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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 / 9,783 papers shown
Title
BIGFix: Bidirectional Image Generation with Token Fixing
BIGFix: Bidirectional Image Generation with Token Fixing
Victor Besnier
David Hurych
Andrei Bursuc
Eduardo Valle
VGen
12
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
12
0
0
14 Oct 2025
Reinforced sequential Monte Carlo for amortised sampling
Reinforced sequential Monte Carlo for amortised sampling
Sanghyeok Choi
Sarthak Mittal
Victor Elvira
Jinkyoo Park
Nikolay Malkin
0
0
0
13 Oct 2025
FastHMR: Accelerating Human Mesh Recovery via Token and Layer Merging with Diffusion Decoding
FastHMR: Accelerating Human Mesh Recovery via Token and Layer Merging with Diffusion Decoding
Soroush Mehraban
Andrea Iaboni
Babak Taati
0
0
0
13 Oct 2025
DiffStyleTS: Diffusion Model for Style Transfer in Time Series
DiffStyleTS: Diffusion Model for Style Transfer in Time Series
Mayank Nagda
Phil Ostheimer
Justus Arweiler
Indra Jungjohann
Jennifer Werner
...
Michael Bortz
Hans Hasse
Stephan Mandt
Marius Kloft
Sophie Fellenz
DiffMAI4TS
4
0
0
13 Oct 2025
Massive Activations are the Key to Local Detail Synthesis in Diffusion Transformers
Massive Activations are the Key to Local Detail Synthesis in Diffusion Transformers
Chaofan Gan
Zicheng Zhao
Yuanpeng Tu
Xi Chen
Ziran Qin
Tieyuan Chen
Mehrtash Harandi
W. Lin
16
0
0
13 Oct 2025
ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance Generation
ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance Generation
Ruihang Xu
Dewei Zhou
Fan Ma
Yi Yang
DiffM
0
0
0
13 Oct 2025
Discrete State Diffusion Models: A Sample Complexity Perspective
Discrete State Diffusion Models: A Sample Complexity Perspective
Aadithya Srikanth
Mudit Gaur
Vaneet Aggarwal
DiffM
0
0
0
12 Oct 2025
Understanding Sampler Stochasticity in Training Diffusion Models for RLHF
Understanding Sampler Stochasticity in Training Diffusion Models for RLHF
Jiayuan Sheng
Hanyang Zhao
Haoxian Chen
David Yao
Wenpin Tang
0
0
0
12 Oct 2025
MonoSE(3)-Diffusion: A Monocular SE(3) Diffusion Framework for Robust Camera-to-Robot Pose Estimation
MonoSE(3)-Diffusion: A Monocular SE(3) Diffusion Framework for Robust Camera-to-Robot Pose Estimation
Kangjian Zhu
Haobo Jiang
Yigong Zhang
J. Qian
Jian Yang
J. Xie
DiffM
4
0
0
12 Oct 2025
Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes
Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes
Haonan Wang
Hanyu Zhou
Haoyue Liu
Luxin Yan
DiffM
0
0
0
12 Oct 2025
Ctrl-World: A Controllable Generative World Model for Robot Manipulation
Ctrl-World: A Controllable Generative World Model for Robot Manipulation
Yanjiang Guo
Lucy Xiaoyang Shi
Jianyu Chen
Chelsea Finn
VGen
3
0
0
11 Oct 2025
Denoised Diffusion for Object-Focused Image Augmentation
Denoised Diffusion for Object-Focused Image Augmentation
N. Pillai
Aditi Virupakshaiah
Harrison W. Smith
Amanda J. Ashworth
Prasanna Gowda
Phillip R. Owens
Adam R. Rivers
B. Nanduri
Mahalingam Ramkumar
MedIm
0
0
0
10 Oct 2025
Accent-Invariant Automatic Speech Recognition via Saliency-Driven Spectrogram Masking
Accent-Invariant Automatic Speech Recognition via Saliency-Driven Spectrogram MaskingIEEE International Conference on Robotics and Automation (ICRA), 2025
Mohammad Hossein Sameti
Sepehr Harfi Moridani
Ali Zarean
Hossein Sameti
44
5
0
10 Oct 2025
SynthID-Image: Image watermarking at internet scale
SynthID-Image: Image watermarking at internet scale
Sven Gowal
Rudy Bunel
Florian Stimberg
David Stutz
Guillermo Ortiz-Jimenez
...
