Generative Modeling by Estimating Gradients of the Data Distribution

12 July 2019

Papers citing "Generative Modeling by Estimating Gradients of the Data Distribution"

50 / 2,620 papers shown

Title
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion Hossein Souri Arpit Bansal Hamid Kazemi Liam H. Fowl Aniruddha Saha Jonas Geiping Andrew Gordon Wilson Rama Chellappa Tom Goldstein Micah Goldblum SILM DiffM 31 1 0 25 Mar 2024
Invertible Diffusion Models for Compressed Sensing Bin Chen Zhenyu Zhang Weiqi Li Chen Zhao Jiwen Yu Shijie Zhao Jie Chen Jian Zhang DiffM 75 5 0 25 Mar 2024
Diffusion Model is a Good Pose Estimator from 3D RF-Vision Junqiao Fan Jianfei Yang Yuecong Xu Lihua Xie DiffM 48 2 0 24 Mar 2024
Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery Siddharth Tourani Ahmed Alwheibi Arif Mahmood Muhammad Haris Khan DiffM 51 1 0 24 Mar 2024
Adversarial Guided Diffusion Models for Adversarial Purification Guang Lin Zerui Tao Jianhai Zhang Toshihisa Tanaka Qibin Zhao 40 5 0 24 Mar 2024
In-Context Matting He Guo Zixuan Ye Zhiguo Cao Hao Lu VOS 38 0 0 23 Mar 2024
DragAPart: Learning a Part-Level Motion Prior for Articulated Objects Ruining Li Chuanxia Zheng Christian Rupprecht Andrea Vedaldi DiffM 71 19 0 22 Mar 2024
Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization Jimyeong Kim Jungwon Park Wonjong Rhee DiffM 43 5 0 22 Mar 2024
TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization Jinbo Wu Xing Liu Chenming Wu Xiaobo Gao Jialun Liu Xinqi Liu Chen Zhao Haocheng Feng Errui Ding Jingdong Wang 46 4 0 22 Mar 2024
Osmosis: RGBD Diffusion Prior for Underwater Image Restoration Opher Bar Nathan Deborah Levy T. Treibitz Dan Rosenbaum 63 5 0 21 Mar 2024
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection Jakub Micorek Horst Possegger Dominik Narnhofer Horst Bischof Mateusz Koziñski 40 7 0 21 Mar 2024
3D Object Detection from Point Cloud via Voting Step Diffusion Haoran Hou Mingtao Feng Zijie Wu Weisheng Dong Qing Zhu Yaonan Wang Ajmal Mian DiffM 3DPC 56 4 0 21 Mar 2024
ZigMa: A DiT-style Zigzag Mamba Diffusion Model Vincent Tao Hu S. A. Baumann Ming Gui Olga Grebenkova Pingchuan Ma Johannes S. Fischer Bjorn Ommer 47 43 0 20 Mar 2024
DepthFM: Fast Monocular Depth Estimation with Flow Matching Ming Gui Johannes S. Fischer Ulrich Prestel Pingchuan Ma Dmytro Kotovenko Olga Grebenkova S. A. Baumann Vincent Tao Hu Bjorn Ommer MDE 41 53 0 20 Mar 2024
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data Giannis Daras Alexandros G. Dimakis Constantinos Daskalakis 51 23 0 20 Mar 2024
DreamMotion: Space-Time Self-Similar Score Distillation for Zero-Shot Video Editing Hyeonho Jeong Jinho Chang Geon Yeong Park Jong Chul Ye DiffM VGen 54 13 0 18 Mar 2024
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models Emilian Postolache Giorgio Mariani Luca Cosmo Emmanouil Benetos Emanuele Rodolà DiffM 48 9 0 18 Mar 2024
SeisFusion: Constrained Diffusion Model with Input Guidance for 3D Seismic Data Interpolation and Reconstruction Shuang Wang Fei Deng Peifan Jiang Zishan Gong Xiaolin K. Wei Yuqing Wang DiffM 40 4 0 18 Mar 2024
Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priors Yazid Janati Alain Durmus Eric Moulines Jimmy Olsson DiffM 72 8 0 18 Mar 2024
Understanding Diffusion Models by Feynman's Path Integral Yuji Hirono A. Tanaka Kenji Fukushima DiffM 51 6 0 17 Mar 2024
Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model Dian Zheng Xiao-Ming Wu Shuzhou Yang Jian Zhang Jianfang Hu Wei-Shi Zheng DiffM 54 29 0 17 Mar 2024
Reward Guided Latent Consistency Distillation Jiachen Li Weixi Feng Wenhu Chen William Y. Wang EGVM 42 13 0 16 Mar 2024
Boosting Flow-based Generative Super-Resolution Models via Learned Prior Li-Yuan Tsao Yi-Chen Lo Chia-Che Chang Hao-Wei Chen Roy Tseng Chien Feng Chun-Yi Lee SupR 45 4 0 16 Mar 2024
