Denoising Diffusion Probabilistic Models

19 June 2020

Pieter Abbeel

Papers citing "Denoising Diffusion Probabilistic Models"

50 / 6,491 papers shown

Title
Equivariant Energy-Guided SDE for Inverse Molecular Design Fan Bao Min Zhao Zhongkai Hao Pei‐Yun Li Chongxuan Li Jun Zhu DiffM 173 63 0 30 Sep 2022
Rethinking skip connection model as a learnable Markov chain Dengsheng Chen Jie Hu Wenwen Qiang Xiaoming Wei Enhua Wu BDL 6 1 0 30 Sep 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning Daesol Cho D. Shim H. J. Kim OffRL 33 11 0 30 Sep 2022
State-specific protein-ligand complex structure prediction with a multi-scale deep generative model Zhuoran Qiao Weili Nie Arash Vahdat Thomas F. Miller Anima Anandkumar DiffM 25 84 0 30 Sep 2022
$Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20$\times$ Speedup$ Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20 $\times$ Speedup Wenjun Xia Qing Lyu Ge Wang DiffM MedIm 20 4 0 29 Sep 2022
DreamFusion: Text-to-3D using 2D Diffusion Ben Poole Ajay Jain Jonathan T. Barron B. Mildenhall 47 2,304 0 29 Sep 2022
Human Motion Diffusion Model Guy Tevet Sigal Raab Brian Gordon Yonatan Shafir Daniel Cohen-Or Amit H. Bermano DiffM VGen 188 723 0 29 Sep 2022
Denoising Diffusion Probabilistic Models for Styled Walking Synthesis Edmund J. C. Findlay Hao Zhang Ziyi Chang Hubert P. H. Shum DiffM 34 6 0 29 Sep 2022
Denoising MCMC for Accelerating Diffusion-Based Generative Models Beomsu Kim Jong Chul Ye DiffM 36 13 0 29 Sep 2022
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation Boah Kim Y. Oh Jong Chul Ye DiffM MedIm 37 67 0 29 Sep 2022
Re-Imagen: Retrieval-Augmented Text-to-Image Generator Wenhu Chen Hexiang Hu Chitwan Saharia William W. Cohen VLM 114 161 0 29 Sep 2022
Compositional Score Modeling for Simulation-based Inference Tomas Geffner George Papamakarios A. Mnih 60 24 0 28 Sep 2022
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training Saehyung Lee Hyungyu Lee AAML 17 2 0 27 Sep 2022
Learning to Learn with Generative Models of Neural Network Checkpoints William S. Peebles Ilija Radosavovic Tim Brooks Alexei A. Efros Jitendra Malik UQCV 73 64 0 26 Sep 2022
On Investigating the Conservative Property of Score-Based Generative Models Chen-Hao Chao Wei-Fang Sun Bo Wun Cheng Chun-Yi Lee 17 10 0 26 Sep 2022
Face Super-Resolution Using Stochastic Differential Equations Marcelo dos Santos Rayson Laroca Rafael O. Ribeiro João Neves Hugo Proencca David Menotti DiffM 19 11 0 24 Sep 2022
UniColor: A Unified Framework for Multi-Modal Colorization with Transformer Zhitong Huang Nanxuan Zhao Jing Liao ViT 13 16 0 22 Sep 2022
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation Junyoung Seo Gyuseong Lee Seokju Cho Jiyoung Lee Seung Wook Kim DiffM 21 27 0 22 Sep 2022
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows G. Morel Lucas Drumetz Simon Benaïchouche Nicolas Courty F. Rousseau OT 26 6 0 22 Sep 2022
Text2Light: Zero-Shot Text-Driven HDR Panorama Generation Zhaoxi Chen Guangcong Wang Ziwei Liu 88 30 0 20 Sep 2022
Metal Inpainting in CBCT Projections Using Score-based Generative Model Siyuan Mei F. Fan Andreas K. Maier DiffM MedIm 196 7 0 20 Sep 2022
Neural Wavelet-domain Diffusion for 3D Shape Generation Ka-Hei Hui Ruihui Li Jingyu Hu Chi-Wing Fu DiffM 50 122 0 19 Sep 2022
Can segmentation models be trained with fully synthetically generated data? Virginia Fernandez W. H. Pinaya Pedro Borges Petru-Daniel Tudosiu M. Graham Tom Kamiel Magda Vercauteren M. Jorge Cardoso DiffM MedIm 43 44 0 17 Sep 2022
GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model Hao Cheng Mengmeng Liu Linyuan Chen Hellward Broszio Monika Sester M. Yang 44 54 0 16 Sep 2022
