Fast Sampling of Diffusion Models with Exponential Integrator

29 April 2022

Qinsheng Zhang

Papers citing "Fast Sampling of Diffusion Models with Exponential Integrator"

20 / 70 papers shown

Title
Differential Diffusion: Giving Each Pixel Its Strength E. Levin Ohad Fried DiffM 37 20 0 01 Jun 2023
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models Martin Gonzalez N. Fernández T. Tran Elies Gherbi H. Hajri N. Masmoudi DiffM 14 22 0 23 May 2023
Policy Representation via Diffusion Probability Model for Reinforcement Learning Long Yang Zhixiong Huang Fenghao Lei Yucun Zhong Yiming Yang Cong Fang Shiting Wen Binbin Zhou Zhouchen Lin DiffM 19 37 0 22 May 2023
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling Shitong Shao Xu Dai Shouyi Yin Lujun Li Huanran Chen Yang Hu 15 18 0 18 May 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models Yefei He Luping Liu Jing Liu Weijia Wu Hong Zhou Bohan Zhuang DiffM MQ 22 100 0 18 May 2023
DiffCollage: Parallel Generation of Large Content with Diffusion Models Qinsheng Zhang Jiaming Song Xun Huang Yongxin Chen Ming-Yu Liu DiffM 22 82 0 30 Mar 2023
From paintbrush to pixel: A review of deep neural networks in AI-generated art Anne-Sofie Maerten Derya Soydaner 25 22 0 14 Feb 2023
Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion Zuopeng Yang Tianshu Chu Xin Lin Erdun Gao Daqing Liu J. Yang Chaoyue Wang DiffM 18 16 0 05 Feb 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 25 53 0 27 Jan 2023
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods Suttisak Wizadwongsa Supasorn Suwajanakorn DiffM 25 12 0 27 Jan 2023
Few-shot Image Generation with Diffusion Models Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan DiffM 30 20 0 07 Nov 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 27 104 0 11 Oct 2022
Lossy Compression with Gaussian Diffusion Lucas Theis Tim Salimans Matthew D. Hoffman Fabian Mentzer DiffM 22 76 0 17 Jun 2022
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell Joe Benton Valentin De Bortoli Tom Rainforth George Deligiannidis Arnaud Doucet DiffM 183 132 0 30 May 2022
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion Zhaoyang Lyu Zhifeng Kong Xudong Xu Liang Pan Dahua Lin DiffM BDL 214 95 0 07 Dec 2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 170 160 0 21 Oct 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 392 0 10 Feb 2021
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis Bingchen Liu Yizhe Zhu Kunpeng Song Ahmed Elgammal 162 227 0 12 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,542 0 25 Jan 2016