Diffusion-Based Image Generation

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15 papers in the last four weeks, up 114% on the four weeks before. 0.1% of all new papers.

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Towards More General Control of Diffusion Models Using Jeffrey Guidance
Jun 11, 2026Raphaël Razafindralambo, Rémy Sun, Frédéric Precioso +2Diffusion Model Guidance Diffusion Guidance
Inria, CNRS, I3S, Maasai Université Côte d’Azur, France · Technical University of Denmark, Denmark · Inria, CNRS, LJAD, Maasai Université Côte d’Azur, France
High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation
Jun 10, 2026Dongyang Liu, Ruoyi Du, David Liu +7Diffusion Model Distillation Few-Step Diffusion Sampling
Z-Image Team, Alibaba Group
Pose-ICL: 3D-Aware In-Context Learning for Pose-Controllable Subject Customization
Jun 9, 2026Xuan Han, Yihao Zhao, Mingyu YouSubject-Driven Image Generation In-Context Learning
College of Electronic and Information Engineering, Tongji University, Shanghai, China · State Key Laboratory of Autonomous Intelligent Unmanned Systems, Frontiers Science Center for Intelligent Autonomous Systems, Ministry of Education, Shanghai, China.
CSFlow: Aligning Flow Matching with Human Contrast Sensitivity
Jun 7, 2026Malgorzata Galinska, Bart Pogodzinski, Jan Eric LenssenFlow Matching Diffusion-Based Image Generation
Max Planck Institute for Informatics, Saarland Informatics Campus
AsyncPatch Diffusion: spatially-flexible image generation
Jun 5, 2026Samuele Papa, Valentin De Bortoli, Guillaume Couairon +3Diffusion Model Guidance Image Generation
Google DeepMind · University of Amsterdam · The Netherlands Cancer Institute
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows
Jun 5, 2026Xiang Yang, Feifei Li, Mi Zhang +4Diffusion Transformer Image Generation
Fudan University, Shanghai, China · East China University of Science and Technology, Shanghai, China · Shanghai University of Electric Power, Shanghai, China
Complexity-Balanced Diffusion Splitting
Jun 4, 2026Noam Issachar, Dani Lischinski, Raanan FattalDiffusion-Based Image Generation Diffusion Models
The Hebrew University of Jerusalem
ReSAGE-PAR: Representational Similarity Assessment for Generative Expansion in Pedestrian Attribute Recognition
Jun 4, 2026Pablo Ayuso-Albizu, Pablo Carballeira, Juan C. SanMiguel +1Synthetic Data Augmentation Diffusion-Based Image Generation
Universidad Aut´onoma de Madrid, Madrid, Spain
Efficient and Training-Free Single-Image Diffusion Models
Jun 3, 2026Haojun Qiu, Kiriakos N. Kutulakos, David B. LindellImage Generation Diffusion-Based Image Generation
Department of Computer Science, University of Toronto · Vector Institute
Improving Combined Detection and Classification of TEM Defects via Mask-Conditioned Latent Diffusion Augmentation
Jun 1, 2026Ni Li, Nuohao Liu, Ryan Jacobs +5Synthetic Data Augmentation Latent Diffusion Models
University of Wisconsin-Madison, Madison, WI · University of Michigan-Ann Arbor, Ann Arbor, MI
FairGen: Preference-Aligned Diffusion for Demographically Equitable Medical Image Synthesis
Jun 1, 2026Zhimin Li, Ruichen Zhang, Zhen Tan +3Diffusion Model Alignment Synthetic Data Augmentation
University of Pittsburgh, Swanson School of Engineering, Pittsburgh, 15261, USA · 2The University of North Carolina at Chapel Hill, Department of Computer Science, Chapel Hill, 27599, USA · 3Arizona State University, School of Computing and Augmented Intelligence, Tempe, 85281, USA +1
Strong Stochastic Flow Maps
May 31, 2026Sam McCallum, Zander W. Blasingame, Timothy Herschell +3Stochastic Differential Equations Few-Step Diffusion Sampling
University of Bath · 2AITHYRA
Improving Visual Representation Alignment Generation with GRPO
May 30, 2026Shentong Mo, Sukmin YunDiffusion Model Alignment Diffusion Transformer
Carnegie Mellon University · Hanyang University
Score-Control for Hallucination Reduction in Diffusion Models
May 29, 2026Mahesh Bhosale, Naresh Kumar Devulapally, Abdul Wasi +3Score Matching Diffusion-Based Image Generation
University at Buffalo Buffalo, NY, USA
UniVerse: A Unified Modulation Framework for Segmentation-Free,Disentangled Multi-Concept Personalization
May 29, 2026Quynh Phung, Sandesh Ghimire, Minsi Hu +2Diffusion Transformer Image Generation
University of Maryland, College Park · Qualcomm Technologies, Inc.
Representation Forcing for Bottleneck-Free Unified Multimodal Models
May 29, 2026Yuqing Wang, Zhijie Lin, Ceyuan Yang +10Unified Multimodal Models Conditional Image Generation
University of Hong Kong · ByteDance Seed · The Chinese University of Hong Kong +2
SteerFace: Debiasing Synthetic Face Generation via Adaptive Residue Perturbation
May 29, 2026Yuxi Mi, Qiuyang Yuan, Jianqing Xu +5Image Generation Identity-Preserving Image Generation
Fudan University Shanghai, China · Youtu Lab, Tencent Shanghai, China · WeChat Pay Lab33, Tencent Shenzhen, China
Colored Noise Diffusion Sampling
May 28, 2026Hadar Davidson, Noam Issachar, Sagie BenaimDiffusion Sampling Spectral Bias
The Hebrew University of Jerusalem
Towards Controllable Image Generation through Representation-Conditioned Diffusion Models
May 26, 2026Nithesh Chandher Karthikeyan, Jonas Unger, Gabriel EilertsenDiffusion-Based Image Generation Conditional Diffusion Models
Linköping University, Norrköping, Sweden
MRT: Masked Region Transformer for Layered Image Generation and Editing at Scale
May 26, 2026Zhicong Tang, Zhao Zhang, Jingye Chen +6Diffusion Transformer Image Generation
Canva Research
Equivalent Flows, Unequal Learning: Clean-Latent Prediction in Transformers
May 26, 2026Funing Fu, Tenghui Wang, Guanyu Zhou +2Flow Matching Diffusion Transformer
Independent Researcher · Wuhan University of Technology · Hangzhou Jiyi Artificial Intelligence Co., Ltd.
Black-box Membership Inference Attacks on the Pre-training Data of Image-generation Models
May 26, 2026Tao Qi, Huili Wang, Yuanhong Huang +6Membership Inference Attacks Diffusion-Based Image Generation
Beijing University of Posts and Telecommunications · Tsinghua University
Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation
May 25, 2026Shuhong Zheng, Aashish Kumar Misraa, Yu-Teng Li +2Subject-Driven Image Generation Identity-Preserving Image Generation
University of Toronto & Vector Institute · Work done in Adobe · Adobe +2
Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution
May 25, 2026Zixin Jessie Chen, Zhuo Chen, Archer Wang +4Diffusion-Based Image Generation Image Super-Resolution
Department of Physics, Massachusetts Institute of Technology · NSF AI Institute for Artificial Intelligence and Fundamental Interactions · Institute for Data, Systems and Society, Massachusetts Institute of Technology +1
Diffusion Image Generation with Explicit Modeling of Data Manifold Geometry
May 25, 2026Duoduo Xue, Zhiyu Zhu, Junhui HouDiffusion Transformer Diffusion Model Sampling
Department of Computer Science, City University of Hong Kong, China · City University of Hong Kong (Dongguan), China
BFS: Back-to-Front Layered Image Synthesis via Knowledge Transfer
May 24, 2026Kyoungkook Kang, Gyujin Sim, Sunghyun ChoConditional Image Generation Image Generation
SAMSUNG, Republic of Korea · POSTECH, Republic of Korea
Trajectory-Consistent Calibration for Cache-Accelerated Diffusion Models
May 24, 2026Mingyu Liang, Dingkun Xu, Jingwei XuDiffusion Transformer Diffusion-Based Image Generation
Laboratory for Novel Software Technology, Nanjing University, China
4KLSDB: A Large-Scale Dataset for 4K Image Restoration and Generation
May 23, 2026Zihao Zhu, Kuan-Ru Huang, Zhaoming Xu +6Image Restoration Diffusion-Based Image Generation
Texas A&M University · Hugging Face
Filtered Posterior Mean Collections: A Unified Framework for Analytical Models of Diffusion Generalization
May 22, 2026Matthew Niedoba, Berend Zwartsenberg, Frank WoodDiffusion-Based Image Generation Diffusion Models
University of British Columbia · 2Inverted AI · 3Alberta Machine Intelligence Institute
Diffusion Domain Expansion: Learning to Coordinate Pre-trained Diffusion Models
May 22, 2026Egor Lifar, Semyon Savkin, Timur Garipov +2Diffusion-Based Image Generation Conditional Diffusion Models
MIT CSAIL, Cambridge, USA

