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Denoising Diffusion Probabilistic Models
v1v2 (latest)

Denoising Diffusion Probabilistic Models

Neural Information Processing Systems (NeurIPS), 2025
19 June 2020
Jonathan Ho
Ajay Jain
Pieter Abbeel
    DiffM
ArXiv (abs)PDFHTMLGithub (4424★)

Papers citing "Denoising Diffusion Probabilistic Models"

50 / 9,926 papers shown
Title
A Connection Between Score Matching and Local Intrinsic Dimension
A Connection Between Score Matching and Local Intrinsic Dimension
Eric Yeats
Aaron Jacobson
Darryl Hannan
Yiran Jia
T. Doster
Henry Kvinge
Scott Mahan
DiffM
36
0
0
14 Oct 2025
Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
Junhyuk So
Chiwoong Lee
Shinyoung Lee
Jungseul Ok
Eunhyeok Park
AI4CE
14
0
0
14 Oct 2025
Scene Coordinate Reconstruction Priors
Scene Coordinate Reconstruction Priors
Wenjing Bian
Axel Barroso-Laguna
Tommaso Cavallari
V. Prisacariu
Eric Brachmann
8
0
0
14 Oct 2025
Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration
Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration
Wenjie Li
Xiangyi Wang
Heng Guo
Guangwei Gao
Zhanyu Ma
DiffM
12
1
0
14 Oct 2025
Controlling Intent Expressiveness in Robot Motion with Diffusion Models
Controlling Intent Expressiveness in Robot Motion with Diffusion Models
Wenli Shi
Clemence Grislain
Olivier Sigaud
Mohamed Chetouani
DiffMVGen
16
0
0
14 Oct 2025
T(R,O) Grasp: Efficient Graph Diffusion of Robot-Object Spatial Transformation for Cross-Embodiment Dexterous Grasping
T(R,O) Grasp: Efficient Graph Diffusion of Robot-Object Spatial Transformation for Cross-Embodiment Dexterous Grasping
Xin Fei
Zhixuan Xu
Huaicong Fang
Tianrui Zhang
Lin Shao
12
0
0
14 Oct 2025
DPL: Spatial-Conditioned Diffusion Prototype Enhancement for One-Shot Medical Segmentation
DPL: Spatial-Conditioned Diffusion Prototype Enhancement for One-Shot Medical Segmentation
Ziyuan Gao
Philippe Morel
DiffMMedIm
12
0
0
14 Oct 2025
Machine Learning-Based Ultrasonic Weld Characterization Using Hierarchical Wave Modeling and Diffusion-Driven Distribution Alignment
Machine Learning-Based Ultrasonic Weld Characterization Using Hierarchical Wave Modeling and Diffusion-Driven Distribution Alignment
Joshua R. Tempelman
Adam J. Wachtor
Eric B. Flynn
12
0
0
14 Oct 2025
Advancing End-to-End Pixel Space Generative Modeling via Self-supervised Pre-training
Advancing End-to-End Pixel Space Generative Modeling via Self-supervised Pre-training
Jiachen Lei
Keli Liu
Julius Berner
Haiming Yu
Hongkai Zheng
Jiahong Wu
Xiangxiang Chu
DiffM
8
1
0
14 Oct 2025
Probabilistic Super-Resolution for Urban Micrometeorology via a Schrödinger Bridge
Probabilistic Super-Resolution for Urban Micrometeorology via a Schrödinger Bridge
Y. Yasuda
R. Onishi
DiffM
13
0
0
14 Oct 2025
WaterFlow: Explicit Physics-Prior Rectified Flow for Underwater Saliency Mask Generation
WaterFlow: Explicit Physics-Prior Rectified Flow for Underwater Saliency Mask Generation
Runting Li
Shijie Lian
Hua Li
Yutong Li
Wenhui Wu
Sam Kwong
12
0
0
14 Oct 2025
What If : Understanding Motion Through Sparse Interactions
What If : Understanding Motion Through Sparse Interactions
S. A. Baumann
Nick Stracke
Timy Phan
Bjorn Ommer
12
0
0
14 Oct 2025
Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory
Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory
Hanru Bai
Weiyang Ding
Difan Zou
DiffM
4
0
0
14 Oct 2025
Diffusion Models for Reinforcement Learning: Foundations, Taxonomy, and Development
Diffusion Models for Reinforcement Learning: Foundations, Taxonomy, and Development
Changfu Xu
Jianxiong Guo
Yuzhu Liang
Haiyang Huang
Haodong Zou
Xi Zheng
Shui Yu
Xiaowen Chu
Jiannong Cao
Tian-sheng Wang
OffRLAI4CE
16
0
0
14 Oct 2025
Mitigating the Noise Shift for Denoising Generative Models via Noise Awareness Guidance
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
8
0
0
14 Oct 2025
The Impact of Synthetic Data on Object Detection Model Performance: A Comparative Analysis with Real-World Data
The Impact of Synthetic Data on Object Detection Model Performance: A Comparative Analysis with Real-World Data
Muammer Bay
Timo von Marcard
Dren Fazlija
12
0
0
14 Oct 2025
A Gradient Guided Diffusion Framework for Chance Constrained Programming
