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Elucidating the Design Space of Diffusion-Based Generative Models

1 June 2022

Papers citing "Elucidating the Design Space of Diffusion-Based Generative Models"

49 / 1,449 papers shown

Title
PhysDiff: Physics-Guided Human Motion Diffusion Model Ye Yuan Jiaming Song Umar Iqbal Arash Vahdat Jan Kautz VGen DiffM 164 257 0 05 Dec 2022
Multiscale Structure Guided Diffusion for Image Deblurring Mengwei Ren M. Delbracio Hossein Talebi Guido Gerig P. Milanfar DiffM 105 65 0 04 Dec 2022
DiffRF: Rendering-Guided 3D Radiance Field Diffusion Norman Muller Yawar Siddiqui Lorenzo Porzi Samuel Rota Buló Peter Kontschieder Matthias Nießner 138 193 0 02 Dec 2022
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation Haochen Wang Xiaodan Du Jiahao Li Raymond A. Yeh Gregory Shakhnarovich DiffM 204 551 0 01 Dec 2022
3D Neural Field Generation using Triplane Diffusion J. Shue E. R. Chan Ryan Po Zachary Ankner Jiajun Wu Gordon Wetzstein DiffM 129 243 0 30 Nov 2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 120 89 0 28 Nov 2022
Continuous diffusion for categorical data Sander Dieleman Laurent Sartran Arman Roshannai Nikolay Savinov Yaroslav Ganin ... Conor Durkan Curtis Hawthorne Rémi Leblond Will Grathwohl J. Adler DiffM 121 106 0 28 Nov 2022
Latent Space Diffusion Models of Cryo-EM Structures Karsten Kreis Tim Dockhorn Zihao Li Ellen D. Zhong DiffM 75 16 0 25 Nov 2022
Fast Sampling of Diffusion Models via Operator Learning Hongkai Zheng Weili Nie Arash Vahdat Kamyar Azizzadenesheli Anima Anandkumar DiffM 148 152 0 24 Nov 2022
A Structure-Guided Diffusion Model for Large-Hole Image Completion Daichi Horita Jiaolong Yang Dong Chen Yuki Koyama Kiyoharu Aizawa N. Sebe DiffM 65 2 0 18 Nov 2022
InstructPix2Pix: Learning to Follow Image Editing Instructions Tim Brooks Aleksander Holynski Alexei A. Efros DiffM 328 1,844 0 17 Nov 2022
Conffusion: Confidence Intervals for Diffusion Models Eliahu Horwitz Yedid Hoshen DiffM 83 29 0 17 Nov 2022
GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection Yan Ju Shan Jia Jia Cai Haiying Guan Siwei Lyu CVBM 128 30 0 16 Nov 2022
A Novel Sampling Scheme for Text- and Image-Conditional Image Synthesis in Quantized Latent Spaces Dominic Rampas Pablo Pernias Marc Aubreville DiffM 67 12 0 14 Nov 2022
DriftRec: Adapting diffusion models to blind JPEG restoration Simon Welker H. Chapman Timo Gerkmann DiffM 99 13 0 12 Nov 2022
Self-conditioned Embedding Diffusion for Text Generation Robin Strudel Corentin Tallec Florent Altché Yilun Du Yaroslav Ganin ... Will Grathwohl Nikolay Savinov Sander Dieleman Laurent Sifre Rémi Leblond DiffM 89 88 0 08 Nov 2022
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 111 21 0 07 Nov 2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Yogesh Balaji Seungjun Nah Xun Huang Arash Vahdat Jiaming Song ... Timo Aila S. Laine Bryan Catanzaro Tero Karras Xuan Li VLM MoE 223 833 0 02 Nov 2022
Solving Audio Inverse Problems with a Diffusion Model Eloi Moliner J. Lehtinen Vesa Valimaki DiffM 118 53 0 27 Oct 2022
Conditional Diffusion with Less Explicit Guidance via Model Predictive Control Max W. Shen Ehsan Hajiramezanali Gabriele Scalia Alex Tseng N. Diamant Tommaso Biancalani Andreas Loukas 85 1 0 21 Oct 2022
Graphically Structured Diffusion Models Christian D. Weilbach William Harvey Frank Wood DiffM 87 7 0 20 Oct 2022
Diffusion Models already have a Semantic Latent Space Mingi Kwon Jaeseok Jeong Youngjung Uh 105 262 0 20 Oct 2022
Differentially Private Diffusion Models Tim Dockhorn Tianshi Cao Arash Vahdat Karsten Kreis DiffM 102 100 0 18 Oct 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance Chen Henry Wu Fernando de la Torre DiffM 122 69 0 11 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 122 114 0 11 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
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 93 536 0 06 Oct 2022
Novel View Synthesis with Diffusion Models Daniel Watson William Chan Ricardo Martín Brualla Jonathan Ho Andrea Tagliasacchi Mohammad Norouzi DiffM 173 274 0 06 Oct 2022
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIP Justin N. M. Pinkney Chuan Li CLIP VLM 115 20 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 186 1,549 0 05 Oct 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 106 98 0 30 Sep 2022
Denoising MCMC for Accelerating Diffusion-Based Generative Models Beomsu Kim Jong Chul Ye DiffM 98 15 0 29 Sep 2022
On Investigating the Conservative Property of Score-Based Generative Models Chen-Hao Chao Wei-Fang Sun Bo Wun Cheng Chun-Yi Lee 114 13 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 199 366 0 25 Sep 2022
Soft Diffusion: Score Matching for General Corruptions Giannis Daras M. Delbracio Hossein Talebi A. Dimakis P. Milanfar DiffM 157 112 0 12 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 369 1,260 0 10 Sep 2022
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples Nuo Xu Kaleel Mahmood Haowen Fang Ethan Rathbun Caiwen Ding Wujie Wen AAML 104 13 0 07 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 292 1,056 0 07 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 332 239 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 551 1,428 0 02 Sep 2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise Arpit Bansal Eitan Borgnia Hong-Min Chu Jie S. Li Hamid Kazemi Furong Huang Micah Goldblum Jonas Geiping Tom Goldstein VLM DiffM 85 288 0 19 Aug 2022
Speech Enhancement and Dereverberation with Diffusion-based Generative Models Julius Richter Simon Welker Jean-Marie Lemercier Bunlong Lay Timo Gerkmann DiffM 93 209 0 11 Aug 2022
(Certified!!) Adversarial Robustness for Free! Nicholas Carlini Florian Tramèr Krishnamurthy Dvijotham Leslie Rice Mingjie Sun J. Zico Kolter DiffM 119 156 0 21 Jun 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems Giannis Daras Y. Dagan A. Dimakis C. Daskalakis BDL 107 15 0 18 Jun 2022
gDDIM: Generalized denoising diffusion implicit models Qinsheng Zhang Molei Tao Yongxin Chen DiffM 119 117 0 11 Jun 2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models Giulio Franzese Simone Rossi Lixuan Yang A. Finamore Dario Rossi Maurizio Filippone Pietro Michiardi DiffM 76 47 0 10 Jun 2022
Fast Sampling of Diffusion Models with Exponential Integrator Qinsheng Zhang Yongxin Chen DiffM 114 439 0 29 Apr 2022
Learning Generative Models using Denoising Density Estimators Siavash Bigdeli Geng Lin Tiziano Portenier L. A. Dunbar Matthias Zwicker DiffM 108 16 0 08 Jan 2020