Improved Denoising Diffusion Probabilistic Models

International Conference on Machine Learning (ICML), 2021

18 February 2021

Alex Nichol

Prafulla Dhariwal

DiffM

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Papers citing "Improved Denoising Diffusion Probabilistic Models"

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MALeR: Improving Compositional Fidelity in Layout-Guided Generation Shivank Saxena D. Srivastava Makarand Tapaswi DiffM 126 0 0 08 Nov 2025
AD-DAE: Unsupervised Modeling of Longitudinal Alzheimer's Disease Progression with Diffusion Auto-Encoder Ayantika Das Arunima Sarkar Keerthi Ram M. Sivaprakasam DiffM MedIm 268 0 0 08 Nov 2025
Enhancing Diffusion Model Guidance through Calibration and Regularization Seyed Alireza Javid Amirhossein Bagheri Nuria González-Prelcic 150 0 0 08 Nov 2025
Multi-agent Coordination via Flow Matching Dongsu Lee Daehee Lee Amy Zhang 107 0 0 07 Nov 2025
Diffusion-Based Electromagnetic Inverse Design of Scattering Structured Media Mikhail Tsukerman Konstantin Grotov Pavel Ginzburg DiffM MedIm 81 0 0 07 Nov 2025
Unified Multimodal Diffusion Forcing for Forceful Manipulation Zixuan Huang Huaidian Hou Dmitry Berenson DiffM 77 0 0 06 Nov 2025
Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems Hans Harder Abhijeet Vishwasrao L. Guastoni Ricardo Vinuesa Sebastian Peitz 169 0 0 06 Nov 2025
AI-Generated Image Detection: An Empirical Study and Future Research Directions Nusrat Tasnim Kutub Uddin K. Malik AAML 188 0 0 04 Nov 2025
Stability of mixed-state phases under weak decoherence Yifan F. Zhang Sarang Gopalakrishnan 130 1 0 03 Nov 2025
Towards One-step Causal Video Generation via Adversarial Self-Distillation Yongqi Yang Huayang Huang Xu Peng Xiaobin Hu Donghao Luo Jiangning Zhang Chengjie Wang Yu Wu DiffM VGen 185 2 0 03 Nov 2025
Floor Plan-Guided Visual Navigation Incorporating Depth and Directional Cues Wei Huang Jiaxin Li Zang Wan Huijun Di Wei Liang Zhu Yang 233 0 0 03 Nov 2025
Deep Generative Models for Enhanced Vitreous OCT Imaging Simone Sarrocco P. Cattin Peter M. Maloca Paul Friedrich Philippe Valmaggia DiffM MedIm 206 0 0 02 Nov 2025
Occlusion-Aware Diffusion Model for Pedestrian Intention Prediction Yu Liu Zhijie Liu Zedong Yang You-Fu Li He Kong DiffM 212 0 0 02 Nov 2025
Enhancing Frequency Forgery Clues for Diffusion-Generated Image Detection D. Zhang Tong Zhang Shiming Ge Sabine Süsstrunk DiffM AAML 168 0 0 01 Nov 2025
Improving Robustness to Out-of-Distribution States in Imitation Learning via Deep Koopman-Boosted Diffusion PolicyIEEE Transactions on robotics (IEEE TRO), 2025 Dianye Huang Nassir Navab Zhongliang Jiang 275 0 0 01 Nov 2025
MoTDiff: High-resolution Motion Trajectory estimation from a single blurred image using Diffusion models Wontae Choi Jaelin Lee Hyung Sup Yun Byeungwoo Jeon Il Yong Chun DiffM 122 0 0 30 Oct 2025
Generative Image Restoration and Super-Resolution using Physics-Informed Synthetic Data for Scanning Tunneling Microscopy Nikola L. Kolev Tommaso Rodani Neil J. Curson Taylor J. Z. Stock Alberto Cazzaniga MedIm 84 0 0 29 Oct 2025
Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance Y. X. Wei Shiwei Zhang Hangjie Yuan Yujin Han Zhekai Chen ... Difan Zou Xihui Liu Yingya Zhang Yu Liu Hongming Shan DiffM MoE 188 3 0 28 Oct 2025
CT-Less Attenuation Correction Using Multiview Ensemble Conditional Diffusion Model on High-Resolution Uncorrected PET Images Alexandre St-Georges Gabriel Richard Maxime Toussaint Christian Thibaudeau Etienne Auger Étienne Croteau Stephen Cunnane Roger Lecomte Jean-Baptiste Michaud DiffM MedIm 48 0 0 28 Oct 2025
LRT-Diffusion: Calibrated Risk-Aware Guidance for Diffusion Policies Ximan Sun Xiang Cheng OffRL 64 0 0 28 Oct 2025
Closing Gaps: An Imputation Analysis of ICU Vital Signs Alisher Turubayev Anna Shopova Fabian Lange Mahmut Kamalak Paul Mattes Victoria Ayvasky B. Arnrich Bjarne Pfitzner Robin Van De Water 128 1 0 28 Oct 2025
On the Anisotropy of Score-Based Generative Models Andreas Floros Seyed-Mohsen Moosavi-Dezfooli Pier Luigi Dragotti 184 1 0 27 Oct 2025
VALA: Learning Latent Anchors for Training-Free and Temporally Consistent Zhangkai Wu Xuhui Fan Zhongyuan Xie Kaize Shi Longbing Cao DiffM VGen 96 0 0 27 Oct 2025
Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling Ruoyu Wang B. Zhu J. Li Liangyu Yuan Chi Zhang DiffM 160 0 0 27 Oct 2025
Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models Lexiang Xiong Chengyu Liu Jingwen Ye Yan Liu Yuecong Xu DiffM 98 0 0 26 Oct 2025
SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning Chen Chen Majid Abdolshah Violetta Shevchenko Hongdong Li Chang Xu Pulak Purkait DiffM 112 0 0 26 Oct 2025
Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation Bailey Trang Parham Saremi Alan Wang Fangrui Huang Zahra Tehraninasab Amar Kumar Tal Arbel L. Fei-Fei Ehsan Adeli 139 1 0 25 Oct 2025
MAGIC-Flow: Multiscale Adaptive Conditional Flows for Generation and Interpretable Classification Luca Caldera Giacomo Bottacini Lara Cavinato OOD MedIm 164 0 0 24 Oct 2025
StylePitcher: Generating Style-Following and Expressive Pitch Curves for Versatile Singing Tasks Jingyue Huang Qihui Yang Fei Yueh Chen Julian McAuley Randal Leistikow Perry R. Cook Yongyi Zang 84 0 0 24 Oct 2025
Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising Mateo Clemente Leo Maxime Brunswic Rui Heng Yang Xuan Zhao Yasser H. Khalil Haoyu Lei Amir Rasouli Yinchuan Li DiffM 114 0 0 24 Oct 2025
Generative AI in Depth: A Survey of Recent Advances, Model Variants, and Real-World ApplicationsJournal of Big Data (JBD), 2025 Shamim Yazdani Akansha Singh N. Saxena Sribala Vidyadhari Chinta Avash Palikhe Deng Pan Umapada Pal Jie Yang Wenbin Zhang 152 2 0 23 Oct 2025
A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation Jiacheng Liu Xinyu Wang Yuqi Lin Zhikai Wang P. Wang ... Zexuan Yan Zhengyi Shi Chang Zou Yue Ma Linfeng Zhang 283 2 0 22 Oct 2025
