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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"

50 / 1,449 papers shown

Title
Generating Behaviorally Diverse Policies with Latent Diffusion Models Shashank Hegde Sumeet Batra K.R. Zentner Gaurav Sukhatme 101 14 0 30 May 2023
Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection Daegyu Kim Chaehun Shin Jooyoung Choi Dahuin Jung Sung-Hoon Yoon DiffM 105 10 0 30 May 2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models Weijian Luo Tianyang Hu Shifeng Zhang Jiacheng Sun Zhenguo Li Zhihua Zhang 131 138 0 29 May 2023
Generating Driving Scenes with Diffusion Ethan Pronovost Kai Wang N. Roy DiffM 89 17 0 29 May 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining Shengchao Liu Weitao Du Zhiming Ma Hongyu Guo Jian Tang 107 33 0 28 May 2023
Toward Understanding Generative Data Augmentation Chenyu Zheng Guoqiang Wu Chongxuan Li 96 31 0 27 May 2023
Neural modeling of magnetic tape recorders Otto Mikkonen Alec Wright Eloi Moliner Vesa Valimaki 56 3 0 26 May 2023
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion Guangyao Zhai Evin Pınar Örnek Shun-cheng Wu Yan Di F. Tombari Nassir Navab Benjamin Busam DiffM 142 14 0 25 May 2023
UDPM: Upsampling Diffusion Probabilistic Models Shady Abu Hussein Raja Giryes DiffM 105 1 0 25 May 2023
Trans-Dimensional Generative Modeling via Jump Diffusion Models Andrew Campbell William Harvey Christian D. Weilbach Valentin De Bortoli Tom Rainforth Arnaud Doucet DiffM 125 13 0 25 May 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models Jean-Yves Franceschi Mike Gartrell Ludovic Dos Santos Thibaut Issenhuth Emmanuel de Bezenac Mickaël Chen A. Rakotomamonjy DiffM 117 23 0 25 May 2023
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image Denoising Xuantong Liu Yaoqin Xie Junting Cheng Songhui Diao Shan Tan Xiaokun Liang MedIm DiffM 81 27 0 25 May 2023
Efficient Neural Music Generation Max W. Y. Lam Qiao Tian Tang-Chun Li Zongyu Yin Siyuan Feng ... Mingbo Ma Xuchen Song Jitong Chen Yuping Wang Yuxuan Wang DiffM MGen 95 56 0 25 May 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models Z. Y. Wan Ricardo Baptista Yi-fan Chen John R. Anderson Anudhyan Boral Fei Sha Leonardo Zepeda-Núñez DiffM 101 24 0 24 May 2023
Robust Classification via a Single Diffusion Model Huanran Chen Yinpeng Dong Zhengyi Wang Xiaohu Yang Chen-Dong Duan Hang Su Jun Zhu 154 60 0 24 May 2023
Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models Zhongjie Duan Chengyu Wang Cen Chen Jun Huang Weining Qian DiffM 66 12 0 24 May 2023
DirecT2V: Large Language Models are Frame-Level Directors for Zero-Shot Text-to-Video Generation Susung Hong Junyoung Seo Heeseong Shin Sung‐Jin Hong Seung Wook Kim DiffM VGen 106 36 0 23 May 2023
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models Martin Gonzalez N. Fernández T. Tran Elies Gherbi H. Hajri N. Masmoudi DiffM 101 26 0 23 May 2023
Decoupled Kullback-Leibler Divergence Loss Jiequan Cui Zhuotao Tian Zhisheng Zhong Xiaojuan Qi Bei Yu Hanwang Zhang 83 46 0 23 May 2023
SE-Bridge: Speech Enhancement with Consistent Brownian Bridge Zhibin Qiu Mengfan Fu Gang Hua G. Altenbek Hao Huang DiffM 82 5 0 23 May 2023
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection Jiang-Long Liu Chun Pong Lau Ramalingam Chellappa DiffM 80 32 0 23 May 2023
Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach Yufan Zhou Ruiyi Zhang Tongfei Sun Jinhui Xu DiffM 144 40 0 23 May 2023
Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models Byungjun Kim Patrick Kwon K. Lee Myunggi Lee Sookwan Han Daesik Kim Hanbyul Joo DiffM 85 20 0 19 May 2023
