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
Topology-Aware Latent Diffusion for 3D Shape Generation Jiangbei Hu Ben Fei Baixin Xu Fei Hou Weidong Yang Shengfa Wang Na Lei Chen Qian Ying He 40 7 0 31 Jan 2024
CCA: Collaborative Competitive Agents for Image Editing Tiankai Hang Shuyang Gu Dong Chen Xin Geng Baining Guo 33 5 0 23 Jan 2024
Discrete Distribution Networks Lei Yang 31 1 0 29 Dec 2023
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models Angela Castillo Jonas Kohler Juan C. Pérez Juan Pablo Pérez Albert Pumarola Guohao Li Pablo Arbelaez Ali K. Thabet 37 12 0 19 Dec 2023
CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems Christian L. Jacobsen Yilin Zhuang Karthik Duraisamy AI4CE SyDa DiffM 34 17 0 16 Dec 2023
Continuous Diffusion for Mixed-Type Tabular Data Markus Mueller Kathrin Gruber Dennis Fok DiffM 61 5 0 16 Dec 2023
Investigating the Design Space of Diffusion Models for Speech Enhancement Philippe Gonzalez Zheng-Hua Tan Jan Østergaard Jesper Jensen T. S. Alstrøm Tobias May DiffM 33 6 0 07 Dec 2023
Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation Simeon Allmendinger Patrick Hemmer Moritz Queisner Igor Sauer Leopold Muller Johannes Jakubik Michael Vossing Niklas Kühl MedIm 21 6 0 05 Dec 2023
Analyzing and Improving the Training Dynamics of Diffusion Models Tero Karras M. Aittala J. Lehtinen Janne Hellsten Timo Aila S. Laine 42 158 0 05 Dec 2023
DiffiT: Diffusion Vision Transformers for Image Generation Ali Hatamizadeh Jiaming Song Guilin Liu Jan Kautz Arash Vahdat 39 67 0 04 Dec 2023
SMaRt: Improving GANs with Score Matching Regularity Mengfei Xia Yujun Shen Ceyuan Yang Ran Yi Wenping Wang Yong-jin Liu 39 5 0 30 Nov 2023
Bayesian Imaging for Radio Interferometry with Score-Based Priors Noé Dia M. J. Yantovski-Barth Alexandre Adam Micah Bowles Pablo Lemos A. Scaife Y. Hezaveh Laurence Perreault Levasseur 35 4 0 29 Nov 2023
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models Fei Kong Jinhao Duan Lichao Sun Hao-Ran Cheng Renjing Xu Hengtao Shen Xiao-lan Zhu Xiaoshuang Shi Kaidi Xu 44 3 0 23 Nov 2023
On the Limitation of Diffusion Models for Synthesizing Training Datasets Shinýa Yamaguchi Takuma Fukuda 35 6 0 22 Nov 2023
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models Jiajie Fan L. Vuaille Thomas Bäck Hao Wang DiffM 13 6 0 19 Nov 2023
Improved DDIM Sampling with Moment Matching Gaussian Mixtures Prasad Gabbur DiffM 30 1 0 08 Nov 2023
Bespoke Solvers for Generative Flow Models Neta Shaul Juan C. Pérez Ricky T. Q. Chen Ali K. Thabet Albert Pumarola Y. Lipman 31 23 0 29 Oct 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 34 10 0 28 Oct 2023
TorchDEQ: A Library for Deep Equilibrium Models Zhengyang Geng J. Zico Kolter VLM 62 12 0 28 Oct 2023
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 98 9 0 19 Oct 2023
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference Siqi Kou Lei Gan Dequan Wang Chongxuan Li Zhijie Deng BDL DiffM 23 7 0 17 Oct 2023
Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner Mengfei Xia Yujun Shen Changsong Lei Yu Zhou Ran Yi Deli Zhao Wenping Wang Yong-jin Liu 27 5 0 14 Oct 2023
Interpretable Diffusion via Information Decomposition Xianghao Kong Ollie Liu Han Li Dani Yogatama Greg Ver Steeg 24 21 0 12 Oct 2023
Efficient Integrators for Diffusion Generative Models Kushagra Pandey Maja R. Rudolph Stephan Mandt DiffM 21 10 0 11 Oct 2023
Boosting Continuous Control with Consistency Policy Yuhui Chen Haoran Li Dongbin Zhao OffRL 41 20 0 10 Oct 2023
Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh Lukas Gosch Yan Scholten Marten Lienen Leo Schwinn Stephan Günnemann DiffM 43 5 0 06 Oct 2023
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators Haiping Wang Yuan Liu Bing Wang Yujing Sun Zhenchao Dong Wenping Wang Bisheng Yang DiffM 38 11 0 05 Oct 2023
Mirror Diffusion Models for Constrained and Watermarked Generation Guan-Horng Liu T. Chen Evangelos A. Theodorou Molei Tao DiffM 18 22 0 02 Oct 2023
Warfare:Breaking the Watermark Protection of AI-Generated Content Guanlin Li Yifei Chen Jie Zhang Shangwei Guo Shangwei Guo Tianwei Zhang Jiwei Li Tianwei Zhang WIGM 60 3 0 27 Sep 2023
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation Jiahao Xie Wei Li Xiangtai Li Ziwei Liu Yew-Soon Ong Chen Change Loy DiffM VLM 72 35 0 22 Sep 2023
Elucidating the solution space of extended reverse-time SDE for diffusion models Qinpeng Cui Xinyi Zhang Zongqing Lu Qingmin Liao DiffM 38 5 0 12 Sep 2023
GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping Tianhao Wu Mingdong Wu Jiyao Zhang Yunchong Gan Hao Dong 46 20 0 12 Sep 2023
Latent Painter Shih-Chieh Su DiffM AI4CE 16 0 0 31 Aug 2023
Elucidating the Exposure Bias in Diffusion Models Mang Ning Mingxiao Li Jianlin Su A. A. Salah Itir Onal Ertugrul DiffM 121 35 0 29 Aug 2023
CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images Sookwan Han Hanbyul Joo 37 14 0 23 Aug 2023
Boosting Diffusion Models with an Adaptive Momentum Sampler Xiyu Wang Anh-Dung Dinh Daochang Liu Chang Xu 34 4 0 23 Aug 2023
Multi-GradSpeech: Towards Diffusion-based Multi-Speaker Text-to-speech Using Consistent Diffusion Models Heyang Xue Shuai Guo Pengcheng Zhu Mengxiao Bi DiffM 40 1 0 21 Aug 2023
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry Yong-Hyun Park Mingi Kwon J. Choi Junghyo Jo Youngjung Uh DiffM 40 60 0 24 Jul 2023
Interpolating between Images with Diffusion Models Clinton Jia Wang Polina Golland DiffM 31 21 0 24 Jul 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts Suttisak Wizadwongsa Worameth Chinchuthakun Pramook Khungurn Amit Raj Supasorn Suwajanakorn DiffM 51 2 0 20 Jul 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 44 62 0 17 Jul 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning Byung-Kwan Lee Junho Kim Yonghyun Ro AAML 33 9 0 14 Jul 2023
PC-Droid: Faster diffusion and improved quality for particle cloud generation Matthew Leigh Debasish Sengupta J. A. Raine Guillaume Quétant T. Golling DiffM 46 14 0 13 Jul 2023
Exact Diffusion Inversion via Bi-directional Integration Approximation Guoqiang Zhang J. P. Lewis W. Kleijn DiffM 37 24 0 10 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang Weijian Luo Zhihua Zhang DiffM 32 13 0 10 Jul 2023
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks Jingwei Zhang Han Shi Jincheng Yu Enze Xie Zhenguo Li DiffM 26 3 0 05 Jul 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis Dustin Podell Zion English Kyle Lacey A. Blattmann Tim Dockhorn Jonas Muller Joe Penna Robin Rombach 133 2,151 0 04 Jul 2023
Collaborative Score Distillation for Consistent Visual Synthesis Subin Kim Kyungmin Lee June Suk Choi Jongheon Jeong Kihyuk Sohn Jinwoo Shin DiffM 32 21 0 04 Jul 2023
Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations Anil Osman Tur Nicola Dall’Asen Cigdem Beyan Elisa Ricci DiffM VGen 27 14 0 04 Jul 2023
Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation Tserendorj Adiya Jae Shin Yoon Jungeun Lee Sang-hyeon Kim Hwasup Lim DiffM 31 0 0 02 Jul 2023