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
Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization Takuhiro Kaneko 59 3 0 06 Jun 2024
Multistep Distillation of Diffusion Models via Moment Matching Tim Salimans Thomas Mensink Jonathan Heek Emiel Hoogeboom DiffM 38 26 0 06 Jun 2024
Pi-fusion: Physics-informed diffusion model for learning fluid dynamics Jing Qiu Jiancheng Huang Xiangdong Zhang Zeng Lin Minglei Pan Zengding Liu F. Miao AI4CE 52 2 0 06 Jun 2024
Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis Juanhua Zhang Ruodan Yan Alessandro Perelli Xi Chen Chao Li MedIm DiffM 77 5 0 05 Jun 2024
Guiding a Diffusion Model with a Bad Version of Itself Tero Karras M. Aittala Tuomas Kynkaanniemi J. Lehtinen Timo Aila S. Laine 48 62 0 04 Jun 2024
Pancreatic Tumor Segmentation as Anomaly Detection in CT Images Using Denoising Diffusion Models Reza Babaei Samuel Cheng Theresa Thai Shangqing Zhao MedIm DiffM 64 2 0 04 Jun 2024
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems Jason Hu Bowen Song Xiaojian Xu Liyue Shen Jeffrey A. Fessler MedIm DiffM 66 8 0 04 Jun 2024
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation Clement Chadebec O. Tasar Eyal Benaroche Benjamin Aubin VLM 67 9 0 04 Jun 2024
An Independence-promoting Loss for Music Generation with Language Models Jean-Marie Lemercier Simon Rouard Jade Copet Yossi Adi Alexandre Défossez 35 1 0 04 Jun 2024
Diffusion Boosted Trees Xizewen Han Mingyuan Zhou AI4CE 69 0 0 03 Jun 2024
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching Xinyin Ma Gongfan Fang Michael Bi Mi Xinchao Wang 68 33 0 03 Jun 2024
DiffUHaul: A Training-Free Method for Object Dragging in Images Omri Avrahami Rinon Gal Gal Chechik Ohad Fried Dani Lischinski Arash Vahdat Weili Nie 58 15 0 03 Jun 2024
Segmentation-Free Guidance for Text-to-Image Diffusion Models K. Azarian Debasmit Das Qiqi Hou Fatih Porikli VLM 64 0 0 03 Jun 2024
Dimba: Transformer-Mamba Diffusion Models Zhengcong Fei Mingyuan Fan Changqian Yu Debang Li Youqiang Zhang Junshi Huang Mamba 67 18 0 03 Jun 2024
$Δ$ -DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers Pengtao Chen Mingzhu Shen Peng Ye Jianjian Cao Chongjun Tu C. Bouganis Yiren Zhao Tao Chen 71 32 0 03 Jun 2024
Demystifying SGD with Doubly Stochastic Gradients Kyurae Kim Joohwan Ko Yian Ma Jacob R. Gardner 62 1 0 03 Jun 2024
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting Jincheng Zhong Xingzhuo Guo Jiaxiang Dong Mingsheng Long DiffM 53 2 0 02 Jun 2024
Full-Atom Peptide Design based on Multi-modal Flow Matching Jiahan Li Chaoran Cheng Zuofan Wu Ruihan Guo Shitong Luo Zhizhou Ren Jian-wei Peng Jianzhu Ma 72 17 0 02 Jun 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient Zechu Li Rickmer Krohn Tao Chen Anurag Ajay Pulkit Agrawal Georgia Chalvatzaki DiffM 67 12 0 02 Jun 2024
Learning Discrete Concepts in Latent Hierarchical Models Lingjing Kong Guan-Hong Chen Erdun Gao Eric P. Xing Yuejie Chi Kun Zhang 56 5 0 01 Jun 2024
AudioLCM: Text-to-Audio Generation with Latent Consistency Models Huadai Liu Rongjie Huang Yang Liu Hengyuan Cao Jialei Wang Xize Cheng Siqi Zheng Zhou Zhao 81 8 0 01 Jun 2024
Sifting through the Noise: A Survey of Diffusion Probabilistic Models and Their Applications to Biomolecules Trevor Norton Debswapna Bhattacharya MedIm DiffM 57 2 0 31 May 2024
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation Zhuo Chen Rumen Dangovski Charlotte Loh Owen Dugan Di Luo Marin Soljacic MQ 44 9 0 31 May 2024
Empowering Visual Creativity: A Vision-Language Assistant to Image Editing Recommendations Tiancheng Shen Jun Hao Liew Long Mai Lu Qi Jiashi Feng Jiaya Jia DiffM 43 1 0 31 May 2024