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation Yeongtak Oh Jonghyun Lee Jooyoung Choi Dahuin Jung Uiwon Hwang Sungroh Yoon TTA DiffM 50 5 0 16 Mar 2024
Probabilistic World Modeling with Asymmetric Distance Measure Meng Song 38 0 0 16 Mar 2024
IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation Yizhi Song Zhifei Zhang Zhe Lin Scott D. Cohen Brian L. Price Jianming Zhang Soo Ye Kim He Zhang Wei Xiong Daniel G. Aliaga DiffM 78 38 0 15 Mar 2024
FDGaussian: Fast Gaussian Splatting from Single Image via Geometric-aware Diffusion Model Qijun Feng Zhen Xing Zuxuan Wu Yu-Gang Jiang 3DGS 66 8 0 15 Mar 2024
Generative Modelling of Stochastic Rotating Shallow Water Noise Dan Crisan Oana Lang Alexander Lobbe 40 0 0 15 Mar 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 82 6 0 15 Mar 2024
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields Yi-Lun Liao Tess E. Smidt Abhishek Das DiffM AI4CE 45 12 0 14 Mar 2024
LM2D: Lyrics- and Music-Driven Dance Synthesis Wenjie Yin Xuejiao Zhao Yi Yu Hang Yin Danica Kragic Mårten Björkman 48 1 0 14 Mar 2024
Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction Hanyu Chen Zhixiu Hao Lin Guo Liying Xiao 46 1 0 14 Mar 2024
Deep Limit Order Book Forecasting Antonio Briola Silvia Bartolucci T. Aste 48 3 0 14 Mar 2024
Scaling Up Dynamic Human-Scene Interaction Modeling Nan Jiang Zhiyuan Zhang Hongjie Li Xiaoxuan Ma Zan Wang Yixin Chen Tengyu Liu Yixin Zhu Siyuan Huang 43 55 0 13 Mar 2024
Towards Dense and Accurate Radar Perception Via Efficient Cross-Modal Diffusion Model Ruibin Zhang Donglai Xue Yuhan Wang Ruixu Geng Fei Gao 55 6 0 13 Mar 2024
Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI Lintao Zhang Mengqi Wu Lihong Wang David C. Steffens G. Potter Mingxia Liu MedIm 34 0 0 13 Mar 2024
Efficient Diffusion Model for Image Restoration by Residual Shifting Zongsheng Yue Jianyi Wang Chen Change Loy DiffM 60 36 0 12 Mar 2024
When No-Reference Image Quality Models Meet MAP Estimation in Diffusion Latents Weixia Zhang Dingquan Li Guangtao Zhai Xiaokang Yang Kede Ma 43 1 0 11 Mar 2024
Improving Diffusion-Based Generative Models via Approximated Optimal Transport Daegyu Kim Jooyoung Choi Chaehun Shin Uiwon Hwang Sungroh Yoon OT 50 2 0 08 Mar 2024
InstructGIE: Towards Generalizable Image Editing Zichong Meng Changdi Yang Jun Liu Hao Tang Pu Zhao Yanzhi Wang DiffM 54 6 0 08 Mar 2024
DiffClass: Diffusion-Based Class Incremental Learning Zichong Meng Jie Zhang Changdi Yang Zheng Zhan Pu Zhao Yanzhi Wang DiffM CLL 51 15 0 08 Mar 2024
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser Qingyuan Cai Xuecai Hu Saihui Hou Li Yao Yongzhen Huang DiffM 34 13 0 07 Mar 2024
ACC-ViT : Atrous Convolution's Comeback in Vision Transformers Nabil Ibtehaz Ning Yan Masood S. Mortazavi Daisuke Kihara ViT 52 3 0 07 Mar 2024
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process Xiangxin Zhou Liang Wang Yichi Zhou DiffM 39 5 0 07 Mar 2024
Accelerating Convergence of Score-Based Diffusion Models, Provably Gen Li Yu Huang Timofey Efimov Yuting Wei Yuejie Chi Yuxin Chen DiffM 61 30 0 06 Mar 2024
Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation B. Fesl Michael Baur Florian Strasser M. Joham Wolfgang Utschick DiffM 42 14 0 06 Mar 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Patrick Esser Sumith Kulal A. Blattmann Rahim Entezari Jonas Muller ... Zion English Kyle Lacey Alex Goodwin Yannik Marek Robin Rombach DiffM 150 1,155 0 05 Mar 2024
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors Yannan He Garvita Tiwari Tolga Birdal J. E. Lenssen Gerard Pons-Moll 49 8 0 05 Mar 2024
Time Weaver: A Conditional Time Series Generation Model Sai Shankar Narasimhan Shubhankar Agarwal Oguzhan Akcin Sujay Sanghavi Sandeep Chinchali DiffM MedIm 64 20 0 05 Mar 2024
Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning P. Hess Michael Aich Baoxiang Pan Niklas Boers AI4Cl 62 2 0 05 Mar 2024