Elucidating the Design Space of Diffusion-Based Generative Models

1 June 2022

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

50 / 413 papers shown

Title
Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards A. V. Meekeren Maya Aghaei K. Dijkstra DiffM 26 1 0 20 Jun 2023
Masked Diffusion Models Are Fast Distribution Learners Jiachen Lei Qinglong Wang Pengyu Cheng Zhongjie Ba Zhan Qin Peng Kuang Zhenguang Liu Kui Ren DiffM 34 2 0 20 Jun 2023
UniG3D: A Unified 3D Object Generation Dataset Qinghong Sun Yangguang Li Zexia Liu Xiaoshui Huang Fenggang Liu Xihui Liu Wanli Ouyang Jing Shao 31 6 0 19 Jun 2023
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness Yoav Kurtz Noga Bar Raja Giryes 32 0 0 16 Jun 2023
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis Zhiyu Jin Xuli Shen Bin Li Xiangyang Xue 31 36 0 14 Jun 2023
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning Shuxin Zheng Jiyan He Chang-Shu Liu Yu Shi Ziheng Lu ... Peiran Jin Chi Chen Frank Noé Haiguang Liu Tie-Yan Liu AI4CE 34 41 0 08 Jun 2023
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation Minghui Hu Jianbin Zheng Daqing Liu Chuanxia Zheng Chaoyue Wang Dacheng Tao Tat-Jen Cham DiffM 37 9 0 01 Jun 2023
Differential Diffusion: Giving Each Pixel Its Strength E. Levin Ohad Fried DiffM 39 20 0 01 Jun 2023
Addressing Negative Transfer in Diffusion Models Hyojun Go Jinyoung Kim Yunsung Lee Seunghyun Lee Shinhyeok Oh Hyeongdon Moon Seungtaek Choi DiffM VLM 32 24 0 01 Jun 2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data Giannis Daras Kulin Shah Y. Dagan Aravind Gollakota A. Dimakis Adam R. Klivans DiffM 45 68 0 30 May 2023
Likelihood-Based Diffusion Language Models Ishaan Gulrajani Tatsunori B. Hashimoto DiffM 29 51 0 30 May 2023
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness Suraj Srinivas Sebastian Bordt Hima Lakkaraju AAML 30 12 0 30 May 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining Shengchao Liu Weitao Du Zhiming Ma Hongyu Guo Jian Tang 31 30 0 28 May 2023
Neural modeling of magnetic tape recorders Otto Mikkonen Alec Wright Eloi Moliner Vesa Valimaki 27 3 0 26 May 2023
UDPM: Upsampling Diffusion Probabilistic Models Shady Abu Hussein Raja Giryes DiffM 41 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 40 11 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 47 24 0 24 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 38 23 0 23 May 2023
Decoupled Kullback-Leibler Divergence Loss Jiequan Cui Zhuotao Tian Zhisheng Zhong Xiaojuan Qi Bei Yu Hanwang Zhang 39 38 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 46 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 35 0 0 19 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 52 51 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 24 17 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 30 103 0 18 May 2023
Raising the Bar for Certified Adversarial Robustness with Diffusion Models Thomas Altstidl David Dobre Björn Eskofier Gauthier Gidel Leo Schwinn DiffM 40 7 0 17 May 2023
Exploiting Diffusion Prior for Real-World Image Super-Resolution Jianyi Wang Zongsheng Yue Shangchen Zhou Kelvin C. K. Chan Chen Change Loy 46 284 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 30 40 0 11 May 2023
Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation Zihao Wang DiffM 38 4 0 26 Apr 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 29 2 0 25 Apr 2023
Synthetic Data from Diffusion Models Improves ImageNet Classification Shekoofeh Azizi Simon Kornblith Chitwan Saharia Mohammad Norouzi David J. Fleet VLM DiffM 40 296 0 17 Apr 2023
Memory Efficient Diffusion Probabilistic Models via Patch-based Generation Shinei Arakawa Hideki Tsunashima Daichi Horita Keitaro Tanaka Shigeo Morishima DiffM 16 3 0 14 Apr 2023
Intriguing properties of synthetic images: from generative adversarial networks to diffusion models Riccardo Corvi D. Cozzolino Giovanni Poggi Koki Nagano L. Verdoliva DiffM 29 89 0 13 Apr 2023
Reflected Diffusion Models Aaron Lou Stefano Ermon 24 50 0 10 Apr 2023
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models Nikita Starodubcev Dmitry Baranchuk Valentin Khrulkov Artem Babenko DiffM 49 4 0 10 Apr 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models Weijian Luo DiffM MedIm 52 33 0 09 Apr 2023
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis Qiucheng Wu Yujian Liu Handong Zhao T. Bui Zhe-nan Lin Yang Zhang Shiyu Chang DiffM 42 45 0 07 Apr 2023
GenPhys: From Physical Processes to Generative Models Ziming Liu Di Luo Yilun Xu Tommi Jaakkola M. Tegmark AI4CE 24 14 0 05 Apr 2023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies Moritz Reuss M. Li Xiaogang Jia Rudolf Lioutikov DiffM 53 157 0 05 Apr 2023
DiffCollage: Parallel Generation of Large Content with Diffusion Models Qinsheng Zhang Jiaming Song Xun Huang Yongxin Chen Xuan Li DiffM 31 82 0 30 Mar 2023
MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path Qian Wang Biao Zhang Michael Birsak Peter Wonka DiffM 30 17 0 29 Mar 2023
Visual Chain-of-Thought Diffusion Models William Harvey Frank Wood DiffM VLM 41 7 0 28 Mar 2023
Medical diffusion on a budget: textual inversion for medical image generation B. D. Wilde A. Saha R. T. Broek Henkjan Huisman DiffM MedIm 44 15 0 23 Mar 2023
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models Weijia Wu Yuzhong Zhao Mike Zheng Shou Hong Zhou Chunhua Shen 50 140 0 21 Mar 2023
A Recipe for Watermarking Diffusion Models Yunqing Zhao Tianyu Pang Chao Du Xiao Yang Ngai-man Cheung Min Lin WIGM 30 115 0 17 Mar 2023
Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions L. Bogensperger Dominik Narnhofer Filip Ilic Thomas Pock DiffM MedIm 19 8 0 10 Mar 2023
GECCO: Geometrically-Conditioned Point Diffusion Models M. Tyszkiewicz Pascal Fua Eduard Trulls DiffM 26 21 0 10 Mar 2023
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models Hongyi Yuan Songchi Zhou Sheng Yu DiffM MedIm 34 16 0 10 Mar 2023
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation David Berthelot Arnaud Autef Jierui Lin Dian Ang Yap Shuangfei Zhai Siyuan Hu Daniel Zheng Walter Talbot Eric Gu DiffM 31 81 0 07 Mar 2023
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-Type Samplers Sitan Chen Giannis Daras A. Dimakis DiffM 26 62 0 06 Mar 2023
StyO: Stylize Your Face in Only One-Shot Bonan li Zicheng Zhang Xuecheng Nie Congying Han Yinhan Hu Tiande Guo DiffM 39 6 0 06 Mar 2023