Diffusion Model Fine-Tuning

Momentum

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

Jul 13Week of Sep 28

Latest papers 116

All topics
CardsList
  1. 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

  2. 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

  3. DiffusionGemma Technical Report

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

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

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

  5. 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

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

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

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

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

  8. 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

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

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

  10. Improving Medical Image Generative Models with Fréchet Distance Loss

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

  11. Probing Diffusion Denoising Dynamics for Contrastive Representation Learning

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

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

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

  13. 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

  14. 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

  15. Self-Improving Diffusion Classifiers with Minority Preference Optimization

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

  16. 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

  17. Optimizing Visual Generative Models via Distribution-wise Rewards

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

  18. PAPA: Online Personalized Active Preference Alignment

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

  19. 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

  20. Diffusion Fine-tuning with Rewarded Moment Matching Distillation

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

  21. 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

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

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

  23. 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

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

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

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

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

  26. 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

  27. 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