A Gradient Guided Diffusion Framework for Chance Constrained Programming
Boyang Zhang
Zhiguo Wang
Ya-Feng Liu
DiffM
12
0
0
14 Oct 2025
Continuous-Token Diffusion for Speaker-Referenced TTS in Multimodal LLMs
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
12
0
0
14 Oct 2025
LayerSync: Self-aligning Intermediate Layers
LayerSync: Self-aligning Intermediate Layers
Yasaman Haghighi
B. V. Delft
Mariam Hassan
Alexandre Alahi
12
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0
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BIGFix: Bidirectional Image Generation with Token Fixing
BIGFix: Bidirectional Image Generation with Token Fixing
Victor Besnier
David Hurych
Andrei Bursuc
Eduardo Valle
VGen
20
0
0
14 Oct 2025
MS-GAGA: Metric-Selective Guided Adversarial Generation Attack
MS-GAGA: Metric-Selective Guided Adversarial Generation Attack
Dion J. X. Ho
Gabriel Lee Jun Rong
Niharika Shrivastava
Harshavardhan Abichandani
Pai Chet Ng
Xiaoxiao Miao
AAML
8
0
0
14 Oct 2025
EReLiFM: Evidential Reliability-Aware Residual Flow Meta-Learning for Open-Set Domain Generalization under Noisy Labels
EReLiFM: Evidential Reliability-Aware Residual Flow Meta-Learning for Open-Set Domain Generalization under Noisy Labels
Kunyu Peng
Di Wen
Kailun Yang
Jia Fu
Yufan Chen
...
Junwei Zheng
M. Sarfraz
Luc Van Gool
Danda Pani Paudel
Rainer Stiefelhagen
8
0
0
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DiffEM: Learning from Corrupted Data with Diffusion Models via Expectation Maximization
DiffEM: Learning from Corrupted Data with Diffusion Models via Expectation Maximization
Danial Hosseintabar
Fan Chen
Giannis Daras
Antonio Torralba
C. Daskalakis
12
0
0
14 Oct 2025
Reference-Specific Unlearning Metrics Can Hide the Truth: A Reality Check
Reference-Specific Unlearning Metrics Can Hide the Truth: A Reality Check
Sungjun Cho
Dasol Hwang
Frederic Sala
Sangheum Hwang
Kyunghyun Cho
Sungmin Cha
DiffMMU
24
0
0
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SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models
SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models
Weiyang Jin
Yuwei Niu
Jiaqi Liao
Chengqi Duan
Aoxue Li
Shenghua Gao
Xihui Liu
LRM
9
0
0
14 Oct 2025
Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model
Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model
Fuhao Li
Wenxuan Song
Han Zhao
Jingbo Wang
Pengxiang Ding
Donglin Wang
Long Zeng
Haoang Li
12
0
0
14 Oct 2025
Learning Human Motion with Temporally Conditional Mamba
Learning Human Motion with Temporally Conditional Mamba
Quang Minh Nguyen
T. H. Le
Baoru Huang
M. Vu
Ngan Le
Thieu Vo
Anh Duc Nguyen
Mamba
44
0
0
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SDGraph: Multi-Level Sketch Representation Learning by Sparse-Dense Graph Architecture
SDGraph: Multi-Level Sketch Representation Learning by Sparse-Dense Graph Architecture
Xi Cheng
Pingfa Feng
Zhichao Liao
Mingyu Fan
Long Zeng
12
0
0
14 Oct 2025
Unconditional Human Motion and Shape Generation via Balanced Score-Based Diffusion
Unconditional Human Motion and Shape Generation via Balanced Score-Based Diffusion
David Björkstrand
Tiesheng Wang
Lars Bretzner
Josephine Sullivan
DiffMVGen
8
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0
14 Oct 2025
Schrödinger bridge for generative AI: Soft-constrained formulation and convergence analysis
Schrödinger bridge for generative AI: Soft-constrained formulation and convergence analysis
Jin Ma
Ying Tan
Renyuan Xu
12
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0
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Reinforced sequential Monte Carlo for amortised sampling
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Sanghyeok Choi
Sarthak Mittal
Victor Elvira
Jinkyoo Park
Nikolay Malkin
16
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0
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CoDefend: Cross-Modal Collaborative Defense via Diffusion Purification and Prompt Optimization
CoDefend: Cross-Modal Collaborative Defense via Diffusion Purification and Prompt Optimization
Fengling Zhu
Boshi Liu
Jingyu Hua
Sheng Zhong
DiffMAAML
28
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0
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DiffStyleTS: Diffusion Model for Style Transfer in Time Series