Mixed Diffusion for 3D Indoor Scene Synthesis Siyi Hu Diego Martin Arroyo Stephanie Debats Fabian Manhardt Luca Carlone Federico Tombari DiffM 59 4 0 31 May 2024
Unified Directly Denoising for Both Variance Preserving and Variance Exploding Diffusion Models Jingjing Wang Dan Zhang Feng Luo DiffM 39 0 0 31 May 2024
Beyond Conventional Parametric Modeling: Data-Driven Framework for Estimation and Prediction of Time Activity Curves in Dynamic PET Imaging N. Zakariaei Arman Rahmim Eldad Haber MedIm 22 0 0 31 May 2024
Navigating Tabular Data Synthesis Research: Understanding User Needs and Tool Capabilities Maria F. Davila Sven Groen Fabian Panse Wolfram Wingerath LMTD 39 1 0 31 May 2024
Diffusion Models Are Innate One-Step Generators Bowen Zheng Tianming Yang DiffM VLM 42 11 0 31 May 2024
Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion Sampling Kidist Amde Mekonnen Nicola DallÁsen Paolo Rota 34 1 0 31 May 2024
Information Theoretic Text-to-Image Alignment Chao Wang Giulio Franzese A. Finamore Massimo Gallo Pietro Michiardi 86 0 0 31 May 2024
Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning Linjiajie Fang Ruoxue Liu Jing Zhang Wenjia Wang Bing-Yi Jing OffRL 64 5 0 31 May 2024
Improving the Training of Rectified Flows Sangyun Lee Zinan Lin Giulia Fanti 53 21 0 30 May 2024
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey Thai-Hoc Vu Senthil Kumar Jagatheesaperumal Minh-Duong Nguyen Nguyen Van Huynh Sunghwan Kim Quoc-Viet Pham 49 9 0 30 May 2024
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks Xiaoyu Wu Jiaru Zhang Yang Hua Bohan Lyu Hao Wang Tao Song Haibing Guan DiffM 76 0 0 30 May 2024
Don't drop your samples! Coherence-aware training benefits Conditional diffusion Nicolas Dufour Victor Besnier Vicky Kalogeiton David Picard DiffM 70 2 0 30 May 2024
Blind Image Restoration via Fast Diffusion Inversion Hamadi Chihaoui Abdelhak Lemkhenter Paolo Favaro 54 7 0 29 May 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux Igor Krawczuk Grigorios G. Chrysos Volkan Cevher DiffM 57 4 0 29 May 2024
Patch-enhanced Mask Encoder Prompt Image Generation Shusong Xu Peiye Liu DiffM 30 0 0 29 May 2024
Language Generation with Strictly Proper Scoring Rules Chenze Shao Fandong Meng Yijin Liu Jie Zhou 73 5 0 29 May 2024
Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning Tianle Zhang Jiayi Guan Lin Zhao Yihang Li Dongjiang Li ... Lei Sun Yue Chen Xuelong Wei Lusong Li Xiaodong He 59 2 0 29 May 2024
Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering Ido Sobol Chenfeng Xu Or Litany DiffM 48 1 0 29 May 2024
Model-Based Diffusion for Trajectory Optimization Chaoyi Pan Zeji Yi Guanya Shi Guannan Qu 57 10 0 28 May 2024
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention Lianghui Zhu Zilong Huang Bencheng Liao Jun Hao Liew Hanshu Yan Jiashi Feng Xinggang Wang 75 15 0 28 May 2024
AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained Optimization Longxiang He Li Shen Junbo Tan Xueqian Wang 66 2 0 28 May 2024
Diffusion Model Patching via Mixture-of-Prompts Seokil Ham Sangmin Woo Jin-Young Kim Hyojun Go Byeongjun Park Changick Kim VLM 47 2 0 28 May 2024
Efficient Prior Calibration From Indirect Data O. Deniz Akyildiz Mark Girolami Andrew M. Stuart Arnaud Vadeboncoeur 55 2 0 28 May 2024
Fast Samplers for Inverse Problems in Iterative Refinement Models Kushagra Pandey Ruihan Yang Stephan Mandt DiffM 71 4 0 27 May 2024
Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction Wenhao Zhang Bin Huang Shuyue Chen Xiaoling Xu Weiwen Wu Qiegen Liu 36 0 0 27 May 2024
EM Distillation for One-step Diffusion Models Sirui Xie Zhisheng Xiao Diederik P. Kingma Tingbo Hou Ying Nian Wu Kevin Patrick Murphy Tim Salimans Ben Poole Ruiqi Gao VLM DiffM 52 27 0 27 May 2024