language ModelsDiffusion Model Fine-Tuning

  34. ScaleResfusion: Residual Rectified Flow based on Residual Vector Field

    Jul 28, 2026Zhenning Shi, Chen Xu, Junhao Zhang +4Diffusion Models for Image RestorationRectified Flow

    College of Computer Science, Nankai University, Tianjin, China · Faculty of Information Science and Computing, University of Macau, Macau, China · CSIRO Data61, Australia +1

  35. PreDiff-LM: Pretrained Discrete Masked Diffusion Language Modeling with Hybrid Attention

    Jul 28, 2026Zhengtao Yao, Runhao Li, Xupeng Chen +12Masked Diffusion ModelsAttention Control in Diffusion Models

    University of Southern California · New York University · Columbia University +4

  36. Source-Prior-Driven Selective Adaptation for Efficient Diffusion Model Finetuning

    Jul 23, 2026Yi Xiong, Yuan-Yuan Cheng, Xiao-Ming FuFine-TuningDiffusion Model Fine-Tuning

    University of Science and Technology of China, China

  37. MegaSlide-DiT: Memory-Centric Adaptation and Deformable Local Attention for Efficient Video Diffusion

    Jul 17, 2026Jiacheng Liu, Jason LiuVideo Diffusion ModelsDiffusion Transformer

    Trendinsight Lab / UC San Diego

  38. MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation

    Jul 16, 2026Yinhan Zhang, Dinwei Tan, Xianghao Kong +3Video Diffusion ModelsDiffusion Model Fine-Tuning

    HKUST · Tencent · HKUST(GZ)

  39. A Continuous-Time Reinforcement Learning Framework for Fine-Tuning Discrete Diffusion Models

    Jul 16, 2026Zikun Zhang, Jiayuan Sheng, David D. Yao +1Masked Diffusion ModelsRL for Language Model Reasoning

    Department of Industrial Engineering and Operations Research, Columbia University, New York, NY 10027

  40. Integration Matters: Rollout-Based Training for Constrained Diffusion Models

    Jul 15, 2026Xiaoxuan Liang, Saeid Naderiparizi, Berend Zwartsenberg +1Constrained Generative ModelingDiffusion Sampling

    University of British Columbia · Inverted AI · Alberta Machine Intelligence Institute

  41. Improving Medical Image Generative Models with Fréchet Distance Loss

    Jul 14, 2026Andrew Marshall, Xuanang Xu, Xiaoran Zhang +3Synthetic Data AugmentationDistribution Matching

    Department of Biomedical Engineering, Yale University · Department of Radiology & Biomedical Imaging, Yale University · Department of Electrical Engineering, Yale University

  42. Steering Diffusion Models via Class-Contrastive Influence for Few-Shot Medical Classification

    Jul 14, 2026Jeeyung Kim, Erfan Esmaeili, Qiang QiuSynthetic Data AugmentationDiffusion Model Fine-Tuning

    Purdue University, West Lafayette, USA

  43. Probing Diffusion Denoising Dynamics for Contrastive Representation Learning

    Jul 10, 2026Yasong Dai, Zeeshan Hayder, David Ahmedt-Aristizabal +1Contrastive LearningDiffusion Model Fine-Tuning

    Australian National University · CSIRO Data61 · Amazon

  44. TILDE: TILt-based Distributional Erasure for Concept Unlearning

    Jul 7, 2026Naveen George, Naoki Murata, Yuhta Takida +2Diffusion Model Fine-TuningDiffusion Model Unlearning

    Indian Institute of Technology Hyderabad · Sony AI · Sony AI & Sony Group Corporation

  45. FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models

    Jul 7, 2026Bowen Xue, Zihan Min, Xingyang Li +8Diffusion Model QuantizationQuantization-Aware Training

    Nunchux AI · MIT · Stanford +2

  46. LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models

    Jul 6, 2026Marian Lupascu, Sebastian Ripa, Mihai Trascau +2Subject-Driven Image GenerationCompositional Image Generation

    Adobe Research, Romania · International Computer High School of Bucharest, Romania

  47. DELTA-TTS: Adapting Autoregressive Model into Diffusion Language Model for Text-to-Speech

    Jul 5, 2026Junwon Moon, Seungbeom Kim, Yejin Lee +4TTS SynthesisDiffusion Model Fine-Tuning