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion Chao-Hong Tan Jia-Chen Gu Zhen-Hua Ling DiffM 67 1 0 19 May 2023
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces Javier E. Santos Z. Fox Nicholas Lubbers Yen Ting Lin DiffM 88 20 0 18 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 122 64 0 18 May 2023
Diffusion Language Models Generation Can Be Halted Early Sofia Maria Lo Cicero Vaina Nikita Balagansky Daniil Gavrilov DiffM 84 0 0 18 May 2023
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling Shitong Shao Xu Dai Shouyi Yin Lujun Li Huanran Chen Yang Hu 103 17 0 18 May 2023
Sampling, Diffusions, and Stochastic Localization Andrea Montanari DiffM 63 34 0 18 May 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models Yefei He Luping Liu Jing Liu Weijia Wu Hong Zhou Bohan Zhuang DiffM MQ 138 110 0 18 May 2023
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models Songwei Ge Seungjun Nah Guilin Liu Tyler Poon Andrew Tao Bryan Catanzaro David Jacobs Jia-Bin Huang Ming-Yuan Liu Yogesh Balaji DiffM VGen 127 263 0 17 May 2023
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics Alexander Shmakov Kevin Greif M. Fenton A. Ghosh Pierre Baldi D. Whiteson DiffM 87 39 0 17 May 2023
Raising the Bar for Certified Adversarial Robustness with Diffusion Models Thomas Altstidl David Dobre Björn Eskofier Gauthier Gidel Leo Schwinn DiffM 100 7 0 17 May 2023
Denoising Diffusion Models for Plug-and-Play Image Restoration Yuanzhi Zhu Peng Sun Christos Sakaridis Jingyun Liang Bihan Wen Radu Timofte Luc Van Gool DiffM 143 221 0 15 May 2023
Laughing Matters: Introducing Laughing-Face Generation using Diffusion Models Antoni Bigata Casademunt Rodrigo Mira Nikita Drobyshev Konstantinos Vougioukas Stavros Petridis Maja Pantic DiffM 103 2 0 15 May 2023
Exploiting Diffusion Prior for Real-World Image Super-Resolution Jianyi Wang Zongsheng Yue Shangchen Zhou Kelvin C. K. Chan Chen Change Loy 197 326 0 11 May 2023
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model Zhe Ye Wei Xue Xuejiao Tan Jie Chen Qi-fei Liu Yi-Ting Guo DiffM 95 46 0 11 May 2023
A Variational Perspective on Solving Inverse Problems with Diffusion Models Morteza Mardani Jiaming Song Jan Kautz Arash Vahdat DiffM 102 146 0 07 May 2023
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model Min Yang Shangchao Su Bin Li Xiangyang Xue DiffM 133 31 0 06 May 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 133 34 0 06 May 2023
Iterative $α$ -(de)Blending: a Minimalist Deterministic Diffusion Model Eric Heitz Laurent Belcour T. Chambon DiffM 85 41 0 05 May 2023
Shap-E: Generating Conditional 3D Implicit Functions Heewoo Jun Alex Nichol DiffM 297 322 0 03 May 2023
Long-Term Rhythmic Video Soundtracker Jiashuo Yu Yaohui Wang Xinyuan Chen Xiao Sun Yu Qiao DiffM 105 13 0 02 May 2023
Class-Balancing Diffusion Models Yiming Qin Huangjie Zheng Jiangchao Yao Mingyuan Zhou Ya Zhang DiffM 123 44 0 30 Apr 2023
Generating images of rare concepts using pre-trained diffusion models Dvir Samuel Rami Ben-Ari Simon Raviv N. Darshan Gal Chechik 246 45 0 27 Apr 2023
Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation Zihao Wang DiffM 76 4 0 26 Apr 2023
Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images Zeyu Lu Di Huang Lei Bai Jingjing Qu Chengzhi Wu Xihui Liu Wanli Ouyang 92 58 0 25 Apr 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 70 2 0 25 Apr 2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning Cheng Lu Huayu Chen Jianfei Chen Hang Su Chongxuan Li Jun Zhu DiffM OffRL 147 75 0 25 Apr 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models Zhendong Wang Yi Ding Huangjie Zheng Peihao Wang Pengcheng He Zhangyang Wang Weizhu Chen Mingyuan Zhou 94 109 0 25 Apr 2023