Learning Quantized Adaptive Conditions for Diffusion Models

26 September 2024

Lei Yu

Hanting Chen

Papers citing "Learning Quantized Adaptive Conditions for Diffusion Models"

27 / 27 papers shown

Title
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 113 91 0 20 Oct 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 70 17 0 18 May 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models Wenliang Zhao Lujia Bai Yongming Rao Jie Zhou Jiwen Lu DiffM 99 226 0 09 Feb 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 111 60 0 27 Jan 2023
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance Dohyun Kwon Ying Fan Kangwook Lee DiffM 60 54 0 13 Dec 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 177 611 0 02 Nov 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 92 114 0 11 Oct 2022
DreamFusion: Text-to-3D using 2D Diffusion Ben Poole Ajay Jain Jonathan T. Barron B. Mildenhall 172 2,433 0 29 Sep 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 111 862 0 29 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 209 1,043 0 07 Sep 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 196 3,963 0 26 Jul 2022
Can Push-forward Generative Models Fit Multimodal Distributions? Antoine Salmona Valentin De Bortoli J. Delon A. Desolneux DiffM 72 38 0 29 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 231 1,458 0 02 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 215 2,022 0 01 Jun 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds Luping Liu Yi Ren Zhijie Lin Zhou Zhao DiffM 107 652 0 20 Feb 2022
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 198 1,138 0 01 Jul 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 69 686 0 10 Jun 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 352 3,716 0 18 Feb 2021
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning Zhaowei Cai Avinash Ravichandran Subhransu Maji Charless C. Fowlkes Zhuowen Tu Stefano Soatto 99 120 0 21 Jan 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 238 282 0 07 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 353 6,566 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 292 7,469 0 06 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 161 1,468 0 21 Sep 2020
StarGAN v2: Diverse Image Synthesis for Multiple Domains Yunjey Choi Youngjung Uh Jaejun Yoo Jung-Woo Ha 3DH 131 1,756 0 04 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,956 0 12 Jul 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 617 10,590 0 12 Dec 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 230 5,071 0 02 Nov 2017