    1Sungkyunkwan University · University of Seoul

  48. Self-Improving Diffusion Classifiers with Minority Preference Optimization

    Jul 4, 2026Hyunsoo Kim, Jungmyung Wi, Soobin Um +2Diffusion Model AlignmentLong-Tailed Classification

    1Korea University · 2Kook Min University · 3Kyung Hee University

  49. On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization

    Jul 3, 2026Trevor Chen, Ariel Dai, Jason Yang +8Molecular OptimizationDiffusion Model Fine-Tuning

    1Caltech · ETH Zurich · ETH AI Center +1

  50. Optimizing Visual Generative Models via Distribution-wise Rewards

    Jul 2, 2026Ruihang Li, Mengde Xu, Shuyang Gu +4Diffusion Model Fine-TuningRL for Image Generation

    University of Science and Technology of China · Shanghai Innovation Institute · Hunyuan Frontier Lab, Tencent +1

  51. PAPA: Online Personalized Active Preference Alignment

    Jul 1, 2026Anindya Sarkar, Nasik Muhammad Nafi, Isaac Lyngaas +2Diffusion Model AlignmentDiffusion Model Fine-Tuning

    Washington University in St. Louis · Oak Ridge National Laboratory

  52. SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing

    Jun 30, 2026Ruikang Zhao, Zhenting Wang, Han Gao +1Reinforcement LearningRL for Language Model Reasoning

    Technical University of Denmark · MBZUAI Institute of Foundation Models · Iowa State University +1

  53. Diffusion Fine-tuning with Rewarded Moment Matching Distillation

    Jun 29, 2026Alexis Jacq, Guillaume Couairon, Valentin De Bortoli +3Diffusion Model DistillationDiffusion Model Fine-Tuning

    1Google DeepMind

  54. SIFT: Self-Imagination Fine-Tuning for Physically Plausible Motion in Video Diffusion Models

    Jun 26, 2026Ruoyu Wang, Jialun Liu, Huayang Huang +5Physical Consistency in Video GenerationVideo Diffusion Models

    School of Computer Science, Wuhan University · Institute of Artificial Intelligence, China Telecom (TeleAI) · School of Artificial Intelligence, Wuhan University

  55. When Top-1 Fails: Calibrating LoRA Monitors for Masked Diffusion LMs

    Jun 23, 2026Lucky Verma, Pratik YadavDiffusion Model Fine-TuningDiffusion Language Models

    Independent Researcher · University of Maryland, Baltimore County

  56. Keep The Essentials: Efficient Reference Conditioned Generation via Token Dropping

    Jun 22, 2026Rishubh Parihar, Ayush Raina, R. Venkatesh Babu +1Conditional Image GenerationDiffusion Model Fine-Tuning

    1IISc Bangalore · 2Tel Aviv University

  57. Self-Generated Error Training for Token Editing in Diffusion Language Models

    Jun 15, 2026Lin YaoLLM Self-CorrectionDiffusion Model Fine-Tuning

    School of Computer Science, Shanghai Jiao Tong University, Shanghai, 200240, China · Zhongguancun Academy, Beijing, 100097, China

  58. Multi-Turn Reflective Masking Elicits Reasoning in Mask Diffusion Models

    Jun 15, 2026Yanming Zhang, Yihan Bian, Jingyuan Qi +3Masked Diffusion ModelsDiffusion Model Fine-Tuning

    University of Maryland · Virginia Tech · Intuit +2

  59. Prompt2Effect: Training-Free Image-to-Video Model Specialization via LoRA Generation

    Jun 11, 2026Xiaomeng Yang, Yanyu Li, Gordon Guocheng Qian +7Image-to-Video GenerationVideo Diffusion Models

    1Northeastern University, 2Snap Inc.

  60. A2D2: Fine-Tuning Any-Length Discrete Diffusion for Adaptive Decoding

    Jun 11, 2026Sophia Tang, Yuchen Zhu, Molei Tao +1Diffusion Model Fine-TuningDiffusion Language Model Decoding

    Department of Computer and Information Science, University of Pennsylvania · School of Mathematics, Georgia Institute of Technology · Department of Bioengineering, University of Pennsylvania