Fetching the paper…
Reading the bibliography…
Diffusion models have achieved state-of-the-art results on many modalities including images, speech, and video.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
Earlier work this paper cites.
Application of high-resolution stereo satellite images to detailed landslide hazard assessment
Janet E Nichol, Ahmed Shaker, and Man-Sing Wong · 2006
Earlier work this paper cites.
Evaluating urban expansion and land use change in shijiazhuang, china, by using gis and remote sensing
Jieying Xiao, Yanjun Shen, Jingfeng Ge, Ryutaro Tateishi, Changyuan Tang, Yanqing Liang, and Zhiying Huang · 2006
Earlier work this paper cites.
Evaluation of corona and ikonos high resolution satellite imagery for archaeological prospection in western syria
Anthony Beck, Graham Philip, Maamoun Abdulkarim, and Daniel Donoghue · 2007
Earlier work this paper cites.
Application of high spatial resolution satellite imagery for riparian and forest ecosystem classification
Kasper Johansen, Nicholas C Coops, Sarah E Gergel, and Yulia Stange · 2007
Earlier work this paper cites.
Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2010
Earlier work this paper cites.
Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2011
Earlier work this paper cites.
High-resolution satellite imagery is an important yet underutilized resource in conservation biology
Sarah A Boyle, Christina M Kennedy, Julio Torres, Karen Colman, Pastor E Pérez-Estigarribia, and Noé U de la Sancha · 2014
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
Image super-resolution using deep convolutional networks
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang · 2015
Earlier work this paper cites.
Generation of spectral–temporal response surfaces by combining multispectral satellite and hyperspectral uav imagery for precision agriculture applications
Caroline M Gevaert, Juha Suomalainen, Jing Tang, and Lammert Kooistra · 2015
Earlier work this paper cites.
Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
Earlier work this paper cites.
Combining satellite imagery and machine learning to predict poverty
Neal Jean, Marshall Burke, Michael Xie, W Matthew Davis, David B Lobell, and Stefano Ermon · 2016
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Earlier work this paper cites.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Earlier work this paper cites.
On convergence and stability of gans
Naveen Kodali, Jacob Abernethy, James Hays, and Zsolt Kira · 2017
Earlier work this paper cites.
Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
Earlier work this paper cites.
Semi-automatic mapping of anthropogenic impervious surfaces in an urban/suburban area using landsat 8 satellite data
Atul Kant Piyoosh and Sanjay Kumar Ghosh · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Deep gaussian process for crop yield prediction based on remote sensing data
Jiaxuan You, Xiaocheng Li, Melvin Low, David Lobell, and Stefano Ermon · 2017
Earlier work this paper cites.
Functional map of the world
Gordon Christie, Neil Fendley, James Wilson, and Ryan Mukherjee · 2018
Earlier work this paper cites.
Deep back-projection networks for super-resolution
Muhammad Haris, Gregory Shakhnarovich, and Norimichi Ukita · 2018
Earlier work this paper cites.
xview: Objects in context in overhead imagery
Darius Lam, Richard Kuzma, Kevin McGee, Samuel Dooley, Michael Laielli, Matthew Klaric, Yaroslav Bulatov, and Brendan McCord · 2018
Earlier work this paper cites.
Spacenet: A remote sensing dataset and challenge series
Adam Van Etten, Dave Lindenbaum, and Todd M Bacastow · 2018
Earlier work this paper cites.
Deep transfer learning for crop yield prediction with remote sensing data
Anna X Wang, Caelin Tran, Nikhil Desai, David Lobell, and Stefano Ermon · 2018
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Earlier work this paper cites.
xbd: A dataset for assessing building damage from satellite imagery
Ritwik Gupta, Richard Hosfelt, Sandra Sajeev, Nirav Patel, Bryce Goodman, Jigar Doshi, Eric Heim, Howie Choset, and Matthew Gaston · 2019
Earlier work this paper cites.
Generating high-quality and high-resolution seamless satellite imagery for large-scale urban regions
Xinghua Li, Zhiwei Li, Ruitao Feng, Shuang Luo, Chi Zhang, Menghui Jiang, and Huanfeng Shen · 2019
Earlier work this paper cites.
Semantic segmentation of crop type in africa: A novel dataset and analysis of deep learning methods
Rose M Rustowicz, Robin Cheong, Lijing Wang, Stefano Ermon, Marshall Burke, and David Lobell · 2019
Earlier work this paper cites.
Super-resolution of remote sensing images via a dense residual generative adversarial network
Wen Ma, Zongxu Pan, Feng Yuan, and Bin Lei · 2019
Cited alongside, same era.
The effects of super-resolution on object detection performance in satellite imagery
Jacob Shermeyer and Adam Van Etten · 2019
Cited alongside, same era.
Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
Cited alongside, same era.
Generating interpretable poverty maps using object detection in satellite images
Kumar Ayush, Burak Uzkent, Marshall Burke, David Lobell, and Stefano Ermon · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Open high-resolution satellite imagery: The worldstrat dataset–with application to super-resolution
Julien Cornebise, Ivan Oršolić, and Freddie Kalaitzis · 2022
Later among the works it cites.
Imagen video: High definition video generation with diffusion models
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P Kingma, Ben Poole, Mohammad Norouzi, David J Fleet, et al · 2022
Later among the works it cites.
Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall · 2022
Later among the works it cites.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Later among the works it cites.
Laion-5b: An open large-scale dataset for training next generation image-text models
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, and Bryan Catanzaro · 2020
Cited alongside, same era.
Small-object detection in remote sensing images with end-to-end edge-enhanced gan and object detector network
Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, and Dennis Chao · 2020
Cited alongside, same era.
Self-attention for raw optical satellite time series classification
Marc Rußwurm and Marco Körner · 2020
Cited alongside, same era.
Improved techniques for training score-based generative models
Yang Song and Stefano Ermon · 2020
Cited alongside, same era.
Ultra-dense gan for satellite imagery super-resolution
Zhongyuan Wang, Kui Jiang, Peng Yi, Zhen Han, and Zheng He · 2020
Cited alongside, same era.
High-resolution satellite imagery applications in crop phenotyping: an overview
Chongyuan Zhang, Afef Marzougui, and Sindhuja Sankaran · 2020
Cited alongside, same era.
Using satellite imagery to understand and promote sustainable development
Marshall Burke, Anne Driscoll, David B Lobell, and Stefano Ermon · 2021
Cited alongside, same era.
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
Later among the works it cites.
Masked conditional video diffusion for prediction, generation, and interpolation
Vikram Voleti, Alexia Jolicoeur-Martineau, and Christopher Pal · 2022
Later among the works it cites.
Diffusers: State-of-the-art diffusion models
Patrick von Platen, Suraj Patil, Anton Lozhkov, Pedro Cuenca, Nathan Lambert, Kashif Rasul, Mishig Davaadorj, and Thomas Wolf · 2022
Later among the works it cites.
Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation
Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Weixian Lei, Yuchao Gu, Wynne Hsu, Ying Shan, Xiaohu Qie, and Mike Zheng Shou · 2022
Later among the works it cites.
Measurement-conditioned denoising diffusion probabilistic model for under-sampled medical image reconstruction
Yutong Xie and Quanzheng Li · 2022
Later among the works it cites.
Geodiff: A geometric diffusion model for molecular conformation generation
Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, and Jian Tang · 2022
Later among the works it cites.
Magicvideo: Efficient video generation with latent diffusion models
Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, and Jiashi Feng · 2022
Later among the works it cites.
Latent-shift: Latent diffusion with temporal shift for efficient text-to-video generation
Jie An, Songyang Zhang, Harry Yang, Sonal Gupta, Jia-Bin Huang, Jiebo Luo, and Xi Yin · 2023
Closest in time.
URL https://satlas.allen.ai/superres
Favyen Bastani, Piper Wolters, Ani Kembhavi, Jon Borchardt, Arnavi Chheda, Aaron Sarnat, and Michael Schmitz, 2023 · 2023
Closest in time.
Align your latents: High-resolution video synthesis with latent diffusion models
Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, and Karsten Kreis · 2023
Closest in time.
Instructpix2pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A Efros · 2023
Closest in time.
Generative novel view synthesis with 3d-aware diffusion models
Eric R Chan, Koki Nagano, Matthew A Chan, Alexander W Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, and Gordon Wetzstein · 2023
Closest in time.
Denoising diffusion probabilistic models for 3d medical image generation
Firas Khader, Gustav Müller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Maximilian Schulze-Hagen, Philipp Schad, Sandy Engelhardt, Bettina Baeßler, Sebastian Foersch, et al · 2023
Closest in time.
Multi-concept customization of text-to-image diffusion
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, and Jun-Yan Zhu · 2023
Closest in time.
Mask conditional synthetic satellite imagery
Van Anh Le, Varshini Reddy, Zixi Chen, Mengyuan Li, Xinran Tang, Anthony Ortiz, Simone Fobi Nsutezo, and Caleb Robinson · 2023
Closest in time.
Magic3d: High-resolution text-to-3d content creation
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, and Tsung-Yi Lin · 2023
Closest in time.
Cones: Concept neurons in diffusion models for customized generation
Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, and Yang Cao · 2023
Closest in time.
Refusion: Enabling large-size realistic image restoration with latent-space diffusion models
Ziwei Luo, Fredrik K Gustafsson, Zheng Zhao, Jens Sjölund, and Thomas B Schön · 2023
Closest in time.
Chong Mou, Xintao Wang, Liangbin Xie, Jian Zhang, Zhongang Qi, Ying Shan, and Xiaohu Qie · 2023
Closest in time.
Multi-spectral multi-image super-resolution of sentinel-2 with radiometric consistency losses and its effect on building delineation
Muhammed T Razzak, Gonzalo Mateo-García, Gurvan Lecuyer, Luis Gómez-Chova, Yarin Gal, and Freddie Kalaitzis · 2023
Closest in time.
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
Closest in time.
3d neural field generation using triplane diffusion
J Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, and Gordon Wetzstein · 2023
Closest in time.
Multitemporal and multispectral data fusion for super-resolution of sentinel-2 images
Tomasz Tarasiewicz, Jakub Nalepa, Reuben A Farrugia, Gianluca Valentino, Mang Chen, Johann A Briffa, and Michal Kawulok · 2023
Closest in time.
Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, and Jun Zhu · 2023
Closest in time.
Adding conditional control to text-to-image diffusion models
Lvmin Zhang and Maneesh Agrawala · 2023
Closest in time.