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Diffusion Models Beat GANs on Image Synthesis

11 May 2021

Papers citing "Diffusion Models Beat GANs on Image Synthesis"

50 / 5,134 papers shown

Title
Directional diffusion models for graph representation learning Run Yang Yuling Yang Fan Zhou Qiang Sun DiffM 49 14 0 22 Jun 2023
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability Xiaolin Fang Caelan Reed Garrett Clemens Eppner Tomás Lozano-Pérez L. Kaelbling Dieter Fox DiffM 108 17 0 22 Jun 2023
Towards More Realistic Membership Inference Attacks on Large Diffusion Models Jan Dubiñski Antoni Kowalczuk Stanislaw Pawlak Przemyslaw Rokita Tomasz Trzciñski P. Morawiecki 72 30 0 22 Jun 2023
Wind Noise Reduction with a Diffusion-based Stochastic Regeneration Model Jean-Marie Lemercier J. Thiemann Raphael Koning Timo Gerkmann DiffM 75 2 0 22 Jun 2023
DiffWA: Diffusion Models for Watermark Attack Xinyu Li WIGM 39 5 0 22 Jun 2023
DreamEdit: Subject-driven Image Editing Tianle Li Max Ku Cong Wei Wenhu Chen EGVM 83 29 0 22 Jun 2023
Semi-Implicit Denoising Diffusion Models (SIDDMs) Yanwu Xu Min Gong Shaoan Xie Wei Wei Matthias Grundmann Kayhan Batmanghelich Tingbo Hou DiffM 69 14 0 21 Jun 2023
DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation Yukun Huang Jianan Wang Yukai Shi Zhengjun Zha Xianbiao Qi Lei Zhang 104 64 0 21 Jun 2023
DiffuseIR:Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images Mingjie Pan Yulu Gan Fangxu Zhou Jiaming Liu Aimin Wang Shanghang Zhang Dawei Li MedIm DiffM 81 7 0 21 Jun 2023
Ambigram Generation by A Diffusion Model T. Shirakawa Seiichi Uchida DiffM 60 4 0 21 Jun 2023
Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning Huiguo He Tianfu Wang Huan Yang Jianlong Fu N. Yuan Jian Yin Hongyang Chao Qi Zhang EGVM 152 10 0 20 Jun 2023
Pushing the Limits of 3D Shape Generation at Scale Wang Yu Xuelin Qian Jingyang Huo Tiejun Huang Bo Zhao Yanwei Fu 113 11 0 20 Jun 2023
Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards A. V. Meekeren Maya Aghaei K. Dijkstra DiffM 60 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 82 2 0 20 Jun 2023
Eliminating Lipschitz Singularities in Diffusion Models Zhantao Yang Ruili Feng Han Zhang Yujun Shen Kaixuan Zhu ... Yifei Zhang Yu Liu Deli Zhao Jingren Zhou Fan Cheng 57 12 0 20 Jun 2023
GD-VDM: Generated Depth for better Diffusion-based Video Generation Ariel Lapid Idan Achituve Lior Bracha Ethan Fetaya DiffM VGen 130 9 0 19 Jun 2023
Diffusion model based data generation for partial differential equations Rucha Apte Sheel Nidhan Rishikesh Ranade Jay Pathak DiffM 142 6 0 19 Jun 2023
Conditional Text Image Generation with Diffusion Models Yuanzhi Zhu Zhaohai Li Tianwei Wang Mengchao He Cong Yao VLM DiffM 128 48 0 19 Jun 2023
Image Harmonization with Diffusion Model Jia-jin Li Jian Wang Chen Wang Jinjun Xiong DiffM 62 3 0 17 Jun 2023
Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback Shenghuan Sun Gregory M. Goldgof A. Butte Ahmed Alaa MedIm 73 14 0 16 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 229 117 0 16 Jun 2023
Towards Better Certified Segmentation via Diffusion Models Othmane Laousy Alexandre Araujo G. Chassagnon M. Revel S. Garg Farshad Khorrami Maria Vakalopoulou DiffM 86 2 0 16 Jun 2023
Drag-guided diffusion models for vehicle image generation Nikos Arechiga Frank Permenter Binyang Song Chenyang Yuan DiffM 82 12 0 16 Jun 2023
AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation Yifei Zeng Yuanxun Lu Xinya Ji Yao Yao Hao Zhu Xun Cao DiffM 74 30 0 16 Jun 2023
Understanding Deep Generative Models with Generalized Empirical Likelihoods Suman V. Ravuri Mélanie Rey S. Mohamed M. Deisenroth VLM 72 5 0 16 Jun 2023