DiffPace: Diffusion-based Plug-and-play Augmented Channel Estimation in mmWave and Terahertz Ultra-Massive MIMO Systems Zhengdong Hu Chong Han Wolfgang H. Gerstacker Robert Schober 84 0 0 21 Oct 2025
Learning Boltzmann Generators via Constrained Mass Transport Christopher von Klitzing Denis Blessing Henrik Schopmans Pascal Friederich Gerhard Neumann OT 276 0 0 21 Oct 2025
A Cross-Environment and Cross-Embodiment Path Planning Framework via a Conditional Diffusion Model Mehran Ghafarian Tamizi Homayoun Honari Amir M. Soufi Enayati Aleksey Nozdryn-Plotnicki Homayoun Najjaran 162 0 0 21 Oct 2025
HyperDiffusionFields (HyDiF): Diffusion-Guided Hypernetworks for Learning Implicit Molecular Neural Fields Sudarshan Babu Phillip Lo Xiao Zhang Aadi Srivastava Ali Davariashtiyani Jason Perera Michael Maire Aly A. Khan AI4CE 155 0 0 20 Oct 2025
Noise Aggregation Analysis Driven by Small-Noise Injection: Efficient Membership Inference for Diffusion Models Guo Li Yuyang Yu Xuemiao Xu DiffM 120 0 0 18 Oct 2025
H2OFlow: Grounding Human-Object Affordances with 3D Generative Models and Dense Diffused Flows Harry Zhang Luca Carlone 113 0 0 17 Oct 2025
LightsOut: Diffusion-based Outpainting for Enhanced Lens Flare Removal Shr-Ruei Tsai Wei-Cheng Chang Jie-Ying Lee Chih-Hai Su Yu-Lun Liu DiffM 152 2 0 17 Oct 2025
Latent Diffusion Model without Variational Autoencoder Minglei Shi Haolin Wang Wenzhao Zheng Ziyang Yuan X. Wu Xintao Wang Pengfei Wan Jie Zhou Jiwen Lu 295 14 0 17 Oct 2025
Membership Inference over Diffusion-models-based Synthetic Tabular Data Peini Cheng Amir Bahmani 134 1 0 16 Oct 2025
Restoring Noisy Demonstration for Imitation Learning With Diffusion ModelsIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025 Shang-Fu Chen Co Yong Shao-Hua Sun DiffM 120 0 0 16 Oct 2025
Counting Hallucinations in Diffusion Models Shuai Fu Jian Zhou Qi Chen Huang Jing Huy Anh Nguyen Xiaohan Liu Zhixiong Zeng Lin Ma Quanshi Zhang Qi Wu DiffM HILM 271 0 0 15 Oct 2025
Briding Diffusion Posterior Sampling and Monte Carlo methods: a survey Yazid Janati Alain Durmus Jimmy Olsson Eric Moulines 72 0 0 15 Oct 2025
Continuous-Token Diffusion for Speaker-Referenced TTS in Multimodal LLMs Xinlu He Swayambhu Nath Ray Harish Mallidi Jia-Hong Huang Ashwin Bellur Chander Chandak M. Maruf Venkatesh Ravichandran 135 0 0 14 Oct 2025
Mitigating the Noise Shift for Denoising Generative Models via Noise Awareness Guidance Jincheng Zhong Boyuan Jiang Xin Tao Pengfei Wan Kun Gai Mingsheng Long DiffM 104 0 0 14 Oct 2025
SDGraph: Multi-Level Sketch Representation Learning by Sparse-Dense Graph Architecture Xi Cheng Pingfa Feng Zhichao Liao Mingyu Fan Long Zeng 117 0 0 14 Oct 2025
Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization Zihao Zhao Christopher Yeh Lingkai Kong Kai Wang 95 0 0 13 Oct 2025
Offline Reinforcement Learning with Generative Trajectory Policies Xinsong Feng Leshu Tang Chenan Wang Haipeng Chen OffRL 113 0 0 13 Oct 2025
Diffusion Transformers with Representation Autoencoders Boyang Zheng Nanye Ma Shengbang Tong Saining Xie DiffM 174 37 0 13 Oct 2025