Efficient Diffusion Models for Vision: A Survey

7 October 2022

Papers citing "Efficient Diffusion Models for Vision: A Survey"

50 / 101 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 235 30,089 0 01 Mar 2022
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders Huangjie Zheng Pengcheng He Weizhu Chen Mingyuan Zhou DiffM 57 46 0 19 Feb 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality Daniel Watson William Chan Jonathan Ho Mohammad Norouzi DiffM BDL 77 182 0 11 Feb 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 238 508 0 01 Feb 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 262 823 0 27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 328 1,396 0 24 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 357 15,373 0 20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 292 3,582 0 20 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 74 232 0 14 Dec 2021
More Control for Free! Image Synthesis with Semantic Diffusion Guidance Xihui Liu Dong Huk Park S. Azadi Gong Zhang Arman Chopikyan Yuxiao Hu Humphrey Shi Anna Rohrbach Trevor Darrell DiffM 72 255 0 10 Dec 2021
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction Hyungjin Chung Byeongsu Sim Jong Chul Ye MedIm DiffM 104 352 0 09 Dec 2021
Diffusion Models for Implicit Image Segmentation Ensembles J. Wolleb Robin Sandkühler Florentin Bieder Philippe Valmaggia Philippe C. Cattin DiffM MedIm VLM 165 270 0 06 Dec 2021
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 250 530 0 06 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 106 430 0 30 Nov 2021
Conditional Image Generation with Score-Based Diffusion Models Georgios Batzolis Jan Stanczuk Carola-Bibiane Schönlieb Christian Etmann DiffM 33 191 0 26 Nov 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 469 1,627 0 10 Nov 2021
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter Amin Heyrani Nobari Faez Ahmed 3DV AI4CE 54 180 0 21 Oct 2021
Diffusion Normalizing Flow Qinsheng Zhang Yongxin Chen DiffM 56 90 0 14 Oct 2021
Denoising Diffusion Gamma Models Eliya Nachmani S. Robin Lior Wolf DiffM VLM 43 32 0 10 Oct 2021
Autoregressive Diffusion Models Emiel Hoogeboom Alexey A. Gritsenko Jasmijn Bastings Ben Poole Rianne van den Berg Tim Salimans DiffM 76 153 0 05 Oct 2021
Bilateral Denoising Diffusion Models Max W. Y. Lam Jun Wang Rongjie Huang Dan Su Dong Yu DiffM 50 42 0 26 Aug 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis Patrick Esser Robin Rombach A. Blattmann Bjorn Ommer DiffM 74 160 0 19 Aug 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Jooyoung Choi Sungwon Kim Yonghyun Jeong Youngjune Gwon Sungroh Yoon DiffM 116 714 0 06 Aug 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Chenlin Meng Yutong He Yang Song Jiaming Song Jiajun Wu Jun-Yan Zhu Stefano Ermon DiffM 130 1,484 0 02 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 60 240 0 01 Aug 2021
How Much Can CLIP Benefit Vision-and-Language Tasks? Sheng Shen Liunian Harold Li Hao Tan Joey Tianyi Zhou Anna Rohrbach Kai-Wei Chang Z. Yao Kurt Keutzer CLIP VLM MLLM 253 408 0 13 Jul 2021
Non Gaussian Denoising Diffusion Models Eliya Nachmani Robin San Roman Lior Wolf VLM DiffM 63 50 0 14 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 45 677 0 10 Jun 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models Daniel Watson Jonathan Ho Mohammad Norouzi William Chan DiffM 75 137 0 07 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 93 461 0 01 Jun 2021
On Fast Sampling of Diffusion Probabilistic Models Zhifeng Kong Ming-Yu Liu DiffM 75 197 0 31 May 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 136 1,213 0 30 May 2021
Gotta Go Fast When Generating Data with Score-Based Models Alexia Jolicoeur-Martineau Ke Li Remi Piche-Taillefer Tal Kachman Ioannis Mitliagkas DiffM 68 223 0 28 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 181 7,765 0 11 May 2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models Haoying Li Yifan Yang Meng Chang H. Feng Zhi-hai Xu Qi Li Yue-ting Chen DiffM 61 631 0 30 Apr 2021
Noise Estimation for Generative Diffusion Models Robin San-Roman Eliya Nachmani Lior Wolf DiffM 71 106 0 06 Apr 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 291 3,648 0 18 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 277 416 0 10 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 122 657 0 22 Jan 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 224 274 0 07 Jan 2021
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 112 2,932 0 17 Dec 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 213 7,294 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 500 17,888 0 19 Jun 2020
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 123 1,804 0 02 Jun 2019
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 240 5,381 0 28 Sep 2018
A Note on the Inception Score Shane T. Barratt Rishi Sharma EGVM 86 691 0 06 Jan 2018
Defense against Universal Adversarial Perturbations Naveed Akhtar Jian Liu Ajmal Mian AAML 73 207 0 16 Nov 2017
CIFAR-10: KNN-based Ensemble of Classifiers Yehya Abouelnaga Ola S. Ali Hager Rady Mohamed Moustafa FedML 28 65 0 15 Nov 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 464 9,027 0 10 Jun 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 258 6,887 0 12 Mar 2015