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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  1. Pooling Representation Autoencoders for Efficient Diffusion

    Oct 7, 2026Ramón Calvo-González, Youssef Saied, François FleuretAutoencodersDiffusion-Based Image Generation

    University of Geneva · University of Geneva and Meta

  2. Backend-Agnostic Sparse Attention for Fast High-Resolution Visual Generation

    Oct 6, 2026Liao Ma, Jiayi Song, Yunfeng Wu +2Video Diffusion ModelsDiffusion Transformer

    School of Artificial Intelligence, Shanghai Jiao Tong University · School of Data Science, Fudan University · School of Computing and Data Science, The University of Hong Kong

  3. Two Halves are More than One: Phase-wise Velocity Distillation for Fast and High-Quality Image Generation

    Oct 6, 2026Zhen Guo, Rongyuan Wu, Qiaosi Yi +3Diffusion Model DistillationDiffusion Distillation

    Department of Computing, The Hong Kong Polytechnic University · OPPO Research Institute

  4. Level-of-Token Diffusion

    Oct 5, 2026Kiyohiro Nakayama, Brian Chao, Jan Ackermann +5Video Diffusion ModelsDiffusion Transformer

    Stanford University · Google

  5. LiFT: Loop Flow Transformers

    Oct 4, 2026Mohammad Mahdi Derakhshani, Pedro M. P. Curvo, Gertjan J. Burghouts +2Diffusion TransformerRecurrent Transformers

    VISLab · University of Amsterdam · TNO, Intelligent Imaging +1

  6. FACET: Factorized Asymmetric Conditioning for Efficient Transport in High-Fidelity Fluorescence Microscopy Synthesis

    Oct 4, 2026Sazan Mahbub, Caleb N. Ellington, Eric P. XingConditional Image GenerationDiffusion-Based Image Generation

    Carnegie Mellon University · GenBio AI · Mohamed bin Zayed University of AI

  7. DMAD: Distribution Matching as Adversarial Distillation for Fast Visual Generation

    Oct 1, 2026Zhengming Yu, Junkun Yuan, Haotian Yang +8Diffusion Model DistillationFew-Step Diffusion Sampling

    Texas A&M University · Intelligent Creation, ByteDance

  8. DC-SAE: Deep Compression Semantic Autoencoder for Faster Diffusion Convergence

    Sep 30, 2026Xu Huang, Ye Huang, Zijun Liao +6AutoencodersDiffusion-Based Image Generation

    Peking University · Singapore University of Technology and Design

  9. From Unity Simulation to Diffusion-Based Augmentation: Quantifying Dataset Balance for Robust Object Detection

    Sep 29, 2026Mohamed Benkedadra, Aissa Saoudi, Maxime Gloesener +2Synthetic-to-Real Domain AdaptationSynthetic Data Augmentation

    ILIA, Université de Mons Mons, Belgium · Université Polytechnique Hauts-de-France Valenciennes, France · DeepILIA, ILIA, Université de Mons Mons, Belgium +1

  10. Improved Distributional Diffusion Models

    Sep 29, 2026Tommaso Martorella, Alexandre Galashov, Felix Krause +4Few-Step Diffusion SamplingDiffusion-Based Image Generation

    Munich Center for Machine Learning (MCML) · Google DeepMind

  11. Representation by Design in Generation: Cross-View Class-Token Alignment in Diffusion Transformers

    Sep 28, 2026Xiaoyu Wu, Yifei Wang, Chen WeiFlow MatchingDiffusion Transformer

    Carnegie Mellon University · Rice University

  12. Persistence Forcing: Exploiting Feature Specialization in Pixel-Space Diffusion

    Sep 28, 2026Chong Wang, Zixuan Fu, Shiqi Huang +3Diffusion TransformerDiffusion Guidance

    Nanyang Technological University · KTH Royal Institute of Technology · Hebei University of Technology

  13. Residual-Stream Burden Shapes Representation Learning in Diffusion Transformers

    Sep 27, 2026Tongtong Liang, Siqi Kou, Ziqiao Xi +6Diffusion TransformerResidual Learning

    UC San Diego · Shanghai Jiao Tong University · Aether AI

  14. FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders

    Sep 25, 2026Hongyang Du, Yunfei Xie, Junjie Ye +13AutoencodersImage Reconstruction

    USC PSI Lab · Brown University · Rice University +4

  15. PixelDiT2: Representation-Grounded Pixel Diffusion Transformers

    Sep 21, 2026Yongsheng Yu, Wei Xiong, Yichen Sheng +2Diffusion Model GuidanceDiffusion Transformer

