Improved Techniques for Training Score-Based Generative Models

16 June 2020

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

50 / 261 papers shown

Title
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 15 159 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 52 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
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model Xingqian Xu Zhangyang Wang Eric Zhang Kai Wang Humphrey Shi DiffM 35 183 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 46 357 0 14 Nov 2022
Unsupervised vocal dereverberation with diffusion-based generative models Koichi Saito Naoki Murata Toshimitsu Uesaka Chieh-Hsin Lai Yuhta Takida Takao Fukui Yuki Mitsufuji DiffM 42 23 0 08 Nov 2022
Posterior samples of source galaxies in strong gravitational lenses with score-based priors Alexandre Adam A. Coogan Nikolay Malkin Ronan Legin Laurence Perreault Levasseur Y. Hezaveh Yoshua Bengio DiffM 24 22 0 07 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy Michael J. Smith James E. Geach 35 32 0 07 Nov 2022
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 37 20 0 07 Nov 2022
Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis Lukas Struppek Dominik Hintersdorf Kristian Kersting SILM 22 36 0 04 Nov 2022
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 28 80 0 02 Nov 2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Yogesh Balaji Seungjun Nah Xun Huang Arash Vahdat Jiaming Song ... Timo Aila S. Laine Bryan Catanzaro Tero Karras Xuan Li VLM MoE 26 803 0 02 Nov 2022
Quantized Compressed Sensing with Score-based Generative Models Xiangming Meng Y. Kabashima DiffM 24 11 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 24 39 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 34 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 35 4 0 27 Oct 2022
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems Matthew Bendel Rizwan Ahmad Philip Schniter MedIm 37 4 0 24 Oct 2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 61 33 0 10 Oct 2022
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIP Justin N. M. Pinkney Chuan Li CLIP VLM 52 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 205 724 0 29 Sep 2022
On Investigating the Conservative Property of Score-Based Generative Models Chen-Hao Chao Wei-Fang Sun Bo Wun Cheng Chun-Yi Lee 34 10 0 26 Sep 2022
Soft Diffusion: Score Matching for General Corruptions Giannis Daras M. Delbracio Hossein Talebi A. Dimakis P. Milanfar DiffM 64 106 0 12 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 43 845 0 07 Sep 2022
TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification Min-Yu Wu Fangwei Zhong Yulong Xia Hao Dong OOD 35 17 0 02 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 45 36 0 02 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,304 0 02 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models Xingchao Liu Lemeng Wu Mao Ye Qiang Liu DiffM 28 79 0 31 Aug 2022
Understanding Diffusion Models: A Unified Perspective Calvin Luo DiffM 19 332 0 25 Aug 2022
GANs and Closures: Micro-Macro Consistency in Multiscale Modeling Ellis R. Crabtree J. M. Bello-Rivas Andrew L. Ferguson Ioannis G. Kevrekidis AI4CE 19 4 0 23 Aug 2022
One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction Hong Peng Chenbo Jiang Jing Cheng Minghui Zhang Shanshan Wang Dong Liang Qiegen Liu DiffM MedIm 47 17 0 15 Aug 2022
Speech Enhancement and Dereverberation with Diffusion-based Generative Models Julius Richter Simon Welker Jean-Marie Lemercier Bunlong Lay Timo Gerkmann DiffM 13 179 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 32 50 0 10 Aug 2022
Wavelet Score-Based Generative Modeling Florentin Guth Simon Coste Valentin De Bortoli S. Mallat DiffM 24 52 0 09 Aug 2022
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models Ozan Özdenizci Robert Legenstein DiffM 36 241 0 29 Jul 2022
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech Rongjie Huang Zhou Zhao Huadai Liu Jinglin Liu Chenye Cui Yi Ren DiffM 44 194 0 13 Jul 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems Giannis Daras Y. Dagan A. Dimakis C. Daskalakis BDL 31 15 0 18 Jun 2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching Cheng Lu Kaiwen Zheng Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 36 81 0 16 Jun 2022
CARD: Classification and Regression Diffusion Models Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 49 109 0 15 Jun 2022
Convergence for score-based generative modeling with polynomial complexity Holden Lee Jianfeng Lu Yixin Tan DiffM 18 126 0 13 Jun 2022
Intra-agent speech permits zero-shot task acquisition Chen Yan Federico Carnevale Petko Georgiev Adam Santoro Aurelia Guy Alistair Muldal Chia-Chun Hung Josh Abramson Timothy Lillicrap Greg Wayne LM&Ro 36 9 0 07 Jun 2022
Score-Based Generative Models Detect Manifolds Jakiw Pidstrigach DiffM 27 72 0 02 Jun 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 213 51 0 27 May 2022
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation Vikram S. Voleti Alexia Jolicoeur-Martineau Christopher Pal DiffM VGen 13 291 0 19 May 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu Juntao Li Ping Li 24 50 0 13 May 2022
Conditional Injective Flows for Bayesian Imaging AmirEhsan Khorashadizadeh K. Kothari Leonardo Salsi Ali Aghababaei Harandi Maarten V. de Hoop Ivan Dokmanić MedIm 26 16 0 15 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 80 6,650 0 13 Apr 2022