ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.09672
  4. Cited By
Improved Denoising Diffusion Probabilistic Models

Improved Denoising Diffusion Probabilistic Models

International Conference on Machine Learning (ICML), 2021
18 February 2021
Alex Nichol
Prafulla Dhariwal
    DiffM
ArXiv (abs)PDFHTMLHuggingFace (2 upvotes)Github (3560★)

Papers citing "Improved Denoising Diffusion Probabilistic Models"

50 / 2,801 papers shown
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
104
0
0
14 Oct 2025
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
152
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
160
0
0
14 Oct 2025
Diffusion Transformers with Representation Autoencoders
Diffusion Transformers with Representation Autoencoders
Boyang Zheng
Nanye Ma
Shengbang Tong
Saining Xie
DiffM
198
41
0
13 Oct 2025
LikePhys: Evaluating Intuitive Physics Understanding in Video Diffusion Models via Likelihood Preference
LikePhys: Evaluating Intuitive Physics Understanding in Video Diffusion Models via Likelihood Preference
Jianhao Yuan
Fabio Pizzati
Francesco Pinto
Lars Kunze
Ivan Laptev
Paul Newman
Philip Torr
D. Martini
DiffMVGen
163
2
0
13 Oct 2025
Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization
Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization
Zihao Zhao
Christopher Yeh
Lingkai Kong
Kai Wang
100
0
0
13 Oct 2025
Offline Reinforcement Learning with Generative Trajectory Policies
Offline Reinforcement Learning with Generative Trajectory Policies
Xinsong Feng
Leshu Tang
Chenan Wang
Haipeng Chen
OffRL
130
0
0
13 Oct 2025
Latent Retrieval Augmented Generation of Cross-Domain Protein Binders
Latent Retrieval Augmented Generation of Cross-Domain Protein Binders
Zishen Zhang
Xiangzhe Kong
Wenbing Huang
Yang Liu
DiffM
187
0
0
12 Oct 2025
ProGress: Structured Music Generation via Graph Diffusion and Hierarchical Music Analysis
ProGress: Structured Music Generation via Graph Diffusion and Hierarchical Music Analysis
Stephen Ni-Hahn
Chao Péter Yang
Mingchen Ma
Cynthia Rudin
Simon Mak
Yue Jiang
DiffM
146
0
0
11 Oct 2025
Failure Prediction at Runtime for Generative Robot Policies
Failure Prediction at Runtime for Generative Robot Policies
Ralf Romer
Adrian Kobras
Luca Worbis
Angela P. Schoellig
AI4CE
178
2
0
10 Oct 2025
Provably Robust Adaptation for Language-Empowered Foundation Models
Provably Robust Adaptation for Language-Empowered Foundation Models
Y. Lai
Xiaoyu Xue
Linghui Shen
Yulun Wu
Gaolei Li
Song Guo
Kai Zhou
Bin Xiao
AAML
161
1
0
09 Oct 2025
Rethinking Reasoning: A Survey on Reasoning-based Backdoors in LLMs
Rethinking Reasoning: A Survey on Reasoning-based Backdoors in LLMs
Man Hu
Xinyi Wu
Zuofeng Suo
Jinbo Feng
Linghui Meng
Yanhao Jia
Anh Tuan Luu
Shuai Zhao
AAMLLRM
148
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
259
0
0
09 Oct 2025
From Noisy to Native: LLM-driven Graph Restoration for Test-Time Graph Domain Adaptation
From Noisy to Native: LLM-driven Graph Restoration for Test-Time Graph Domain Adaptation
Xiangwei Lv
JinLuan Yang
Wang Lin
Jingyuan Chen
Beishui Liao
94
0
0
09 Oct 2025
Revisiting Mixout: An Overlooked Path to Robust Finetuning
Revisiting Mixout: An Overlooked Path to Robust Finetuning
Masih Aminbeidokhti
H. R. Medeiros
Eric Granger
M. Pedersoli
UQCV
235
0
0
08 Oct 2025
Riddled basin geometry sets fundamental limits to predictability and reproducibility in deep learning
Riddled basin geometry sets fundamental limits to predictability and reproducibility in deep learning
Andrew Ly
Pulin Gong
AI4CE
184
0
0
07 Oct 2025
Edit-Based Flow Matching for Temporal Point Processes
Edit-Based Flow Matching for Temporal Point Processes
David Lüdke
Marten Lienen
Marcel Kollovieh
Stephan Günnemann
DiffM
164
1
0
07 Oct 2025
Data Factory with Minimal Human Effort Using VLMs
Data Factory with Minimal Human Effort Using VLMs
Jiaojiao Ye
Jiaxing Zhong
Qian Xie
Yuzhou Zhou
Niki Trigoni
Andrew Markham
DiffMVLM
180
0
0
07 Oct 2025
Text2Interact: High-Fidelity and Diverse Text-to-Two-Person Interaction Generation
Text2Interact: High-Fidelity and Diverse Text-to-Two-Person Interaction Generation
Qingxuan Wu
Zhiyang Dou
Chuan Guo
Yiming Huang
Qiao Feng
Bing Zhou
Jian Wang
Lingjie Liu
VGen
144
2
0
07 Oct 2025
$\bf{D^3}$QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection
D3\bf{D^3}D3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection
Yanran Zhang
Bingyao Yu
Yu Zheng
Wenzhao Zheng
Yueqi Duan
Lei Chen
Jie Zhou
Jiwen Lu
MQ
185
1
0
07 Oct 2025
Graph-Aware Diffusion for Signal Generation
Graph-Aware Diffusion for Signal Generation
Sergio Rozada
Vimal K. B.
