Cascaded Diffusion Models for High Fidelity Image Generation

Cascaded Diffusion Models for High Fidelity Image Generation

30 May 2021

Chitwan Saharia

David J. Fleet

Mohammad Norouzi

Papers citing "Cascaded Diffusion Models for High Fidelity Image Generation"

19 / 219 papers shown

Title
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models Kamil Deja Anna Kuzina Tomasz Trzciñski Jakub M. Tomczak DiffM 24 25 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 178 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 51 58 0 30 May 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 55 5,768 0 23 May 2022
Decoder Denoising Pretraining for Semantic Segmentation Emmanuel B. Asiedu Simon Kornblith Ting Chen Niki Parmar Matthias Minderer Mohammad Norouzi AI4CE 191 26 0 23 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 67 6,622 0 13 Apr 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 27 1,503 0 07 Apr 2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models Vikash Sehwag C. Hazirbas Albert Gordo Firat Ozgenel Cristian Canton Ferrer DiffM 25 66 0 31 Mar 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 17 510 0 24 Mar 2022
Image Super-Resolution With Deep Variational Autoencoders Darius Chira Ilian Haralampiev Ole Winther Andrea Dittadi Valentin Liévin DRL 24 32 0 17 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications Yanqiao Zhu Yuanqi Du Yinkai Wang Yichen Xu Jieyu Zhang Qiang Liu Shu Wu 3DV GNN 29 67 0 13 Mar 2022
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives Hideyuki Tachibana Mocho Go Muneyoshi Inahara Yotaro Katayama Yotaro Watanabe DiffM 16 3 0 26 Dec 2021
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 112 14,612 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 64 3,459 0 20 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 27 415 0 30 Nov 2021
Vector Quantized Diffusion Model for Text-to-Image Synthesis Shuyang Gu Dong Chen Jianmin Bao Fang Wen Bo Zhang Dongdong Chen Lu Yuan B. Guo DiffM 45 757 0 29 Nov 2021
Diffusion-Based Representation Learning K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 26 56 0 29 May 2021
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016