Improved Techniques for Training Score-Based Generative Models

16 June 2020

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

50 / 227 papers shown

Title
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 24 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 Lei Bai 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 25 14 0 21 Apr 2023
Binary Latent Diffusion Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 19 13 0 10 Apr 2023
Conservative objective models are a special kind of contrastive divergence-based energy model Christopher Beckham C. Pal 21 4 0 07 Apr 2023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies Moritz Reuss M. Li Xiaogang Jia Rudolf Lioutikov DiffM 31 156 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 29 112 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 41 130 0 30 Mar 2023
Text-to-Image Diffusion Models are Zero-Shot Classifiers Kevin Clark P. Jaini DiffM VLM 22 106 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 39 21 0 27 Mar 2023
Freestyle Layout-to-Image Synthesis Han Xue Z. Huang Qianru Sun Li-Na Song Wenjun Zhang DiffM 15 62 0 25 Mar 2023
Explore the Power of Synthetic Data on Few-shot Object Detection Shaobo Lin Kun Wang Xingyu Zeng Ruili Zhao 27 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 30 177 0 21 Mar 2023
On Calibrating Diffusion Probabilistic Models Tianyu Pang Cheng Lu Chao Du Min-Bin Lin Shuicheng Yan Zhijie Deng DiffM 27 2 0 21 Feb 2023
Learning Gradually Non-convex Image Priors Using Score Matching Erich Kobler T. Pock 38 3 0 21 Feb 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 32 4 0 13 Feb 2023
Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding Takeru Oba Norimichi Ukita 19 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 16 207 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 30 28 0 07 Feb 2023
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models Xiangming Meng Y. Kabashima 34 1 0 02 Feb 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 29 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 31 10 0 28 Dec 2022
Pretrained Diffusion Models for Unified Human Motion Synthesis Jianxin Ma Shuai Bai Chang Zhou DiffM VGen AI4CE 31 31 0 06 Dec 2022
Multiscale Structure Guided Diffusion for Image Deblurring Mengwei Ren M. Delbracio Hossein Talebi Guido Gerig P. Milanfar DiffM 19 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 32 185 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 47 527 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 15 157 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 28 12 0 27 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 8 51 0 20 Nov 2022
DiffusionDet: Diffusion Model for Object Detection Shoufa Chen Pei Sun Yibing Song Ping Luo 52 442 0 17 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model Xingqian Xu Zhangyang Wang Eric Zhang Kai Wang Humphrey Shi DiffM 28 181 0 15 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 35 354 0 14 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy Michael J. Smith James E. Geach 27 32 0 07 Nov 2022
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 32 20 0 07 Nov 2022
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 23 80 0 02 Nov 2022
Diffusion-based Generative Speech Source Separation Robin Scheibler Youna Ji Soo-Whan Chung J. Byun Soyeon Choe Min-Seok Choi DiffM 19 38 0 31 Oct 2022
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement Ryosuke Sawata Naoki Murata Yuhta Takida Toshimitsu Uesaka Takashi Shibuya Shusuke Takahashi Yuki Mitsufuji DiffM 32 15 0 27 Oct 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data Jie Cao Mandi Luo Junchi Yu Mingmin Yang Ran He 27 4 0 27 Oct 2022
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems Matthew Bendel Rizwan Ahmad Philip Schniter MedIm 29 4 0 24 Oct 2022
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIP Justin N. M. Pinkney Chuan Li CLIP VLM 44 20 0 05 Oct 2022
TabDDPM: Modelling Tabular Data with Diffusion Models Akim Kotelnikov Dmitry Baranchuk Ivan Rubachev Artem Babenko DiffM 58 239 0 30 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