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Mayank Nagda
Phil Ostheimer
Justus Arweiler
Indra Jungjohann
Jennifer Werner
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Michael Bortz
Hans Hasse
Stephan Mandt
Marius Kloft
Sophie Fellenz
DiffMAI4TS
12
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13 Oct 2025
ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance Generation
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Ruihang Xu
Dewei Zhou
Fan Ma
Yi Yang
DiffM
8
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Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States
Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States
Qinglin Zhu
Yizhen Yao
Runcong Zhao
Yanzheng Xiang
Amrutha Saseendran
Chen Jin
Philip Teare
Bin Liang
Yulan He
Lin Gui
DiffM
0
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Y-shaped Generative Flows
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Arip Asadulaev
Semyon Semenov
Abduragim Shtanchaev
Eric Moulines
Fakhri Karray
Martin Takáč
12
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Redundancy as a Structural Information Principle for Learning and Generalization
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Vince D. Calhoun
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Into the Unknown: Towards using Generative Models for Sampling Priors of Environment Uncertainty for Planning in Configuration Spaces
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Subhransu S. Bhattacharjee
Hao Lu
Dylan Campbell
Rahul Shome
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LikePhys: Evaluating Intuitive Physics Understanding in Video Diffusion Models via Likelihood Preference
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Fabio Pizzati
Francesco Pinto
Lars Kunze
Ivan Laptev
Paul Newman
Philip Torr
D. Martini
DiffMVGen
0
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Point Prompting: Counterfactual Tracking with Video Diffusion Models
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Sanyam Mehta
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Andrew Owens
DiffMVGen
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Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization
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Christopher Yeh
Lingkai Kong
Kai Wang
0
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MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics
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Shengkun Tang
Cong Zeng
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11
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Coherent Load Profile Synthesis with Conditional Diffusion for LV Distribution Network Scenario Generation
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Junyi Lu
Bruce Stephen
Blair Brown
Robert C. Atkinson
C. Michie
Fraser MacIntyre
Christos Tachtatzis
8
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FastHMR: Accelerating Human Mesh Recovery via Token and Layer Merging with Diffusion Decoding
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Andrea Iaboni
Babak Taati
8
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Massive Activations are the Key to Local Detail Synthesis in Diffusion Transformers
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Zicheng Zhao
Yuanpeng Tu
Xi Chen
Ziran Qin
Tieyuan Chen
Mehrtash Harandi
W. Lin
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Diffusion Transformers with Representation Autoencoders
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Nanye Ma
Shengbang Tong
Saining Xie
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WaveletDiff: Multilevel Wavelet Diffusion For Time Series Generation
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Offline Reinforcement Learning with Generative Trajectory Policies
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Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning
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Tianyi Zhang
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Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling
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Xianyuan Zhan
Jingjing Liu
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