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Elucidating the Exposure Bias in Diffusion Models

29 August 2023

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Papers citing "Elucidating the Exposure Bias in Diffusion Models"

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Title
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception Ziqi Pang Xin Xu Yu-Xiong Wang DiffM 179 0 0 15 Apr 2025
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models Shuchen Xue Mingyang Yi Weijian Luo Shifeng Zhang Jiacheng Sun Zechao Li Zhi-Ming Ma DiffM 99 52 0 10 Sep 2023
On Error Propagation of Diffusion Models Yangming Li M. Schaar DiffM 75 15 0 09 Aug 2023
Restart Sampling for Improving Generative Processes Yilun Xu Mingyang Deng Xiang Cheng Yonglong Tian Ziming Liu Tommi Jaakkola DiffM VLM 80 56 0 26 Jun 2023
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps Mingxiao Li Tingyu Qu Ruicong Yao Wei Sun Marie-Francine Moens DiffM 79 42 0 24 May 2023
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation Guangcong Zheng Xianpan Zhou Xuewei Li Zhongang Qi Ying Shan Xi Li DiffM 82 190 0 30 Mar 2023
Adding Conditional Control to Text-to-Image Diffusion Models Lvmin Zhang Anyi Rao Maneesh Agrawala AI4CE 182 4,168 1 10 Feb 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models Wenliang Zhao Lujia Bai Yongming Rao Jie Zhou Jiwen Lu DiffM 97 225 0 09 Feb 2023
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models Yilun Xu Ziming Liu Yonglong Tian Shangyuan Tong Max Tegmark Tommi Jaakkola AI4CE DiffM 67 72 0 08 Feb 2023
Input Perturbation Reduces Exposure Bias in Diffusion Models Mang Ning E. Sangineto Angelo Porrello Simone Calderara Rita Cucchiara DiffM 70 67 0 27 Jan 2023
GLIGEN: Open-Set Grounded Text-to-Image Generation Yuheng Li Haotian Liu Qingyang Wu Fangzhou Mu Jianwei Yang Jianfeng Gao Chunyuan Li Yong Jae Lee VLM 121 601 1 17 Jan 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 118 2,418 0 19 Dec 2022
Imagen Video: High Definition Video Generation with Diffusion Models Jonathan Ho William Chan Chitwan Saharia Jay Whang Ruiqi Gao ... Diederik P. Kingma Ben Poole Mohammad Norouzi David J. Fleet Tim Salimans VGen 171 1,541 0 05 Oct 2022
Poisson Flow Generative Models Yilun Xu Ziming Liu M. Tegmark Tommi Jaakkola 157 89 0 22 Sep 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 196 3,963 0 26 Jul 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jiacheng Sun Jun Zhu Bo Zhang DiffM 76 78 0 15 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 227 1,458 0 02 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 215 2,022 0 01 Jun 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 461 6,067 0 23 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 413 6,908 0 13 Apr 2022
Dynamic Dual-Output Diffusion Models Yaniv Benny Lior Wolf DiffM 68 26 0 08 Mar 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds Luping Liu Yi Ren Zhijie Lin Zhou Zhao DiffM 107 652 0 20 Feb 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jun Zhu Bo Zhang DiffM 93 348 0 17 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 493 15,734 0 20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 364 3,627 0 20 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 100 558 0 15 Dec 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Jooyoung Choi Sungwon Kim Yonghyun Jeong Youngjune Gwon Sungroh Yoon DiffM 142 724 0 06 Aug 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 268 7,938 0 11 May 2021
3D Shape Generation and Completion through Point-Voxel Diffusion Linqi Zhou Yilun Du Jiajun Wu DiffM 120 527 0 08 Apr 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 352 3,716 0 18 Feb 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 105 320 0 28 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 353 6,566 0 26 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 673 41,430 0 22 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 289 7,469 0 06 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 161 1,468 0 21 Sep 2020
WaveGrad: Estimating Gradients for Waveform Generation Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi William Chan DiffM BDL 111 793 0 02 Sep 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 712 18,310 0 19 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 170 1,887 0 11 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 513 10,591 0 17 Feb 2020
Generalization in Generation: A closer look at Exposure Bias Florian Schmidt 94 89 0 01 Oct 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,956 0 12 Jul 2019
Improved Precision and Recall Metric for Assessing Generative Models Tuomas Kynkaanniemi Tero Karras S. Laine J. Lehtinen Timo Aila EGVM 105 865 0 15 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 617 10,590 0 12 Dec 2018
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets P. Chrabaszcz I. Loshchilov Frank Hutter SSeg OOD 170 649 0 27 Jul 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 3,719 0 26 May 2016
Sequence Level Training with Recurrent Neural Networks MarcÁurelio Ranzato S. Chopra Michael Auli Wojciech Zaremba 106 1,620 0 20 Nov 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 107 2,346 0 10 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,378 0 18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 312 7,016 0 12 Mar 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 247 8,426 0 28 Nov 2014