Jun 11, 2026, cs.LGJ/K move · Enter open · S save

Towards More General Control of Diffusion Models Using Jeffrey Guidance

Raphaël Razafindralambo, Rémy Sun, Frédéric Precioso, Jes Frellsen+1

Inria, CNRS, I3S, Maasai Université Côte d’Azur, France · Technical University of Denmark, Denmark · Inria, CNRS, LJAD, Maasai Université Côte d’Azur, France

Diffusion Model Guidance Diffusion Guidance Diffusion-Based Image Generation Inference-Time Guidance

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A key strength of diffusion models lies in their flexibility, since their outputs can be controlled at sampling time through guidance. However, beyond simple cases such as conditional sampling, the target distribution is often left implicit, defined only through a sampling rule or a heuristic energy function. To address this, we propose Jeffrey guidance, a principled framework that extends diffusion-model control to applications beyond what standard guidance can express. It leverages Jeffrey's rule of conditioning to update marginal distributions towards a prescribed target, preserving the conditional structure and minimally perturbing the joint distribution. We first demonstrate Jeffrey guidance by targeting a prescribed embedding distribution. With Inception embeddings as the target, this leads to substantial reductions in FID on both CIFAR-10 and FFHQ. We further apply Jeffrey guidance to fairness on CelebA-HQ, updating an unconditional diffusion model to enforce independence between attributes.

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