Diffusion Models

ICLR 2024arXiv:2302.07121

#2

SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Nanye Ma, Mark Goldstein, Michael Albergo et al.

Universal Guidance for Diffusion Models

Arpit Bansal, Hong-Min Chu, Avi Schwarzschild et al.

380

ICLR 2024arXiv:2303.01418

#4

Human Motion Diffusion as a Generative Prior

Yonatan Shafir, Guy Tevet, Roy Kapon et al.

328

ICLR 2024arXiv:2310.02279

#5

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

Dongjun Kim, Chieh-Hsin Lai, WeiHsiang Liao et al.

322

CVPR 2024arXiv:2311.16498

#6

MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model

Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew et al.

318

CVPR 2024arXiv:2306.14435

#7

DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing

Yujun Shi, Chuhui Xue, Jun Hao Liew et al.

308

ICLR 2024arXiv:2309.17400

#8

Directly Fine-Tuning Diffusion Models on Differentiable Rewards

Kevin Clark, Paul Vicol, Kevin Swersky et al.

303

CVPR 2024arXiv:2312.00858

#9

DeepCache: Accelerating Diffusion Models for Free

Xinyin Ma, Gongfan Fang, Xinchao Wang

265

ECCV 2024arXiv:2312.06662

#10

Photorealistic Video Generation with Diffusion Models

Agrim Gupta, Lijun Yu, Kihyuk Sohn et al.

diffusion modelsvideo generationtransformer architecturelatent space compression+3

264

CVPR 2024arXiv:2310.08529

#11

GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Taoran Yi, Jiemin Fang, Junjie Wang et al.

241

ECCV 2024arXiv:2308.14469

#12

Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization

Tao Yang, Rongyuan Wu, Peiran Ren et al.

realistic image super-resolutionimage stylizationdiffusion modelspixel-aware cross attention+4

234

ICLR 2024arXiv:2311.09217

#13

DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model

Yinghao Xu, Hao Tan, Fujun Luan et al.

227

ICLR 2024arXiv:2310.20700

#14

SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction

Xinyuan Chen, Yaohui Wang, Lingjun Zhang et al.

209

ICLR 2024arXiv:2305.04391

#15

A Variational Perspective on Solving Inverse Problems with Diffusion Models

Morteza Mardani, Jiaming Song, Jan Kautz et al.

207

ICLR 2024arXiv:2310.09656

#16

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space

Hengrui Zhang, Jiani Zhang, Zhengyuan Shen et al.

186

CVPR 2024arXiv:2311.17984

#17

4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling

Sherwin Bahmani, Ivan Skorokhodov, Victor Rong et al.

168

CVPR 2024arXiv:2311.17516

#18

Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Jingfeng Yao, Bin Yang, Xinggang Wang

Diffusion Models Are Real-Time Game Engines

Dani Valevski, Yaniv Leviathan, Moab Arar et al.

MMA-Diffusion: MultiModal Attack on Diffusion Models

Yijun Yang, Ruiyuan Gao, Xiaosen Wang et al.

141

AAAI 2024arXiv:2303.08714

#21

ResDiff: Combining CNN and Diffusion Model for Image Super-resolution

Shuyao Shang, Zhengyang Shan, Guangxing Liu et al.

image super-resolutiondiffusion probabilistic modelresidual learningfrequency-domain loss+3

139

ICLR 2024arXiv:2310.07702

#22

Scaling Diffusion Language Models via Adaptation from Autoregressive Models

Shansan Gong, Shivam Agarwal, Yizhe Zhang et al.

Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

Jing He, Haodong Li, Wei Yin et al.

From Slow Bidirectional to Fast Autoregressive Video Diffusion Models

Tianwei Yin, Qiang Zhang, Richard Zhang et al.

ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models

Yingqing He, Shaoshu Yang, Haoxin Chen et al.

110

CVPR 2024arXiv:2402.17723

#26

Seeing and Hearing: Open-domain Visual-Audio Generation with Diffusion Latent Aligners

Yazhou Xing, Yingqing He, Zeyue Tian et al.

109

CVPR 2024arXiv:2308.09710

#27

SimDA: Simple Diffusion Adapter for Efficient Video Generation

Zhen Xing, Qi Dai, Han Hu et al.