PET image denoising based on denoising diffusion probabilistic models Kuang Gong Keith A. Johnson G. El Fakhri Quanzheng Li T. Pan DiffM MedIm 17 72 0 13 Sep 2022
Blurring Diffusion Models Emiel Hoogeboom Tim Salimans DiffM 32 76 0 12 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 30 838 0 07 Sep 2022
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction Zhuoxu Cui Chentao Cao Shaonan Liu Qingyong Zhu Jing Cheng Haifeng Wang Yanjie Zhu Dong Liang DiffM MedIm 31 36 0 02 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models Xingchao Liu Lemeng Wu Mao Ye Qiang Liu DiffM 23 78 0 31 Aug 2022
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis Wanshu Fan Yen-Chun Chen Dongdong Chen Yu Cheng Lu Yuan Yu-Chiang Frank Wang DiffM 15 90 0 29 Aug 2022
Unsupervisedly Prompting AlphaFold2 for Few-Shot Learning of Accurate Folding Landscape and Protein Structure Prediction Jun Zhang Sirui Liu Mengyun Chen Haotian Chu Min Wang ... Y. Yang Boxin Xue Lijiang Yang Yuan Liu Y. Gao 12 5 0 20 Aug 2022
Diffusion Models Beat GANs on Topology Optimization Franccois Mazé Faez Ahmed DiffM AI4CE 20 57 0 20 Aug 2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise Arpit Bansal Eitan Borgnia Hong-Min Chu Jie S. Li Hamid Kazemi Furong Huang Micah Goldblum Jonas Geiping Tom Goldstein VLM DiffM 30 262 0 19 Aug 2022
G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model Pan Xie Qipeng Zhang Zexian Li Hao Tang Yao Du Xiaohui Hu DiffM 36 12 0 19 Aug 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance Bahjat Kawar Roy Ganz Michael Elad DiffM 19 38 0 18 Aug 2022
Score-Based Diffusion meets Annealed Importance Sampling Arnaud Doucet Will Grathwohl A. G. Matthews Heiko Strathmann DiffM 20 42 0 16 Aug 2022
Hyperparameter Optimization of Generative Adversarial Network Models for High-Energy Physics Simulations Vincent Dumont X. Ju Juliane Mueller AI4CE 17 4 0 12 Aug 2022
Speech Enhancement and Dereverberation with Diffusion-based Generative Models Julius Richter Simon Welker Jean-Marie Lemercier Bunlong Lay Timo Gerkmann DiffM 11 178 0 11 Aug 2022
High-Frequency Space Diffusion Models for Accelerated MRI Chentao Cao Zhuoxu Cui Yue Wang Shaonan Liu Taijin Chen Hairong Zheng Dong Liang Yanjie Zhu DiffM MedIm 30 50 0 10 Aug 2022
Creative Wand: A System to Study Effects of Communications in Co-Creative Settings Zhiyu Lin Rohan Agarwal Mark O. Riedl 17 7 0 04 Aug 2022
AdaCat: Adaptive Categorical Discretization for Autoregressive Models Qiyang Li Ajay Jain Pieter Abbeel OffRL 28 4 0 03 Aug 2022
Prompt-to-Prompt Image Editing with Cross Attention Control Amir Hertz Ron Mokady J. Tenenbaum Kfir Aberman Yael Pritch Daniel Cohen-Or DiffM 20 1,689 0 02 Aug 2022
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal Huayu Li G. Ditzler Janet Roveda Ao Li DiffM 14 48 0 31 Jul 2022
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models Ozan Özdenizci R. Legenstein DiffM 28 238 0 29 Jul 2022
Rewriting Geometric Rules of a GAN Sheng-Yu Wang David Bau Jun-Yan Zhu 25 35 0 28 Jul 2022
Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models Robin Rombach A. Blattmann Bjorn Ommer DiffM 14 70 0 26 Jul 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 22 3,640 0 26 Jul 2022
Domain Decorrelation with Potential Energy Ranking Sen Pei Jiaxi Sun Richard Yi Da Xu Shiming Xiang Gaofeng Meng OOD 19 4 0 25 Jul 2022
Intention-Conditioned Long-Term Human Egocentric Action Forecasting Esteve Valls Mascaro Hyemin Ahn Dongheui Lee EgoV 19 28 0 25 Jul 2022
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images Zhengqi Li Qianqian Wang Noah Snavely Angjoo Kanazawa VGen 22 59 0 22 Jul 2022