D2C: Diffusion-Denoising Models for Few-shot Conditional Generation

12 June 2021

Papers citing "D2C: Diffusion-Denoising Models for Few-shot Conditional Generation"

43 / 93 papers shown

Title
A Complete Recipe for Diffusion Generative Models Kushagra Pandey Stephan Mandt DiffM 43 8 0 03 Mar 2023
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models Haohe Liu Zehua Chen Yiitan Yuan Xinhao Mei Xubo Liu Danilo P. Mandic Wenwu Wang Mark D. Plumbley DiffM 35 467 0 29 Jan 2023
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper -- Michael Elad Bahjat Kawar Gregory Vaksman 23 72 0 09 Jan 2023
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models Zijian Zhang Zhou Zhao Zhijie Lin DiffM 29 52 0 26 Dec 2022
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation Yen-Chi Cheng Hsin-Ying Lee Sergey Tulyakov A. Schwing Liangyan Gui DiffM 26 244 0 08 Dec 2022
VISEM-Tracking, a human spermatozoa tracking dataset Vajira Thambawita Steven A. Hicks A. Storaas T. Nguyen J. M. Andersen O. Witczak Trine B. Haugen Hugo Lewi Hammer P. Halvorsen Michael A. Riegler 15 26 0 06 Dec 2022
PhysDiff: Physics-Guided Human Motion Diffusion Model Ye Yuan Jiaming Song Umar Iqbal Arash Vahdat Jan Kautz VGen DiffM 34 236 0 05 Dec 2022
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models Karl Holmquist Bastian Wandt DiffM 12 63 0 29 Nov 2022
Latent Space Diffusion Models of Cryo-EM Structures Karsten Kreis Tim Dockhorn Zihao Li Ellen D. Zhong DiffM 30 15 0 25 Nov 2022
Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions Gene Chou Yuval Bahat Felix Heide DiffM 29 112 0 24 Nov 2022
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 17 21 0 19 Nov 2022
Super-resolution Reconstruction of Single Image for Latent features Xin Wang Jingkai Yan Jingyong Cai Jiankang Deng Qin Qin Yao Cheng DiffM 32 8 0 16 Nov 2022
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding Zijiao Chen Jiaxin Qing Tiange Xiang Wan Lin Yue J. Zhou DiffM MedIm 27 146 0 13 Nov 2022
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 37 20 0 07 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 24 802 0 02 Nov 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data Chenlin Meng Kristy Choi Jiaming Song Stefano Ermon DiffM 192 53 0 02 Nov 2022
Conditional Diffusion with Less Explicit Guidance via Model Predictive Control Max W. Shen Ehsan Hajiramezanali Gabriele Scalia Alex Tseng N. Diamant Tommaso Biancalani Andreas Loukas 34 1 0 21 Oct 2022
Optimizing Hierarchical Image VAEs for Sample Quality Eric Luhman Troy Luhman DRL 24 4 0 18 Oct 2022
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models Yueqin Yin Lianghua Huang Yu Liu Kaiqiang Huang DiffM 38 12 0 16 Oct 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance Chen Henry Wu Fernando de la Torre DiffM 26 66 0 11 Oct 2022
On Distillation of Guided Diffusion Models Chenlin Meng Robin Rombach Ruiqi Gao Diederik P. Kingma Stefano Ermon Jonathan Ho Tim Salimans VLM DiffM 28 491 0 06 Oct 2022
JPEG Artifact Correction using Denoising Diffusion Restoration Models Bahjat Kawar Jiaming Song Stefano Ermon Michael Elad DiffM 49 53 0 23 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 194 1,143 0 10 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
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery Yezhen Cong Samarth Khanna Chenlin Meng Patrick Liu Erik Rozi Yutong He Marshall Burke David B. Lobell Stefano Ermon ViT 19 249 0 17 Jul 2022
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation Sheng-liang Li Guangcong Zheng Haibo Wang Taiping Yao Yang Chen Shoudong Ding Xi Li DiffM 23 22 0 23 Jun 2022
Diffusion models as plug-and-play priors Alexandros Graikos Nikolay Malkin Nebojsa Jojic Dimitris Samaras DiffM 39 218 0 17 Jun 2022
Latent Diffusion Energy-Based Model for Interpretable Text Modeling Peiyu Yu Sirui Xie Xiaojian Ma Baoxiong Jia Bo Pang Ruigi Gao Yixin Zhu Song-Chun Zhu Ying Nian Wu DiffM 34 81 0 13 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 183 49 0 30 May 2022
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis Yichong Leng Zehua Chen Junliang Guo Haohe Liu Jiawei Chen ... Lei He Xiang-Yang Li Tao Qin Sheng Zhao Tie-Yan Liu DiffM 53 58 0 30 May 2022
Diffusion Causal Models for Counterfactual Estimation Pedro Sanchez Sotirios A. Tsaftaris DiffM BDL 29 69 0 21 Feb 2022
From data to functa: Your data point is a function and you can treat it like one Emilien Dupont Hyunjik Kim S. M. Ali Eslami Danilo Jimenez Rezende Dan Rosenbaum TDI 3DPC 178 139 0 28 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 150 14,641 0 20 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 19 230 0 14 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 32 415 0 30 Nov 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 342 1,591 0 10 Nov 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 49 17 0 30 Jun 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,781 0 24 Feb 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models Giannis Daras Joseph Dean A. Jalal A. Dimakis DRL 188 83 0 15 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,371 0 09 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 282 10,354 0 12 Dec 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 203 885 0 07 Jun 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,547 0 25 Jan 2016