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Structured Denoising Diffusion Models in Discrete State-Spaces
v1v2v3 (latest)

Structured Denoising Diffusion Models in Discrete State-Spaces

7 July 2021
Jacob Austin
Daniel D. Johnson
Jonathan Ho
Daniel Tarlow
Rianne van den Berg
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Structured Denoising Diffusion Models in Discrete State-Spaces"

50 / 648 papers shown
Title
Discrete Copula Diffusion
Discrete Copula Diffusion
Hoang Trung-Dung
Oliver Broadrick
Mathias Niepert
Guy Van den Broeck
DiffM
199
15
0
02 Oct 2024
FINE: Factorizing Knowledge for Initialization of Variable-sized
  Diffusion Models
FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models
Yucheng Xie
Fu Feng
Ruixiao Shi
Jing Wang
Xin Geng
AI4CE
70
3
0
28 Sep 2024
Generative Modeling of Molecular Dynamics Trajectories
Generative Modeling of Molecular Dynamics Trajectories
Bowen Jing
Hannes Stärk
Tommi Jaakkola
Bonnie Berger
AI4CE
92
22
0
26 Sep 2024
Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete
  Diffusion Model
Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model
Shoma Iwai
Atsuki Osanai
Shunsuke Kitada
S. Omachi
3DV
48
2
0
25 Sep 2024
BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion
  Generation
BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation
Seyed Rohollah Hosseyni
Ali Ahmad Rahmani
S. J. Seyedmohammadi
Sanaz Seyedin
Arash Mohammadi
DiffM
93
7
0
17 Sep 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
Tianqi Chen
Shujian Zhang
Mingyuan Zhou
DiffM
181
5
0
17 Sep 2024
ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework
ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework
Jiahao Yuan
Zixiang Di
Zhiqing Cui
Guisong Yang
Usman Naseem
193
0
0
16 Sep 2024
Latent Diffusion Models for Controllable RNA Sequence Generation
Latent Diffusion Models for Controllable RNA Sequence Generation
Kaixuan Huang
Yukang Yang
Kaidi Fu
Yanyi Chu
Le Cong
Mengdi Wang
89
2
0
15 Sep 2024
Towards Diverse and Efficient Audio Captioning via Diffusion Models
Towards Diverse and Efficient Audio Captioning via Diffusion Models
Manjie Xu
Chenxing Li
Xinyi Tu
Yong Ren
Ruibo Fu
Wei Liang
Dong Yu
DiffM
91
2
0
14 Sep 2024
Sub-graph Based Diffusion Model for Link Prediction
Sub-graph Based Diffusion Model for Link Prediction
Hang Li
Wei Jin
Geri Skenderi
Harry Shomer
Wenzhuo Tang
Wenqi Fan
Jiliang Tang
DiffM
60
0
0
13 Sep 2024
FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent
  Noising-and-Denoising Process
FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process
Yang Luo
Y. Zhang
Zhaofan Qiu
Ting Yao
Zhineng Chen
Yu-Gang Jiang
Tao Mei
DiffM
79
5
0
11 Sep 2024
Training-Free Guidance for Discrete Diffusion Models for Molecular
  Generation
Training-Free Guidance for Discrete Diffusion Models for Molecular Generation
Thomas J. Kerby
Kevin R. Moon
93
3
0
11 Sep 2024
Table-to-Text Generation with Pretrained Diffusion Models
Table-to-Text Generation with Pretrained Diffusion Models
Aleksei S. Krylov
Oleg D. Somov
58
1
0
10 Sep 2024
Vector Quantized Diffusion Model Based Speech Bandwidth Extension
Vector Quantized Diffusion Model Based Speech Bandwidth Extension
Yuan Fang
Jinglin Bai
Jiajie Wang
Xueliang Zhang
62
1
0
09 Sep 2024
Towards understanding Diffusion Models (on Graphs)
Towards understanding Diffusion Models (on Graphs)
Solveig Klepper
DiffM
89
0
0
31 Aug 2024
I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing
I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing
Yiwei Ma
Jiayi Ji
Ke Ye
Weihuang Lin
Zhibin Wang
Yonghan Zheng
Qiang-feng Zhou
Xiaoshuai Sun
Rongrong Ji
128
11
0
26 Aug 2024
IFH: a Diffusion Framework for Flexible Design of Graph Generative
  Models
IFH: a Diffusion Framework for Flexible Design of Graph Generative Models
Samuel Cognolato
