High Fidelity Image Synthesis With Deep VAEs In Latent Space

23 March 2023

Papers citing "High Fidelity Image Synthesis With Deep VAEs In Latent Space"

24 / 24 papers shown

Title
Optimizing Hierarchical Image VAEs for Sample Quality Eric Luhman Troy Luhman DRL 68 5 0 18 Oct 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 193 3,898 0 26 Jul 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Jiahui Yu Yuanzhong Xu Jing Yu Koh Thang Luong Gunjan Baid ... Zarana Parekh Xin Li Han Zhang Jason Baldridge Yonghui Wu EGVM 192 1,129 0 22 Jun 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 410 6,897 0 13 Apr 2022
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors Oran Gafni Adam Polyak Oron Ashual Shelly Sheynin Devi Parikh Yaniv Taigman DiffM 79 523 0 24 Mar 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 266 512 0 01 Feb 2022
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 364 3,605 0 20 Dec 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 484 1,645 0 10 Nov 2021
Vector-quantized Image Modeling with Improved VQGAN Jiahui Yu Xin Li Jing Yu Koh Han Zhang Ruoming Pang James Qin Alexander Ku Yuanzhong Xu Jason Baldridge Yonghui Wu ViT VLM DRL 117 519 0 09 Oct 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 67 684 0 10 Jun 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 164 1,235 0 30 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 241 7,933 0 11 May 2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models Haoying Li Yifan Yang Meng Chang H. Feng Zhi-hai Xu Qi Li Yue-ting Chen DiffM 70 635 0 30 Apr 2021
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 231 272 0 18 Apr 2021
Conditional Image Generation by Conditioning Variational Auto-Encoders William Harvey Saeid Naderiparizi Frank Wood BDL DRL 53 25 0 24 Feb 2021
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 184 351 0 20 Nov 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 72 915 0 08 Jul 2020
Diagnosing and Enhancing VAE Models Bin Dai David Wipf DRL 63 381 0 14 Mar 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 61 215 0 06 Feb 2019
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 486 9,062 0 10 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 275 78 0 26 May 2016
Autoencoding beyond pixels using a learned similarity metric Anders Boesen Lindbo Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther GAN 173 2,072 0 31 Dec 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 318 4,197 0 21 May 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,923 0 20 Dec 2013