    NVIDIA · University of Rochester

  16. AlignMorph: Tuning-Free Diffusion Image Morphing via Explicit Semantic Transport

    Sep 21, 2026Wuyi Liu, Xu Han, Yuren Chen +3Diffusion-Based Image Generation

    Huazhong University of Science and Technology · Beijing Jiaotong University · Beihang University +1

  17. PhysReflect: Geometry and Perception Guided Diffusion for Physically-Plausible Mirror Reflections

    Sep 20, 2026Shuheng Ge, Hongwei Ren, Li Zhang +1Diffusion Model GuidanceImage Generation

    Harbin Institute of Technology, Harbin, China

  18. Beyond the Foreground: FOV-Aware Polyp Image Synthesis via Lesion-Guided Adaptive Mucosal Context Propagation

    Sep 17, 2026Tong Wang, Yuting He, Bin Ren +2Synthetic Data AugmentationDiffusion-Based Image Generation

    Southeast University · MBZUAI · Case Western Reserve University

  19. Spatially Adaptive Noise Injection

    Sep 16, 2026Frantzeska Lavda, Maciej Falkiewicz, Van Khoa Nguyen +1Diffusion SamplingDiffusion-Based Image Generation

    University of Applied Sciences Western Switzerland, HES-SO Geneva · Computer Science Department, University of Geneva

  20. Mudragen: Geometrically Supervised Generation of Interacting Two-Hand Mudras for Preserving Indian Classical Dance Heritage

    Sep 3, 2026Jagadish Kashinath Kamble, Jayanta Mukhopadhyay, Debaditya Roy +1Conditional Image GenerationHuman Motion Generation

    Indian Institute of Technology Kharagpur Kharagpur, West Bengal, INDIA · Ashoka University Sonipat, Haryana, INDIA

  21. DPA: Decoupling Product-Agnostic Anomaly Representations for Zero-shot Anomaly Generation

    Sep 2, 2026Hang Yao, Yansheng Fu, Ming Liu +4Industrial Anomaly DetectionDiffusion-Based Image Generation

  22. Denoising Diffusion Generative Models Secretly Calculate Attentions

    Sep 1, 2026Farzan Haddadi, Leila Monfared, Ebrahim Rezaii +3Attention Control in Diffusion ModelsDiffusion-Based Image Generation

    School of Electrical Engineering, Iran University of Science & Technology, Tehran, IRAN · Independent researcher

  23. Advanced Pixel Diffusion Model with Guided Sparse Global Refinement

    Sep 1, 2026Weiyi You, Jinhua Zhang, Xingyu Zhou +3Pixel-Space Diffusion ModelsDiffusion-Based Image Generation

    University of Electronic Science and Technology of China

  24. From Local Mismatch to Global Impact: Optimizing Cache Reuse Policy for Efficient Diffusion

    Aug 13, 2026Xichen Ye, Yifan Wu, Zhikang Xie +3Video Diffusion ModelsDiffusion-Based Image Generation

    College of Computer Science and Artificial Intelligence, Fudan University · Faculty of Engineering, The Chinese University of Hong Kong · School of Data Science, Fudan University

  25. 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

  26. Unveiling the Secret of AdaLN-Zero in Diffusion Transformer

    Aug 10, 2026Jie Zhu, Mingyu Ding, Boqiang Duan +2Diffusion TransformerNeural Network Initialization

    Key Lab of High Confidence Software Technologies (Peking University), Ministry of Education, China, and School of Computer Science, Peking University, China. · UC Berkeley · Baidu, Beijing, China

  27. InsertFuse: A Unified Framework for Multi-Category Reference-Guided Image Insertion

    Aug 6, 2026Guangzhao Li, Qingyan Wei, Huayu Zheng +7Conditional Image GenerationDiffusion-Based Image Generation

    1Shanghai Jiao Tong University · 2Shanghai Innovation Institute · 4Xi’an Jiaotong University +2

  28. Controllable Clothing: Precise Labels and Generation for Virtual Try-On with Latent Diffusion Models

    Aug 6, 2026Max Rehman LinderVirtual Try-OnConditional Image Generation

    PUBLICIS RESOURCES GENAI TEAM · ÉCOLE POLYTECHNIQUE

  29. A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets

    Aug 5, 2026Harvey Mannering, Yilin Zhang, Ziao Liu +3Synthetic Data AugmentationUltrasound Imaging

    University of Southampton · Tsinghua University · King’s College London +1

  30. STEP-OPD: Rethinking Output Targets and Internal Dynamics in On-Policy Distillation for Diffusion Models

    Aug 5, 2026Qingyan Wei, Guangzhao Li, Xiaobing Tu +5Diffusion Model DistillationDiffusion-Based Image Generation

    Shanghai Jiao Tong University · Shanghai Innovation Institute · Alibaba Group