Fetching the paper…
Reading the bibliography…
Diffusion probabilistic models (DPMs) have achieved remarkable quality in image generation that rivals GANs'.
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 1938
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli · 2004
Earlier work this paper cites.
StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows
Rameen Abdal, Peihao Zhu, Niloy Mitra, and Peter Wonka · 2008
Earlier work this paper cites.
WaveGrad: Estimating Gradients for Waveform Generation
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, and William Chan · 2009
Earlier work this paper cites.
ImageNet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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.
Auto-Encoding Variational Bayes
Diederik P. Kingma and Max Welling · 2013
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.
Deep Learning Face Attributes in the Wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
Earlier work this paper cites.
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord, Nal Kalchbrenner, Lasse Espeholt, koray kavukcuoglu, Oriol Vinyals, and Alex Graves · 2016
Earlier work this paper cites.
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Fisher Yu, Ari Seff, Yinda Zhang, Shuran Song, Thomas Funkhouser, and Jianxiong Xiao · 2016
Earlier work this paper cites.
Neural Discrete Representation Learning
Aaron van den Oord, Oriol Vinyals, and koray kavukcuoglu · 2017
Earlier work this paper cites.
Understanding intermediate layers using linear classifier probes
Guillaume Alain and Yoshua Bengio · 2018
Earlier work this paper cites.
Recurrent World Models Facilitate Policy Evolution
David Ha and Jürgen Schmidhuber · 2018
Earlier work this paper cites.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
Earlier work this paper cites.
Group Normalization
Yuxin Wu and Kaiming He · 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.
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2019
Earlier work this paper cites.
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
Earlier work this paper cites.
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
Daniel Freeman, David Ha, and Luke Metz · 2019
Cited alongside, same era.
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, and James Davidson · 2019
Cited alongside, same era.
AttGAN: Facial Attribute Editing by Only Changing What You Want
Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, and Xilin Chen · 2019
Cited alongside, same era.
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
Cited alongside, same era.
Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi, Aaron van den Oord, and Oriol Vinyals · 2019
Cited alongside, same era.
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal and Alexander Quinn Nichol · 2021
Closest in time.
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Patrick Esser, Robin Rombach, Andreas Blattmann, and Björn Ommer · 2021
Closest in time.
Taming Transformers for High-Resolution Image Synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
Closest in time.
Gotta Go Fast When Generating Data with Score-Based Models
Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, and Ioannis Mitliagkas · 2021
Closest in time.
Variational Diffusion Models
Diederik P. Kingma, Tim Salimans, Ben Poole, and Jonathan Ho · 2021
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Mihaela Rosca, Balaji Lakshminarayanan, and Shakir Mohamed · 2019
Cited alongside, same era.
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song and Stefano Ermon · 2019
Cited alongside, same era.
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes
Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, and Shih-Wei Liao · 2019
Cited alongside, same era.
Image2StyleGAN++: How to Edit the Embedded Images?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2020
Cited alongside, same era.
A Simple Framework for Contrastive Learning of Visual Representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
Cited alongside, same era.
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, Bilal Piot, koray kavukcuoglu, Remi Munos, and Michal Valko · 2020
Cited alongside, same era.
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
Cited alongside, same era.
Max W. Y. Lam, Jun Wang, Rongjie Huang, Dan Su, and Dong Yu · 2021
Closest in time.
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo and Wei Hu · 2021
Closest in time.
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon · 2021
Closest in time.
Improved Denoising Diffusion Probabilistic Models
Alexander Quinn Nichol and Prafulla Dhariwal · 2021
Closest in time.
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski · 2021
Closest in time.
Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation
Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, and Daniel Cohen-Or · 2021
Closest in time.
Simple and Effective VAE Training with Calibrated Decoders
Oleh Rybkin, Kostas Daniilidis, and Sergey Levine · 2021
Closest in time.
Image Super-Resolution via Iterative Refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, and Mohammad Norouzi · 2021
Closest in time.
D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation
Abhishek Sinha, Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
Closest in time.
Diffusion Priors In Variational Autoencoders
Antoine Wehenkel and Gilles Louppe · 2021
Closest in time.
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation
Zongze Wu, Dani Lischinski, and Eli Shechtman · 2021
Closest in time.
Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, and Ming-Hsuan Yang · 2021
Closest in time.
VideoGPT: Video Generation using VQ-VAE and Transformers
Wilson Yan, Yunzhi Zhang, Pieter Abbeel, and Aravind Srinivas · 2021
Closest in time.
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, and Tim Salimans · 2022
Closest in time.
SRDiff: Single image super-resolution with diffusion probabilistic models
Haoying Li, Yifan Yang, Meng Chang, Shiqi Chen, Huajun Feng, Zhihai Xu, Qi Li, and Yueting Chen · 2022
Closest in time.