106

ICML 2025arXiv:2501.06848

#28

Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling

Kaiwen Zheng, Yongxin Chen, Hanzi Mao et al.

A General Framework for Inference-time Scaling and Steering of Diffusion Models

Raghav Singhal, Zachary Horvitz, Ryan Teehan et al.

103

ICLR 2025arXiv:2410.10792

#30

DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation

Yiqun Duan, Xianda Guo, Zheng Zhu

Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations

Litu Rout, Yujia Chen, Nataniel Ruiz et al.

97

CVPR 2024arXiv:2311.16090

#32

Self-correcting LLM-controlled Diffusion Models

Tsung-Han Wu, Long Lian, Joseph Gonzalez et al.

95

ICLR 2024arXiv:2310.17590

#33

Noise-free Score Distillation

Oren Katzir, Or Patashnik, Daniel Cohen-Or et al.

93

ICLR 2024arXiv:2311.01017

#34

Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion

Lunjun Zhang, Yuwen Xiong, Ze Yang et al.

92

ICLR 2024arXiv:2307.01198

#35

STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians

Yifei Zeng, Yanqin Jiang, Siyu Zhu et al.

Deconstructing Denoising Diffusion Models for Self-Supervised Learning

Xinlei Chen, Zhuang Liu, Saining Xie et al.

Improved sampling via learned diffusions

Lorenz Richter, Julius Berner

88

CVPR 2024arXiv:2405.14881

#38

DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models

Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood et al.

85

ICLR 2024arXiv:2407.21720

#39

Detecting, Explaining, and Mitigating Memorization in Diffusion Models

Yuxin Wen, Yuchen Liu, Chen Chen et al.

83

CVPR 2024arXiv:2404.04650

#40

Unlocking Guidance for Discrete State-Space Diffusion and Flow Models

Hunter Nisonoff, Junhao Xiong, Stephan Allenspach et al.

InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization

Xiefan Guo, Jinlin Liu, Miaomiao Cui et al.

81

AAAI 2024arXiv:2401.02032

#42

DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection

Yunfan Ye, Yuhang Huang, Renjiao Yi et al.

diffusion probabilistic modeledge detectionlatent space denoisingcrisp edge prediction+4

79

ICLR 2024arXiv:2306.12422

#43

DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation

Yukun Huang, Jianan Wang, Yukai Shi et al.

78

ICCV 2025arXiv:2503.14489

#44

Stable Virtual Camera: Generative View Synthesis with Diffusion Models

Jensen Zhou, Hang Gao, Vikram Voleti et al.

view synthesisdiffusion modelsnovel view generationcamera pose conditioning+4

78

ICLR 2024arXiv:2309.17444

#45

LLM-grounded Video Diffusion Models

Long Lian, Baifeng Shi, Adam Yala et al.

76

ECCV 2024arXiv:2403.12019

#46

LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation

Yushi Lan, Fangzhou Hong, Shuai Yang et al.

75

ECCV 2024arXiv:2405.05967

#47

Distilling Diffusion Models into Conditional GANs

Minguk Kang, Richard Zhang, Connelly Barnes et al.

diffusion model distillationconditional ganssingle-step generationpaired image translation+4

75

AAAI 2024arXiv:2312.12142

#48

FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning

Zhenhua Yang, Dezhi Peng, Yuxin Kong et al.

font generationdenoising diffusion modelsmulti-scale content aggregationstyle contrastive learning+4

74

ICLR 2025arXiv:2410.14157

#49

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning

Jiacheng Ye, Jiahui Gao, Shansan Gong et al.

74

ICLR 2024arXiv:2308.15321

#50

Elucidating the Exposure Bias in Diffusion Models

Mang Ning, Mingxiao Li, Jianlin Su et al.

72

ICLR 2024arXiv:2310.03270

#51

EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models

YEFEI HE, Jing Liu, Weijia Wu et al.

