Improved Techniques for Training Score-Based Generative Models

16 June 2020

Papers citing "Improved Techniques for Training Score-Based Generative Models"

50 / 248 papers shown

Title
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation Tony Tohme Mohsen Sadr K. Youcef-Toumi N. Hadjiconstantinou 30 3 0 07 Jun 2023
Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust Yuxin Wen John Kirchenbauer Jonas Geiping Tom Goldstein WIGM 46 100 0 31 May 2023
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors Paul S. Scotti Atmadeep Banerjee J. Goode Stepan Shabalin A. Nguyen ... Nathalie Verlinde Elad Yundler David Weisberg K. A. Norman Tanishq Mathew Abraham DiffM 36 106 0 29 May 2023
Towards Consistent Video Editing with Text-to-Image Diffusion Models Zicheng Zhang Bonan Li Xuecheng Nie Congying Han Tiande Guo Luoqi Liu DiffM 20 24 0 27 May 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives Chen-Hao Chao Wei-Fang Sun Yen-Chang Hsu Z. Kira Chun-Yi Lee 25 2 0 24 May 2023
DiffUCD:Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model Xiangrong Zhang Shunli Tian Guanchun Wang Huiyu Zhou Licheng Jiao DiffM 50 6 0 21 May 2023
Few-shot 3D Shape Generation Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 28 1 0 19 May 2023
Moment Matching Denoising Gibbs Sampling Mingtian Zhang Alex Hawkins-Hooker Brooks Paige David Barber DiffM 26 3 0 19 May 2023
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion Chao-Hong Tan Jia-Chen Gu Zhen-Hua Ling DiffM 27 0 0 19 May 2023
Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion Nicolas Zilberstein A. Sabharwal Santiago Segarra DiffM 39 7 0 08 May 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 29 2 0 25 Apr 2023
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation Zeyu Lu Chengyue Wu Xinyuan Chen Yaohui Wang Junlin Wu Yu Qiao Xihui Liu DiffM 29 15 0 24 Apr 2023
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference Florentin Coeurdoux N. Dobigeon P. Chainais 27 14 0 21 Apr 2023
Binary Latent Diffusion Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 29 13 0 10 Apr 2023
Conservative objective models are a special kind of contrastive divergence-based energy model Christopher Beckham C. Pal 35 4 0 07 Apr 2023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies Moritz Reuss M. Li Xiaogang Jia Rudolf Lioutikov DiffM 34 156 0 05 Apr 2023
Generative Diffusion Prior for Unified Image Restoration and Enhancement Ben Fei Zhaoyang Lyu Liang Pan Junzhe Zhang Weidong Yang Tian-jian Luo Bo-Wen Zhang Bo Dai DiffM 37 176 0 03 Apr 2023
Diffusion Action Segmentation Dao-jun Liu Qiyue Li A. Dinh Ting Jiang Mubarak Shah Chan Xu VGen DiffM 19 68 0 31 Mar 2023
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models Wen Wang Yan Jiang K. Xie Zide Liu Hao Chen Yue Cao Xinlong Wang Chunhua Shen DiffM VGen 34 112 0 30 Mar 2023
DDP: Diffusion Model for Dense Visual Prediction Yuanfeng Ji Zhe Chen Enze Xie Lanqing Hong Xihui Liu Zhaoqiang Liu Tong Lu Zhenguo Li Ping Luo DiffM VLM 47 130 0 30 Mar 2023
Text-to-Image Diffusion Models are Zero-Shot Classifiers Kevin Clark P. Jaini DiffM VLM 27 107 0 27 Mar 2023
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion Sauradip Nag Xiatian Zhu Jiankang Deng Yi-Zhe Song Tao Xiang DiffM VGen 41 21 0 27 Mar 2023
Freestyle Layout-to-Image Synthesis Han Xue Z. Huang Qianru Sun Li-Na Song Wenjun Zhang DiffM 17 62 0 25 Mar 2023
Explore the Power of Synthetic Data on Few-shot Object Detection Shaobo Lin Kun Wang Xingyu Zeng Ruili Zhao 32 32 0 23 Mar 2023