A. Sperduti
Luciano Serafini
DiffM
68
0
0
23 Aug 2024
CatFree3D: Category-agnostic 3D Object Detection with Diffusion
CatFree3D: Category-agnostic 3D Object Detection with Diffusion
Wenjing Bian
Zirui Wang
Andrea Vedaldi
96
1
0
22 Aug 2024
Show-o: One Single Transformer to Unify Multimodal Understanding and
  Generation
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
Jinheng Xie
Weijia Mao
Zechen Bai
David Junhao Zhang
Weihao Wang
Kevin Qinghong Lin
Yuchao Gu
Zhijie Chen
Zhenheng Yang
Mike Zheng Shou
123
228
0
22 Aug 2024
Instruction-Based Molecular Graph Generation with Unified Text-Graph
  Diffusion Model
Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion Model
Yuran Xiang
Haiteng Zhao
Chang Ma
Zhi-Hong Deng
76
1
0
19 Aug 2024
TDNetGen: Empowering Complex Network Resilience Prediction with
  Generative Augmentation of Topology and Dynamics
TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics
Chang Liu
Jingtao Ding
Yiwen Song
Yong Li
AI4CE
50
5
0
19 Aug 2024
RadioDiff: An Effective Generative Diffusion Model for Sampling-Free
  Dynamic Radio Map Construction
RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction
Xiucheng Wang
Keda Tao
Nan Cheng
Zhisheng Yin
Zan Li
Yuan Zhang
Xuemin Shen
90
14
0
16 Aug 2024
Derivative-Free Guidance in Continuous and Discrete Diffusion Models
  with Soft Value-Based Decoding
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding
Xiner Li
Yulai Zhao
Chenyu Wang
Gabriele Scalia
Gökçen Eraslan
Surag Nair
Tommaso Biancalani
Aviv Regev
Sergey Levine
Masatoshi Uehara
108
37
0
15 Aug 2024
Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep Molecular Understanding
Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep Molecular Understanding
Bing Hu
Anita Layton
Helen Chen
MedIm
72
2
0
14 Aug 2024
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
Jacob K Christopher
Brian Bartoldson
Tal Ben-Nun
Michael Cardei
B. Kailkhura
Ferdinando Fioretto
DiffM
152
8
0
10 Aug 2024
Random Walk Diffusion for Efficient Large-Scale Graph Generation
Random Walk Diffusion for Efficient Large-Scale Graph Generation
Tobias Bernecker
Ghalia Rehawi
Francesco Paolo Casale
Janine Knauer-Arloth
Annalisa Marsico
80
1
0
08 Aug 2024
D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion
  Methods
D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods
Onkar Susladkar
Gayatri Deshmukh
Sparsh Mittal
Parth Shastri
DiffM
91
3
0
07 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive
  Survey
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey
V. T. Truong
Luan Ba Dang
Long Bao Le
DiffMMedIm
112
19
0
06 Aug 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion
  Models
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models
Gen Li
Yuting Wei
Yuejie Chi
Yuxin Chen
DiffM
115
27
0
05 Aug 2024
Actra: Optimized Transformer Architecture for Vision-Language-Action
  Models in Robot Learning
Actra: Optimized Transformer Architecture for Vision-Language-Action Models in Robot Learning
Yueen Ma
Dafeng Chi
Shiguang Wu
Yuecheng Liu
Yuzheng Zhuang
Jianye Hao
Irwin King
58
5
0
02 Aug 2024
Informed Correctors for Discrete Diffusion Models
Informed Correctors for Discrete Diffusion Models
Yixiu Zhao
Jiaxin Shi
F. Chen
Shaul Druckmann
Lester W. Mackey
Scott W. Linderman
130
15
0
30 Jul 2024
Diffusion Models for Multi-Task Generative Modeling
Diffusion Models for Multi-Task Generative Modeling
Changyou Chen
Han Ding
Bunyamin Sisman
Yi Tian Xu
Ouye Xie
Benjamin Z. Yao
Son Dinh Tran
Belinda Zeng
DiffM
86
5
0
24 Jul 2024
Promises and Pitfalls of Generative Masked Language Modeling:
  Theoretical Framework and Practical Guidelines
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
Yuchen Li
Alexandre Kirchmeyer
Aashay Mehta
Yilong Qin
Boris Dadachev
Kishore Papineni
Sanjiv Kumar
Andrej Risteski
120
2
0