69

AAAI 2024arXiv:2401.02913

#52

Plug-In Diffusion Model for Sequential Recommendation

Haokai Ma, Ruobing Xie, Lei Meng et al.

diffusion modelssequential recommendationuser preference modelingdata sparsity+4

69

ECCV 2024arXiv:2401.12244

#53

Large-scale Reinforcement Learning for Diffusion Models

Yinan Zhang, Eric Tzeng, Yilun Du et al.

69

CVPR 2024arXiv:2312.11994

#54

Optimizing Diffusion Noise Can Serve As Universal Motion Priors

Korrawe Karunratanakul, Konpat Preechakul, Emre Aksan et al.

68

CVPR 2024arXiv:2312.07409

#55

DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing

Kaiwen Zhang, Yifan Zhou, Xudong XU et al.

66

ICLR 2024arXiv:2302.02257

#56

Multi-Source Diffusion Models for Simultaneous Music Generation and Separation

Giorgio Mariani, Irene Tallini, Emilian Postolache et al.

65

AAAI 2024arXiv:2308.09905

#57

DiffusionTrack: Diffusion Model for Multi-Object Tracking

Run Luo, Zikai Song, Lintao Ma et al.

multi-object trackingdenoising diffusion processtracking-by-detectionjoint detection and tracking+3

65

CVPR 2024arXiv:2404.01203

#58

Video Interpolation with Diffusion Models

Siddhant Jain, Daniel Watson, Aleksander Holynski et al.

63

ICLR 2025arXiv:2412.10193

#59

Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems.

Gabriel Cardoso, Yazid Janati el idrissi, Sylvain Le Corff et al.

Simple Guidance Mechanisms for Discrete Diffusion Models

Yair Schiff, Subham Sahoo, Hao Phung et al.

discrete diffusion modelsclassifier-free guidanceuniform noise diffusioncontrollable generation+4

61

ICLR 2024arXiv:2311.12832

#61

Toward effective protection against diffusion-based mimicry through score distillation

Haotian Xue, Chumeng Liang, Xiaoyu Wu et al.

60

CVPR 2024arXiv:2311.14960

#62

Point Cloud Pre-training with Diffusion Models

xiao zheng, Xiaoshui Huang, Guofeng Mei et al.

59

CVPR 2024arXiv:2312.16519

#63

DIFIX3D+: Improving 3D Reconstructions with Single-Step Diffusion Models

Jay Zhangjie Wu, Yuxuan Zhang, Haithem Turki et al.

Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance

Tomer Garber, Tom Tirer

54

ICLR 2025arXiv:2403.14404

#65

VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models

Junlin Han, Filippos Kokkinos, Philip Torr

Physics-Informed Diffusion Models

Jan-Hendrik Bastek, WaiChing Sun, Dennis Kochmann

diffusion modelsphysics-informed learningpartial differential equationsgenerative modeling+4

50

ICLR 2025arXiv:2410.21357

#67

NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer

Meng YOU, Zhiyu Zhu, Hui LIU et al.

UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation

Zexiang Liu, Yangguang Li, Youtian Lin et al.

Energy-Based Diffusion Language Models for Text Generation

Minkai Xu, Tomas Geffner, Karsten Kreis et al.

48

CVPR 2024arXiv:2407.06187

#70

JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation

Yu Zeng, Vishal M. Patel, Haochen Wang et al.

47

CVPR 2024arXiv:2308.11408

#71

MatFuse: Controllable Material Generation with Diffusion Models

Giuseppe Vecchio, Renato Sortino, Simone Palazzo et al.

47

ECCV 2024arXiv:2312.04884

#72

UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models

Yiming Zhao, Zhouhui Lian

47

ICLR 2025arXiv:2410.07303

#73

Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow

Fu-Yun Wang, Ling Yang, Zhaoyang Huang et al.

diffusion modelsrectified flowflow-matchinggenerative odes+4

46

CVPR 2024arXiv:2312.02702

#74

Neural Sign Actors: A Diffusion Model for 3D Sign Language Production from Text

Vasileios Baltatzis, Rolandos Alexandros Potamias, Evangelos Ververas et al.

43

ECCV 2024arXiv:2312.14134

#75

Diffusion Reward: Learning Rewards via Conditional Video Diffusion

Tao Huang, Guangqi Jiang, Yanjie Ze et al.

