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Diffusion Models Beat GANs on Image Synthesis

11 May 2021

Papers citing "Diffusion Models Beat GANs on Image Synthesis"

50 / 5,134 papers shown

Title
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance Chen Henry Wu Fernando de la Torre DiffM 112 69 0 11 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 109 114 0 11 Oct 2022
Markup-to-Image Diffusion Models with Scheduled Sampling Yuntian Deng Noriyuki Kojima Alexander M. Rush DiffM 86 4 0 11 Oct 2022
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation Jiatao Gu Shuangfei Zhai Yizhe Zhang Miguel Angel Bautista J. Susskind DiffM 103 27 0 10 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 126 39 0 10 Oct 2022
CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning Shi-You Xu VLM DiffM 90 14 0 10 Oct 2022
HORIZON: High-Resolution Semantically Controlled Panorama Synthesis Kun Yan Lei Ji Chenfei Wu Jian Liang Ming Zhou Nan Duan Shuai Ma 71 0 0 10 Oct 2022
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation Chieh-Hsin Lai Yuhta Takida Naoki Murata Toshimitsu Uesaka Yuki Mitsufuji Stefano Ermon DiffM 92 32 0 09 Oct 2022
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Face Manipulation Chenliang Zhou Fangcheng Zhong Cengiz Öztireli CLIP 145 20 0 08 Oct 2022
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules Kazuki Irie Jürgen Schmidhuber 87 5 0 07 Oct 2022
Efficient Diffusion Models for Vision: A Survey Anwaar Ulhaq Naveed Akhtar MedIm 155 68 0 07 Oct 2022
On Distillation of Guided Diffusion Models Chenlin Meng Robin Rombach Ruiqi Gao Diederik P. Kingma Stefano Ermon Jonathan Ho Tim Salimans VLM DiffM 89 536 0 06 Oct 2022
Content-Based Search for Deep Generative Models Daohan Lu Sheng-Yu Wang Nupur Kumari Rohan Agarwal Mia Tang David Bau Jun-Yan Zhu DiffM SyDa 101 6 0 06 Oct 2022
Novel View Synthesis with Diffusion Models Daniel Watson William Chan Ricardo Martín Brualla Jonathan Ho Andrea Tagliasacchi Mohammad Norouzi DiffM 152 273 0 06 Oct 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 244 1,391 0 06 Oct 2022
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics Ivan Kapelyukh Vitalis Vosylius Edward Johns LM&Ro DiffM 236 148 0 05 Oct 2022
The Vendi Score: A Diversity Evaluation Metric for Machine Learning Dan Friedman Adji Bousso Dieng EGVM 165 128 0 05 Oct 2022
Imagen Video: High Definition Video Generation with Diffusion Models Jonathan Ho William Chan Chitwan Saharia Jay Whang Ruiqi Gao ... Diederik P. Kingma Ben Poole Mohammad Norouzi David J. Fleet Tim Salimans VGen 181 1,548 0 05 Oct 2022
Progressive Text-to-Image Generation Zhengcong Fei Mingyuan Fan Li Zhu Junshi Huang 156 4 0 05 Oct 2022
Vision+X: A Survey on Multimodal Learning in the Light of Data Ye Zhu Yuehua Wu N. Sebe Yan Yan 107 19 0 05 Oct 2022
Visual Prompt Tuning for Generative Transfer Learning Kihyuk Sohn Yuan Hao José Lezama Luisa F. Polanía Huiwen Chang Han Zhang Irfan Essa Lu Jiang VPVLM VLM 161 89 0 03 Oct 2022
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance Susung Hong Gyuseong Lee Wooseok Jang Seung Wook Kim DiffM 128 105 0 03 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models Shahar Lutati Lior Wolf DiffM 75 8 0 02 Oct 2022
Ten Years after ImageNet: A 360° Perspective on AI Sanjay Chawla Preslav Nakov Ahmed Ali Wendy Hall Issa M. Khalil Xiaosong Ma Husrev Taha Sencar Ingmar Weber Michael Wooldridge Tingyue Yu 31 0 0 01 Oct 2022
Protein structure generation via folding diffusion Kevin E. Wu Kevin Kaichuang Yang Rianne van den Berg James Zou Alex X. Lu Ava P. Amini DiffM 123 207 0 30 Sep 2022
