Denoising Diffusion Implicit Models

6 October 2020

Papers citing "Denoising Diffusion Implicit Models"

50 / 4,911 papers shown

Title
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 77 14,580 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 19 3,459 0 20 Dec 2021
High Fidelity Visualization of What Your Self-Supervised Representation Knows About Florian Bordes Randall Balestriero Pascal Vincent DiffM 6 61 0 16 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 19 536 0 15 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 10 230 0 14 Dec 2021
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model Boah Kim Inhwa Han Jong Chul Ye MedIm DiffM 11 63 0 09 Dec 2021
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction Hyungjin Chung Byeongsu Sim Jong Chul Ye MedIm DiffM 29 342 0 09 Dec 2021
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion Zhaoyang Lyu Zhifeng Kong Xudong Xu Liang Pan Dahua Lin DiffM BDL 214 120 0 07 Dec 2021
A Generic Approach for Enhancing GANs by Regularized Latent Optimization Yufan Zhou Chunyuan Li Changyou Chen Jinhui Xu 25 0 0 07 Dec 2021
Diffusion Models for Implicit Image Segmentation Ensembles J. Wolleb Robin Sandkühler Florentin Bieder Philippe Valmaggia Philippe C. Cattin DiffM MedIm VLM 6 263 0 06 Dec 2021
Deblurring via Stochastic Refinement Jay Whang M. Delbracio Hossein Talebi Chitwan Saharia A. Dimakis P. Milanfar DiffM 28 260 0 05 Dec 2021
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation Minghui Hu Yujie Wang Tat-Jen Cham Jianfei Yang P.N.Suganthan DiffM 11 40 0 03 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 24 413 0 30 Nov 2021
Blended Diffusion for Text-driven Editing of Natural Images Omri Avrahami Dani Lischinski Ohad Fried DiffM 11 919 0 29 Nov 2021
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance Heeseung Kim Sungwon Kim Sungroh Yoon DiffM BDL 11 107 0 23 Nov 2021
Denoising Diffusion Gamma Models Eliya Nachmani S. Robin Lior Wolf DiffM VLM 11 30 0 10 Oct 2021
Score-based diffusion models for accelerated MRI Hyungjin Chung Jong Chul Ye DiffM MedIm 31 397 0 08 Oct 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Taesung Kwon Jong Chul Ye DiffM 46 622 0 06 Oct 2021
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme Vadim Popov Ivan Vovk Vladimir Gogoryan Tasnima Sadekova Mikhail Kudinov Jiansheng Wei DiffM BDL 6 120 0 28 Sep 2021
Space Time Recurrent Memory Network Hung-Cuong Nguyen Chanho Kim Fuxin Li 20 3 0 14 Sep 2021
Bilateral Denoising Diffusion Models Max W. Y. Lam Jun Wang Rongjie Huang Dan Su Dong Yu DiffM 14 42 0 26 Aug 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Chenlin Meng Yutong He Yang Song Jiaming Song Jiajun Wu Jun-Yan Zhu Stefano Ermon DiffM 26 1,409 0 02 Aug 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Y. Tashiro Jiaming Song Yang Song Stefano Ermon BDL DiffM 11 510 0 07 Jul 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 11 843 0 07 Jul 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 41 1,056 0 01 Jul 2021
A Survey on Neural Speech Synthesis Xu Tan Tao Qin Frank Soong Tie-Yan Liu AI4TS 18 351 0 29 Jun 2021
Deep Generative Learning via Schrödinger Bridge Gefei Wang Yuling Jiao Qiang Xu Yang Wang Can Yang DiffM OT 10 90 0 19 Jun 2021
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models Tijin Yan Hongwei Zhang Tong Zhou Yufeng Zhan Yuanqing Xia DiffM AI4TS 28 38 0 18 Jun 2021
Multi-Resolution Continuous Normalizing Flows Vikram S. Voleti Chris Finlay Adam M. Oberman Christopher Pal 17 4 0 15 Jun 2021
Non Gaussian Denoising Diffusion Models Eliya Nachmani Robin San Roman Lior Wolf VLM DiffM 12 48 0 14 Jun 2021
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis Simon Rouard Gaëtan Hadjeres DiffM 17 42 0 14 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 19 117 0 12 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee Heeseung Kim Chaehun Shin Xu Tan Chang-Shu Liu Qi Meng Tao Qin Wei Chen Sung-Hoon Yoon Tie-Yan Liu DiffM 11 80 0 11 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 11 654 0 10 Jun 2021
Densely connected normalizing flows Matej Grcić Ivan Grubišić Sinisa Segvic TPM 14 58 0 08 Jun 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models Daniel Watson Jonathan Ho Mohammad Norouzi William Chan DiffM 31 134 0 07 Jun 2021
Improving Compositionality of Neural Networks by Decoding Representations to Inputs Mike Wu Noah D. Goodman Stefano Ermon AI4CE 30 3 0 01 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 19 424 0 01 Jun 2021
On Fast Sampling of Diffusion Probabilistic Models Zhifeng Kong Wei Ping DiffM 19 191 0 31 May 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 17 1,172 0 30 May 2021
Diffusion-Based Representation Learning K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 10 55 0 29 May 2021
Gotta Go Fast When Generating Data with Score-Based Models Alexia Jolicoeur-Martineau Ke Li Remi Piche-Taillefer Tal Kachman Ioannis Mitliagkas DiffM 13 213 0 28 May 2021
DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion Songxiang Liu Yuewen Cao Dan Su H. Meng DiffM 17 55 0 28 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 12 7,367 0 11 May 2021
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism Jinglin Liu Chengxi Li Yi Ren Feiyang Chen Zhou Zhao DiffM 44 256 0 06 May 2021
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness? Vikash Sehwag Saeed Mahloujifar Tinashe Handina Sihui Dai Chong Xiang M. Chiang Prateek Mittal OOD 29 126 0 19 Apr 2021
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models Hiroshi Sasaki Chris G. Willcocks T. Breckon DiffM 4 158 0 12 Apr 2021
3D Shape Generation and Completion through Point-Voxel Diffusion Linqi Zhou Yilun Du Jiajun Wu DiffM 24 510 0 08 Apr 2021
Noise Estimation for Generative Diffusion Models Robin San-Roman Eliya Nachmani Lior Wolf DiffM 15 105 0 06 Apr 2021
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling Junhyeok Lee Seungu Han DiffM 13 66 0 06 Apr 2021