43

CVPR 2024arXiv:2311.18832

#76

Exploiting Diffusion Prior for Generalizable Dense Prediction

Hsin-Ying Lee, Hung-Yu Tseng, Hsin-Ying Lee et al.

42

ICLR 2025arXiv:2410.13643

#77

Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design

Chenyu Wang, Masatoshi Uehara, Yichun He et al.

40

CVPR 2024arXiv:2403.13304

#78

DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception

Yibo Wang, Ruiyuan Gao, Kai Chen et al.

39

AAAI 2024arXiv:2305.10135

#79

Controllable Mind Visual Diffusion Model

Bohan Zeng, Shanglin Li, Xuhui Liu et al.

brain signal visualizationfmri data analysisdiffusion modelsimage reconstruction+4

39

CVPR 2024arXiv:2312.05390

#80

NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models

Yusuf Dalva, Pinar Yanardag

39

AAAI 2025arXiv:2406.02347

#81

Test-time Alignment of Diffusion Models without Reward Over-optimization

Sunwoo Kim, Minkyu Kim, Dongmin Park

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation

Chenguo Lin, Panwang Pan, Bangbang Yang et al.

Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation

Clément Chadebec, Onur Tasar, Eyal Benaroche et al.

38

AAAI 2024arXiv:2402.13040

#84

Text-Guided Molecule Generation with Diffusion Language Model

Haisong Gong, Qiang Liu, Shu Wu et al.

text-guided molecule generationdiffusion language modelsmiles-based generationtwo-phase diffusion+1

38

ECCV 2024arXiv:2405.17873

#85

TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution

linwei dong, Qingnan Fan, Yihong Guo et al.

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

Zhao Tianchen, Xuefei Ning, Tongcheng Fang et al.

ICML 2025arXiv:2502.03930

#87

DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation

Dongya Jia, Zhuo Chen, Jiawei Chen et al.

AAAI 2024arXiv:2303.08333

#88

DiffBEV: Conditional Diffusion Model for Bird’s Eye View Perception

Jiayu Zou, Kun Tian, Zheng Zhu et al.

bird's eye view perceptiondiffusion modelsautonomous drivingbev semantic segmentation+4

CVPR 2024arXiv:2403.09623

#89

Score-Guided Diffusion for 3D Human Recovery

Anastasis Stathopoulos, Ligong Han, Dimitris N. Metaxas

CVPR 2024arXiv:2404.05384

#90

Sequential Controlled Langevin Diffusions

Junhua Chen, Lorenz Richter, Julius Berner et al.

Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance

Dazhong Shen, Guanglu Song, Zeyue Xue et al.

35

ICML 2025arXiv:2503.02819

#92

Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts

Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian et al.

AAAI 2024arXiv:2312.11285

#93

Think while You Generate: Discrete Diffusion with Planned Denoising

Sulin Liu, Juno Nam, Andrew Campbell et al.

Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model

Decheng Liu, Xijun Wang, Chunlei Peng et al.

adversarial attacksface recognition modelslatent diffusion modelidentity-sensitive conditioning+4

ECCV 2024arXiv:2311.16567

#95

MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices

Yang Zhao, Zhisheng Xiao, Yanwu Xu et al.

text-to-image generationdiffusion modelsmobile device deploymentmodel architecture optimization+4

ECCV 2024arXiv:2311.12085

#96

Pyramid Diffusion for Fine 3D Large Scene Generation

Yuheng Liu, Xinke Li, Xueting Li et al.

diffusion models3d scene generationlarge-scale 3d scenesoutdoor scene synthesis+4

ICLR 2025arXiv:2410.03456

#97

One Diffusion to Generate Them All

Duong H. Le, Tuan Pham, Sangho Lee et al.

Accelerating Diffusion LLMs via Adaptive Parallel Decoding

Daniel Israel, Guy Van den Broeck, Aditya Grover

Dynamic Diffusion Transformer

Wangbo Zhao, Yizeng Han, Jiasheng Tang et al.

diffusion modelsimage generationtransformer architecturedynamic computation+3

33

ICML 2025arXiv:2506.10892

#100

The Diffusion Duality

Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan et al.

33