Andrea Cavallo
A. Marques
Hadi Jamali-Rad
Elvin Isufi
DiffM
118
0
0
06 Oct 2025
SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization
SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization
Théophane Vallaeys
Jakob Verbeek
Matthieu Cord
DiffM
227
3
0
06 Oct 2025
RegMix: Adversarial Mutual and Generalization Regularization for Enhancing DNN Robustness
Zhenyu Liu
Varun Ojha
AAML
260
0
0
06 Oct 2025
Improved probabilistic regression using diffusion models
Improved probabilistic regression using diffusion models
Carlo Kneissl
Christopher Bülte
Philipp Scholl
Gitta Kutyniok
DiffM
187
0
0
06 Oct 2025
Drax: Speech Recognition with Discrete Flow Matching
Drax: Speech Recognition with Discrete Flow Matching
Aviv Navon
Aviv Shamsian
Neta Glazer
Yael Segal-Feldman
Gill Hetz
Joseph Keshet
Ethan Fetaya
127
0
0
05 Oct 2025
Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPs
Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2025
Seong Jin Ahn
Myoung-Ho Kim
293
0
0
05 Oct 2025
Variational Diffusion Unlearning: A Variational Inference Framework for Unlearning in Diffusion Models under Data Constraints
Variational Diffusion Unlearning: A Variational Inference Framework for Unlearning in Diffusion Models under Data Constraints
Subhodip Panda
MS Varun
Shreyans Jain
Sarthak Kumar Maharana
Prathosh A.P.
DiffM
266
0
0
05 Oct 2025
Neon: Negative Extrapolation From Self-Training Improves Image Generation
Neon: Negative Extrapolation From Self-Training Improves Image Generation
Sina Alemohammad
Zinan Lin
Richard G. Baraniuk
SyDa
302
1
0
04 Oct 2025
DMark: Order-Agnostic Watermarking for Diffusion Large Language Models
DMark: Order-Agnostic Watermarking for Diffusion Large Language Models
Linyu Wu
Linhao Zhong
Wenjie Qu
Y. Li
Yue Liu
Shengfang Zhai
Chunhua Shen
Jiaheng Zhang
200
0
0
03 Oct 2025
Multi-task Neural Diffusion Processes
Multi-task Neural Diffusion Processes
Joseph Rawson
Domniki Ladopoulou
Petros Dellaportas
DiffM
127
0
0
03 Oct 2025
What Drives Compositional Generalization in Visual Generative Models?
What Drives Compositional Generalization in Visual Generative Models?
