Diffusion Model Adaptation

Latest papers

25 papers4 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform
Oct 4, 2026Jieke Wu, Qijie Zhu, Weimin Wu +3Diffusion Model Adaptation Diffusion Model Guidance
Department of Computer Science, King Abdullah University of Science and Technology · Department of Statistics and Data Science, Northwestern University · Center for Foundation Models and Generative AI, Northwestern University Department of Computer Science, Northwestern University +1
Diffu-LoRA: A Novel Low-Rank Adaptation for Personalized Diffusion Models
Sep 24, 2026Tianjing Li, Wei ZhuNonlinear LoRA Diffusion Model Adaptation
Zhangjiang Lab of Artificial Intelligence, Shanghai, China
dQwen3.5: Hybrid-Attention Diffusion Language Models
Sep 17, 2026Anton Xue, Litu Rout, Aditya Akella +3Diffusion Language Model Decoding Diffusion Language Models
University of Texas at Austin
STAR: Structure-aware Test-time Adaptation for diffusion-based light field Reconstruction
Sep 17, 2026Wontae Choi, Ki Ryum Moon, Jae Young Lee +2Diffusion Model Adaptation Image Reconstruction
Department of Artificial Intelligence (AI), Sungkyunkwan University (SKKU), Suwon, South Korea · Department of Electrical and Computer Engineering, SKKU, Suwon, South Korea
Continuous Adversarial MeanFlow Transfer
Aug 20, 2026Yara Bahram, Zahra Dehghani, Mélodie Desbos +3Diffusion Model Adaptation Flow Matching
LIVIA · ILLS · ÉTS Montreal +2
In-Loop Model Adaptation with Coupled Latent-Noise Guidance for High-Fidelity Subject-Driven Text-to-Image Generation
Aug 10, 2026Yushun Tang, Weiming Chen, Siyi Liu +3Diffusion Model Guidance Diffusion Model Adaptation
Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China · School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China · Pengcheng Lab, Shenzhen 518066, China
HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models
Aug 7, 2026Yu Xue, Haoxuan Qu, Zhuoling Li +5Diffusion Model Adaptation Diffusion Transformer
Lancaster University, Lancaster, UK · South China University of Technology, Guangzhou, China · NVIDIA AI Tech Centre, Singapore
UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective
Jul 27, 2026Xiaoyi Jiang, Jingyuan Li, Yixuan Jiang +4Diffusion Language Models Diffusion Models
Tsinghua University · MathonAI · Beijing Institute of Mathematical Sciences and Applications +1
Source-Prior-Driven Selective Adaptation for Efficient Diffusion Model Finetuning
Jul 23, 2026Yi Xiong, Yuan-Yuan Cheng, Xiao-Ming FuFine-Tuning Diffusion Model Fine-Tuning
University of Science and Technology of China, China
FADRA: Frequency-Aware Diffusion with Residual Adaptation for Video Face Restoration
Jul 7, 2026Jin Jiang, Jia Wang, Panwen Hu +2Diffusion Model Adaptation Video Diffusion Models
College of Information Technology (CIT), United Arab Emirates University (UAEU), Al Ain, Abu Dhabi, United Arab Emirates · State Key Laboratory of Physical Oceanography and the Faculty of Information Science and Engineering, Ocean University of China (OUC), Shandong, 266100, China · Computer Vision Department, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, United Arab Emirates
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 Generation Compositional Image Generation
Adobe Research, Romania · International Computer High School of Bucharest, Romania
DriftScope: Measuring The Hidden Effects of Diffusion Model Adaptation
Jun 30, 2026Héctor Laria, Yiping Han, Julian D. Santamaria +4Diffusion Model Adaptation Diffusion Model Unlearning
Computer Vision Center, Barcelona, Spain · Universitat Autonoma de Barcelona, Barcelona, Spain · Program of Computer Science, City University of Hong Kong (Dongguan), China +1
UNITY: Attention Flow Networks for Adaptive Conditioning in Diffusion
Jun 18, 2026Aryan Das, Koushik Biswas, Moloud Abdar +1Compositional Image Generation Conditional Diffusion Models
VIT Bhopal, India · IIIT Delhi, India · The University of Queensland, Australia +1
A2D2: Fine-Tuning Any-Length Discrete Diffusion for Adaptive Decoding
Jun 11, 2026Sophia Tang, Yuchen Zhu, Molei Tao +1Diffusion Model Fine-Tuning Diffusion 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
Hierarchical Variational Policies for Reward-Guided Diffusion
May 20, 2026Kushagra Pandey, Farrin Marouf Sofian, Jan Niklas Groeneveld +2Few-Step Diffusion Sampling Diffusion Model Guidance
Department of Computer Science University of California Irvine
Generation of Heterogeneous PET Images from Uniform Organ Activity Maps Using a Pretrained Domain-Adapted Diffusion Model
May 18, 2026Suya Li, Kaushik Dutta, Debojyoti Pal +2Diffusion Model Adaptation PET/CT Imaging
Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, USA · Imaging Science Program, McKelvey School of Engineering, Washington University in St Louis, St. Louis, USA · Department of Surgery, Washington University School of Medicine, St. Louis, USA +1
Efficient Adjoint Matching for Fine-tuning Diffusion Models
May 12, 2026Jeongwoo Shin, Dongsoo Shin, Yuchen Zhu +5Diffusion Model Fine-Tuning RL for Diffusion Models
Seoul National University · Georgia Institute of Technology · Sungkyunkwan University
AD-Relight: Training-Free Banner Relighting via Illumination Translation with Diffusion Priors
Apr 27, 2026Rameshwar Mishra, Bishshoy Das, A V Subramanyam +1Diffusion Model Adaptation Image Relighting
Dolby Labs, Bangalore
OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models
Apr 6, 2026Ali Aliev, Kamil Garifullin, Nikolay Yudin +5Model Merging Diffusion Model Adaptation
HSE University · FusionBrain Lab · AXXX
Not All Layers Are Created Equal: Adaptive LoRA Ranks for Personalized Image Generation
Mar 23, 2026Donald Shenaj, Federico Errica, Antonio CartaLow-Rank Adaptation Adaptive Rank Allocation
University of Pisa · NEC Laboratories Europe
Diffusion Controller: Framework, Algorithms and Parameterization
Mar 7, 2026Tong Yang, Moonkyung Ryu, Chih-Wei Hsu +4Diffusion Model Adaptation Diffusion Model Fine-Tuning
Carnegie Mellon University; Intern at Google Research · Google · Yale University
Training-Free Adaptation of Diffusion Models via Doob's $h$ -Transform
Feb 18, 2026Qijie Zhu, Zeqi Ye, Han Liu +2Diffusion Model Adaptation Diffusion Models
Department of Statistics and Data Science, Northwestern University. · Department of Industrial Engineering and Management Sciences, Northwestern University. · Department of Computer Science, Northwestern University.
Efficient Text-Guided Convolutional Adapter for the Diffusion Model
Feb 16, 2026Aryan Das, Koushik Biswas, Swalpa Kumar Roy +2Diffusion Model Adaptation Conditional Image Generation
VIT Bhopal · IIIT Delhi · Tezpur University Assam +1
FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning
Nov 22, 2025Bo Yin, Xiaobin Hu, Xingyu Zhou +7Fine-Tuning Adaptive Model Routing
National University of Singapore · University of Electronic Science and Technology of China · Nanyang Technological University +4
Low-dimensional adaptation of diffusion models: Convergence in total variation
Jan 22, 2025Jiadong Liang, Zhihan Huang, Yuxin ChenDiffusion Sampling Diffusion Models
Department of Statistics and Data Science, the Wharton School, University of Pennsylvania