TabDDPM: Modelling Tabular Data with Diffusion Models Akim Kotelnikov Dmitry Baranchuk Ivan Rubachev Artem Babenko DiffM 126 268 0 30 Sep 2022
Equivariant Energy-Guided SDE for Inverse Molecular Design Fan Bao Min Zhao Zhongkai Hao Pei‐Yun Li Chongxuan Li Jun Zhu DiffM 272 67 0 30 Sep 2022
Diffusion-based Image Translation using Disentangled Style and Content Representation Gihyun Kwon Jong Chul Ye DiffM 238 160 0 30 Sep 2022
Physical Adversarial Attack meets Computer Vision: A Decade Survey Hui Wei Hao Tang Xuemei Jia Zhixiang Wang Han-Bing Yu Zhubo Li Shiníchi Satoh Luc Van Gool Zheng Wang AAML 150 56 0 30 Sep 2022
State-specific protein-ligand complex structure prediction with a multi-scale deep generative model Zhuoran Qiao Weili Nie Arash Vahdat Thomas F. Miller Anima Anandkumar DiffM 98 98 0 30 Sep 2022
$Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20$\times$ Speedup$ Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20 $\times$ Speedup Wenjun Xia Qing Lyu Ge Wang DiffM MedIm 47 5 0 29 Sep 2022
Human Motion Diffusion Model Guy Tevet Sigal Raab Brian Gordon Yonatan Shafir Daniel Cohen-Or Amit H. Bermano DiffM VGen 287 771 0 29 Sep 2022
Analyzing Diffusion as Serial Reproduction Raja Marjieh Ilia Sucholutsky Thomas A. Langlois Nori Jacoby Thomas Griffiths DiffM 88 4 0 29 Sep 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 131 865 0 29 Sep 2022
Denoising MCMC for Accelerating Diffusion-Based Generative Models Beomsu Kim Jong Chul Ye DiffM 93 15 0 29 Sep 2022
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling Huayu Chen Cheng Lu Chengyang Ying Hang Su Jun Zhu DiffM OffRL 192 122 0 29 Sep 2022
Re-Imagen: Retrieval-Augmented Text-to-Image Generator Wenhu Chen Hexiang Hu Chitwan Saharia William W. Cohen VLM 212 178 0 29 Sep 2022
Compositional Score Modeling for Simulation-based Inference Tomas Geffner George Papamakarios A. Mnih 138 30 0 28 Sep 2022
Spectral Diffusion Processes Angus Phillips Thomas Seror M. Hutchinson Valentin De Bortoli Arnaud Doucet Emile Mathieu DiffM 132 17 0 28 Sep 2022
What Does DALL-E 2 Know About Radiology? Lisa Christine Adams Felix Busch Daniel Truhn Marcus R. Makowski Hugo J. W. L. Aerts Keno K. Bressem MedIm 66 61 0 27 Sep 2022
Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion Nisha Huang Fan Tang Weiming Dong Changsheng Xu DiffM 186 43 0 27 Sep 2022
A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images Puria Azadi Moghadam Sanne Van Dalen K. C. Martin J. Lennerz Stephen S. F. Yip H. Farahani A. Bashashati DiffM MedIm 64 90 0 27 Sep 2022
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances Brian B. Moser Federico Raue Stanislav Frolov Jörn Hees Sebastián M. Palacio Andreas Dengel 96 34 0 27 Sep 2022
Learning to Learn with Generative Models of Neural Network Checkpoints William S. Peebles Ilija Radosavovic Tim Brooks Alexei A. Efros Jitendra Malik UQCV 156 69 0 26 Sep 2022
All are Worth Words: A ViT Backbone for Diffusion Models Fan Bao Shen Nie Kaiwen Xue Yue Cao Chongxuan Li Hang Su Jun Zhu VLM 185 365 0 25 Sep 2022
Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models Qing Lyu Ge Wang DiffM MedIm 176 87 0 24 Sep 2022
Face Super-Resolution Using Stochastic Differential Equations Marcelo dos Santos Rayson Laroca Rafael O. Ribeiro João Neves Hugo Proencca David Menotti DiffM 67 12 0 24 Sep 2022
JPEG Artifact Correction using Denoising Diffusion Restoration Models Bahjat Kawar Jiaming Song Stefano Ermon Michael Elad DiffM 131 56 0 23 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 227 278 0 22 Sep 2022
Poisson Flow Generative Models Yilun Xu Ziming Liu M. Tegmark Tommi Jaakkola 195 88 0 22 Sep 2022