The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models Roy Voetman Maya Aghaei K. Dijkstra DiffM 101 12 0 16 Jun 2023
Evaluating Data Attribution for Text-to-Image Models Sheng-Yu Wang Alexei A. Efros Jun-Yan Zhu Richard Y. Zhang TDI 97 33 0 15 Jun 2023
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data Stephanie Fu Netanel Y. Tamir Shobhita Sundaram Lucy Chai Richard Y. Zhang Tali Dekel Phillip Isola EGVM 100 123 0 15 Jun 2023
Generative Proxemics: A Prior for 3D Social Interaction from Images Lea Müller Vickie Ye Georgios Pavlakos Michael J. Black Angjoo Kanazawa DiffM 85 30 0 15 Jun 2023
ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion Models Da Chen DiffM 86 4 0 15 Jun 2023
DreamHuman: Animatable 3D Avatars from Text Nikos Kolotouros Thiemo Alldieck Andrei Zanfir Eduard Gabriel Bazavan Mihai Fieraru C. Sminchisescu 111 101 0 15 Jun 2023
Fast Training of Diffusion Models with Masked Transformers Hongkai Zheng Weili Nie Arash Vahdat Anima Anandkumar DiffM 118 73 0 15 Jun 2023
Conditional Human Sketch Synthesis with Explicit Abstraction Control Da Chen DiffM 65 0 0 15 Jun 2023
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models Gen Li Yuting Wei Yuxin Chen Yuejie Chi DiffM 115 62 0 15 Jun 2023
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers Chandramouli Shama Sastry Sri Harsha Dumpala Sageev Oore 73 2 0 15 Jun 2023
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models Tomer Amit Shmuel Shichrur Tal Shaharabany Lior Wolf MedIm DiffM 78 11 0 15 Jun 2023
Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification Jingyi Zhou Jiamu Sheng Jiayuan Fan Peng Ye Tongdi He Bin Wang Tao Chen DiffM 72 19 0 15 Jun 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models En-hao Liu Xuefei Ning Zinan Lin Huazhong Yang Yu Wang 116 40 0 15 Jun 2023
Deep Generative Models for Decision-Making and Control Michael Janner 78 1 0 15 Jun 2023
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models Yingheng Wang Yair Schiff Aaron Gokaslan Weishen Pan Fei Wang Chris De Sa Volodymyr Kuleshov DiffM 112 41 0 14 Jun 2023
Norm-guided latent space exploration for text-to-image generation Dvir Samuel Rami Ben-Ari N. Darshan Haggai Maron Gal Chechik DiffM 104 26 0 14 Jun 2023
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis Zhiyu Jin Xuli Shen Bin Li Xiangyang Xue 82 38 0 14 Jun 2023
High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models Ruiyang Zhao Xi Peng Varun A. Kelkar M. Anastasio F. Lam GAN MedIm 74 4 0 14 Jun 2023
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image Mingjian Zhu Hanting Chen Qiang Yan Xu Huang Guanyu Lin Wei Li Zhaopeng Tu Hailin Hu Jie Hu Yunhe Wang VLM 90 144 0 14 Jun 2023
Distribution Shift Inversion for Out-of-Distribution Prediction Runpeng Yu Songhua Liu Xingyi Yang Xinchao Wang OODD 100 19 0 14 Jun 2023
Data Augmentation for Seizure Prediction with Generative Diffusion Model Kai Shu Yuchang Zhao Le Wu Aiping Liu Ruobing Qian Xun Chen DiffM 73 13 0 14 Jun 2023
GBSD: Generative Bokeh with Stage Diffusion Jieren Deng Xiaoxia Zhou Hao Tian Zhihong Pan Derek Aguiar DiffM 61 1 0 14 Jun 2023
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation Ruoyu Wang Yongqi Yang Zhihao Qian Ye Zhu Yuehua Wu DiffM 101 14 0 14 Jun 2023
DORSal: Diffusion for Object-centric Representations of Scenes et al Allan Jabri Sjoerd van Steenkiste Emiel Hoogeboom Mehdi S. M. Sajjadi Thomas Kipf 89 16 0 13 Jun 2023
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data Stanislaw Szymanowicz Christian Rupprecht Andrea Vedaldi 102 103 0 13 Jun 2023