Oct 4, 2026J/K move · Enter open · S save

D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform

Jieke Wu, Qijie Zhu, Weimin Wu, Zeqi Ye+2

Department of Computer Science, King Abdullah University of Science and Technology · Department of Statistics and Data Science, Northwestern University · Center for Foundation Models and Generative AI, Northwestern University Department of Computer Science, Northwestern University+1

Diffusion Model Adaptation Diffusion Model Guidance Masked Diffusion Models Doob H-Transform

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We propose D-DOIT (Discrete Doob-Oriented Inference-time Transformation), a training-free and efficient adaptation method for discrete diffusion models with generic rewards. D-DOIT formulates adaptation as sampling from a reward-tilted target distribution and realizes this transport through Doob's h-transform of the discrete diffusion reverse kernel, using only reward values rather than reward gradients. Unlike continuous diffusion, masked discrete diffusion samples categorical token-reveal transitions rather than continuous state updates. D-DOIT derives the corresponding discrete Doob's h-transform, which guides sampling by reweighting reverse transition probabilities instead of adding a drift correction. To make this transformation practical, D-DOIT avoids expensive future rollouts. At each guided step, D-DOIT samples candidate next states, uses the model prediction head to complete each candidate into a clean sequence, evaluates each completion with the reward oracle, and resamples the next state with probabilities proportional to the rewards. An optional late-stage best-of-K refinement further improves sample quality by branching trajectories only near the end of denoising, avoiding the

K

-fold cost over the full trajectory. Empirically, across regulatory DNA design and protein inverse folding benchmarks, D-DOIT outperforms training-free guidance baselines. It improves enhancer activity and cell-type specificity while preserving sequence naturalness, and achieves the highest success rate in protein inverse folding.