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models Lukas Höllein Ang Cao Andrew Owens Justin Johnson Matthias Nießner DiffM 38 177 0 21 Mar 2023
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection Hui Zhang Zheng Wang Dan Zeng Zuxuan Wu Yu-Gang Jiang DiffM 37 24 0 15 Mar 2023
TextIR: A Simple Framework for Text-based Editable Image Restoration Yun-Hao Bai Cairong Wang Shuzhao Xie Chao Dong Chun Yuan Zhi Wang DiffM 30 15 0 28 Feb 2023
On Calibrating Diffusion Probabilistic Models Tianyu Pang Cheng Lu Chao Du Min-Bin Lin Shuicheng Yan Zhijie Deng DiffM 38 2 0 21 Feb 2023
Learning Gradually Non-convex Image Priors Using Score Matching Erich Kobler T. Pock 40 3 0 21 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization Zhiqing Sun Yiming Yang DiffM 33 118 0 16 Feb 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 38 4 0 13 Feb 2023
Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding Takeru Oba Norimichi Ukita 23 3 0 10 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min-Bin Lin Weiwei Liu Shuicheng Yan DiffM 24 208 0 09 Feb 2023
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control Jacopo Teneggi Matthew Tivnan J. W. Stayman Jeremias Sulam DiffM 35 28 0 07 Feb 2023
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models Xiangming Meng Y. Kabashima 45 1 0 02 Feb 2023
Image Restoration with Mean-Reverting Stochastic Differential Equations Ziwei Luo Fredrik K. Gustafsson Zheng Zhao Jens Sjölund Thomas B. Schon DiffM 44 156 0 27 Jan 2023
Removing Structured Noise with Diffusion Models Tristan S.W. Stevens Hans van Gorp F. C. Meral Junseob Shin Jason Yu Jean-Luc Robert Ruud J. G. van Sloun DiffM 31 0 0 20 Jan 2023
A survey and taxonomy of loss functions in machine learning Lorenzo Ciampiconi A. Elwood Marco Leonardi A. Mohamed A. Rozza MU FaML 9 25 0 13 Jan 2023
Exploring Vision Transformers as Diffusion Learners He Cao Jianan Wang Tianhe Ren Xianbiao Qi Yihao Chen Yuan Yao L. Zhang 44 10 0 28 Dec 2022
Point-E: A System for Generating 3D Point Clouds from Complex Prompts Alex Nichol Heewoo Jun Prafulla Dhariwal Pamela Mishkin Mark Chen DiffM 18 584 0 16 Dec 2022
Pretrained Diffusion Models for Unified Human Motion Synthesis Jianxin Ma Shuai Bai Chang Zhou DiffM VGen AI4CE 33 31 0 06 Dec 2022
Multiscale Structure Guided Diffusion for Image Deblurring Mengwei Ren M. Delbracio Hossein Talebi Guido Gerig P. Milanfar DiffM 21 59 0 04 Dec 2022
DiffRF: Rendering-Guided 3D Radiance Field Diffusion Norman Muller Yawar Siddiqui Lorenzo Porzi Samuel Rota Buló Peter Kontschieder Matthias Nießner 43 185 0 02 Dec 2022
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation Haochen Wang Xiaodan Du Jiahao Li Raymond A. Yeh Gregory Shakhnarovich DiffM 57 527 0 01 Dec 2022
3D Neural Field Generation using Triplane Diffusion J. Shue E. R. Chan Ryan Po Zachary Ankner Jiajun Wu Gordon Wetzstein DiffM 42 232 0 30 Nov 2022
Post-training Quantization on Diffusion Models Yuzhang Shang Zhihang Yuan Bin Xie Bingzhe Wu Yan Yan DiffM MQ 15 158 0 28 Nov 2022
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene Animesh Karnewar Oliver Wang Tobias Ritschel Niloy Mitra 30 12 0 27 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 10 51 0 20 Nov 2022
DiffusionDet: Diffusion Model for Object Detection Shoufa Chen Pei Sun Yibing Song Ping Luo 63 443 0 17 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 17 39 0 17 Nov 2022