Simon Rosen
Christopher Savčak
Armin Senoner
Nidhi Vyas
Pushmeet Kohli
WIGM
29
0
0
10 Oct 2025
Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion
Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT PerfusionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
J. Lee
Hyunwoong Kim
Hyungjin Chung
Heeseong Eom
Joon Jang
Chul-Ho Sohn
Kyu Sung Choi
MedIm
0
0
0
10 Oct 2025
MCMC: Bridging Rendering, Optimization and Generative AI
MCMC: Bridging Rendering, Optimization and Generative AI
Gurprit Singh
Wenzel Jakob
BDL
64
0
0
10 Oct 2025
TC-LoRA: Temporally Modulated Conditional LoRA for Adaptive Diffusion Control
TC-LoRA: Temporally Modulated Conditional LoRA for Adaptive Diffusion Control
Minkyoung Cho
Ruben Ohana
Christian Jacobsen
Adityan Jothi
Min-Hung Chen
Z. Morley Mao
Ethem Can
DiffMAI4CE
28
0
0
10 Oct 2025
A Honest Cross-Validation Estimator for Prediction Performance
A Honest Cross-Validation Estimator for Prediction Performance
Tianyu Pan
Vincent Z. Yu
Viswanath Devanarayan
Lu Tian
24
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0
09 Oct 2025
Beyond Real Data: Synthetic Data through the Lens of Regularization
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Amitis Shidani
Tyler Farghly
Yang Sun
Habib Ganjgahi
George Deligiannidis
24
0
0
09 Oct 2025
EB-MBD: Emerging-Barrier Model-Based Diffusion for Safe Trajectory Optimization in Highly Constrained Environments
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Raghav Mishra
Ian R. Manchester
16
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0
09 Oct 2025
InstructX: Towards Unified Visual Editing with MLLM Guidance
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Chong Mou
Qichao Sun
Yanze Wu
Pengze Zhang
Xinghui Li
Fulong Ye
Songtao Zhao
Qian He
MLLM
36
0
0
09 Oct 2025
GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generation
GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generation
Rongchao Xu
Kunlin Cai
Lin Jiang
Dahai Yu
Zhiqing Hong
Yuan Tian
Guang Wang
AI4TS
25
0
0
09 Oct 2025
If Probable, Then Acceptable? Understanding Conditional Acceptability Judgments in Large Language Models
If Probable, Then Acceptable? Understanding Conditional Acceptability Judgments in Large Language Models
Jasmin Orth
Philipp Mondorf
Barbara Plank
ELM
39
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0
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One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting
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Haipeng Liu
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M. Y. Wang
DiffM
56
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InstructUDrag: Joint Text Instructions and Object Dragging for Interactive Image Editing
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Haoran Yu
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DiffM
37
0
0
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Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models
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Eric Hanchen Jiang
Guancheng Wan
Sophia Yin
Mengting Li
Y. Wu
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Xinfeng Li
Yizhou Sun
Wei Wang
Kai-Wei Chang
Y. Wu
20
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0
09 Oct 2025
DarkHash: A Data-Free Backdoor Attack Against Deep Hashing
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Ziqi Zhou
Menghao Deng
Yufei Song
Hangtao Zhang
Wei Wan
Shengshan Hu
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Dezhong Yao
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ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
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Zhiyu Zheng
Shaoyu Chen
Haoran Yin
Xinbang Zhang
Jialv Zou
Xinggang Wang
Qian Zhang
Lefei Zhang
24
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0
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ASBench: Image Anomalies Synthesis Benchmark for Anomaly Detection
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Qunyi Zhang
Songan Zhang
Jinbao Wang
Xiaoning Lei
Guoyang Xie
Guannan Jiang
Zhichao Lu
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RASALoRE: Region Aware Spatial Attention with Location-based Random Embeddings for Weakly Supervised Anomaly Detection in Brain MRI Scans
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FlexTraj: Image-to-Video Generation with Flexible Point Trajectory Control
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Rethinking Reasoning: A Survey on Reasoning-based Backdoors in LLMs
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Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
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Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models
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Guided Star-Shaped Masked Diffusion
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Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
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