22 Jul 2024
Discrete Flow Matching
Discrete Flow Matching
Itai Gat
Tal Remez
Neta Shaul
Felix Kreuk
Ricky T. Q. Chen
Gabriel Synnaeve
Yossi Adi
Y. Lipman
DiffM
138
85
0
22 Jul 2024
Diff4VS: HIV-inhibiting Molecules Generation with Classifier Guidance
  Diffusion for Virtual Screening
Diff4VS: HIV-inhibiting Molecules Generation with Classifier Guidance Diffusion for Virtual Screening
Jiaqing Lyu
Changjie Chen
Bing Liang
Yijia Zhang
47
1
0
20 Jul 2024
M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models
M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models
Seung-geun Chi
Hyung-Gun Chi
Hengbo Ma
Nakul Agarwal
Faizan Siddiqui
Karthik Ramani
Kwonjoon Lee
DiffM
120
13
0
19 Jul 2024
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion
  Models: A Tutorial and Review
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
Masatoshi Uehara
Yulai Zhao
Tommaso Biancalani
Sergey Levine
144
32
0
18 Jul 2024
Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation
Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation
Olga Zatsarynna
Emad Bahrami
Yazan Abu Farha
Gianpiero Francesca
Juergen Gall
130
2
0
16 Jul 2024
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
Lei Ren
Haiteng Wang
Yang Tang
Yang Tang
Chunhua Yang
AI4TSAI4CE
139
5
0
16 Jul 2024
Discrete generative diffusion models without stochastic differential
  equations: a tensor network approach
Discrete generative diffusion models without stochastic differential equations: a tensor network approach
Luke Causer
Grant M. Rotskoff
J. P. Garrahan
DiffM
95
2
0
15 Jul 2024
Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation
Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation
Peng Jin
Hao Li
Ze-Long Cheng
Kehan Li
Runyi Yu
Chang-Shu Liu
Xiangyang Ji
Li-ming Yuan
Jie Chen
DiffM
76
6
0
15 Jul 2024
InstructLayout: Instruction-Driven 2D and 3D Layout Synthesis with
  Semantic Graph Prior
InstructLayout: Instruction-Driven 2D and 3D Layout Synthesis with Semantic Graph Prior
Chenguo Lin
Yuchen Lin
Panwang Pan
Xuanyang Zhang
Yadong Mu
3DV
98
2
0
10 Jul 2024
Secondary Structure-Guided Novel Protein Sequence Generation with Latent
  Graph Diffusion
Secondary Structure-Guided Novel Protein Sequence Generation with Latent Graph Diffusion
Yutong Hu
Y. Tan
Andi Han
Lirong Zheng
Liang Hong
Bingxin Zhou
DiffM
83
2
0
10 Jul 2024
3D Vessel Graph Generation Using Denoising Diffusion
3D Vessel Graph Generation Using Denoising Diffusion
Chinmay Prabhakar
Suprosanna Shit
Fabio Musio
Kaiyuan Yang
Tamaz Amiranashvili
Johannes C. Paetzold
Hongwei Bran Li
Bjoern Menze
DiffMMedIm
76
4
0
08 Jul 2024
Unmasking Trees for Tabular Data
Unmasking Trees for Tabular Data
Calvin McCarter
90
3
0
08 Jul 2024
HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation
HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation
Tao Chen
Chenhui Wang
Zhihao Chen
Yiming Lei
Hongming Shan
MedIm
93
14
0
03 Jul 2024
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
Yilun Xu
Gabriele Corso
Tommi Jaakkola
Arash Vahdat
Karsten Kreis
104
14
0
03 Jul 2024
A Comprehensive Survey on Diffusion Models and Their Applications
A Comprehensive Survey on Diffusion Models and Their Applications
M. Ahsan
S. Raman
Yingtao Liu
Zahed Siddique
MedImDiffM
136
2
0
01 Jul 2024
Aligning Target-Aware Molecule Diffusion Models with Exact Energy
  Optimization
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
Siyi Gu
Minkai Xu
Alexander Powers
Weili Nie
Tomas Geffner
Karsten Kreis
J. Leskovec
Arash Vahdat
Stefano Ermon
92
11
0
01 Jul 2024
Diffusion Models and Representation Learning: A Survey
Diffusion Models and Representation Learning: A Survey
Michael Fuest
Pingchuan Ma
Ming Gui
Johannes S. Fischer
Vincent Tao Hu
Bjorn Ommer
DiffM
98
24
0
30 Jun 2024
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