Karim Farid
Rajat Sahay
Yumna Ali Alnaggar
Simon Schrodi
Volker Fischer
Cordelia Schmid
Thomas Brox
CoGe
321
0
0
03 Oct 2025
Optimal Control Meets Flow Matching: A Principled Route to Multi-Subject Fidelity
Optimal Control Meets Flow Matching: A Principled Route to Multi-Subject Fidelity
Eric Tillmann Bill
Enis Simsar
Thomas Hofmann
DiffM
349
0
0
02 Oct 2025
Adaptive Guided Upsampling for Low-light Image Enhancement
Angela Vivian Dcosta
Chunbo Song
Rafael Radkowski
125
0
0
02 Oct 2025
Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models
Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models
Runqian Wang
Yilun Du
DiffM
891
3
0
02 Oct 2025
Fine-Tuning Flow Matching via Maximum Likelihood Estimation of Reconstructions
Fine-Tuning Flow Matching via Maximum Likelihood Estimation of Reconstructions
Zhaoyi Li
Jingtao Ding
Yong Li
Shihua Li
200
0
0
02 Oct 2025
Audio Driven Real-Time Facial Animation for Social Telepresence
Audio Driven Real-Time Facial Animation for Social Telepresence
Jiye Lee
Chenghui Li
Linh Tran
S. Wei
Jason M. Saragih
Alexander Richard
Hanbyul Joo
Shaojie Bai
VGen
152
0
0
01 Oct 2025
Align Your Tangent: Training Better Consistency Models via Manifold-Aligned Tangents
Align Your Tangent: Training Better Consistency Models via Manifold-Aligned Tangents
Beomsu Kim
Byunghee Cha
Jong Chul Ye
132
0
0
01 Oct 2025
Constrained Diffusion for Protein Design with Hard Structural Constraints
Constrained Diffusion for Protein Design with Hard Structural ConstraintsbioRxiv (bioRxiv), 2025
Jacob K Christopher
Austin Seamann
Jingyi Cui
Sagar Khare
Ferdinando Fioretto
100
0
0
01 Oct 2025
GRITS: A Spillage-Aware Guided Diffusion Policy for Robot Food Scooping Tasks
GRITS: A Spillage-Aware Guided Diffusion Policy for Robot Food Scooping Tasks
Yen-Ling Tai
Yi-Ru Yang
Kuan-Ting Yu
Yu-Wei Chao
Yi-Ting Chen
114
0
0
01 Oct 2025
DiffKnock: Diffusion-based Knockoff Statistics for Neural Networks Inference
DiffKnock: Diffusion-based Knockoff Statistics for Neural Networks Inference
Heng Ge
Qing Lu
105
0
0
01 Oct 2025
EVODiff: Entropy-aware Variance Optimized Diffusion Inference
EVODiff: Entropy-aware Variance Optimized Diffusion Inference
Shigui Li
Wei Chen
Delu Zeng
DiffM
159
2
0
30 Sep 2025
Query-Kontext: An Unified Multimodal Model for Image Generation and Editing
Query-Kontext: An Unified Multimodal Model for Image Generation and Editing
Yuxin Song
Wenkai Dong
Shizun Wang
Qi Zhang
Song Xue
...
H. Yang
Haocheng Feng
Hang Zhou
Xinyan Xiao
Jingdong Wang
DiffMMLLM
153
5
0
30 Sep 2025
Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies
Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies
Jing Wang
Weiting Peng
Jing Tang
Zeyu Gong
Xihua Wang
B. Tao
Li Cheng
278
0
0
30 Sep 2025
3DiFACE: Synthesizing and Editing Holistic 3D Facial Animation
3DiFACE: Synthesizing and Editing Holistic 3D Facial AnimationInternational Conference on 3D Vision (3DV), 2025
Balamurugan Thambiraja
Malte Prinzler
S. Aliakbarian
Darren Cosker
Justus Thies
DiffMVGen
156
1
0
30 Sep 2025
RapidMV: Leveraging Spatio-Angular Representations for Efficient and Consistent Text-to-Multi-View Synthesis
RapidMV: Leveraging Spatio-Angular Representations for Efficient and Consistent Text-to-Multi-View Synthesis
Seungwook Kim
Yichun Shi
Kejie Li
Minsu Cho
Peng Wang
142
0
0
29 Sep 2025
Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility
Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility
Yutong Hao
Chen Chen
Ajmal Saeed Mian
Chang Xu
Daochang Liu
DiffMVGen
141
3
0
29 Sep 2025
Watermarking Diffusion Language Models
Watermarking Diffusion Language Models
Thibaud Gloaguen
Robin Staab
Nikola Jovanović
Martin Vechev
137
1
0
29 Sep 2025
Score-based Membership Inference on Diffusion Models
Score-based Membership Inference on Diffusion Models
Mingxing Rao
Bowen Qu
Daniel Moyer
DiffM
127
1
0
29 Sep 2025
Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models
Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models
Shuchen Xue
Chongjian Ge
Shilong Zhang
Yichen Li
Zhi-Ming Ma
139
3
0
29 Sep 2025
BRIDGE -- Building Reinforcement-Learning Depth-to-Image Data Generation Engine for Monocular Depth Estimation
BRIDGE -- Building Reinforcement-Learning Depth-to-Image Data Generation Engine for Monocular Depth Estimation
Dingning Liu
Haoyu Guo
Jingyi Zhou
Tong He
OffRLMDE
314
0
0
29 Sep 2025
Previous
123456...555657
Next