Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better

2 April 2024

Shuaiqi Wang

Papers citing "Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better"

50 / 55 papers shown

Title
Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation Junyi Zhu Ruicong Yao Taha Ceritli Savas Ozkan Matthew B. Blaschko Eunchung Noh Jeongwon Min Cho Jung Min Mete Ozay FedML 115 0 0 26 Mar 2025
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning Qianli Ma Xuefei Ning Dongrui Liu Li Niu Linfeng Zhang MoMe 80 2 0 09 Oct 2024
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs Enshu Liu Junyi Zhu Zinan Lin Xuefei Ning Matthew B. Blaschko Shengen Yan Guohao Dai Huazhong Yang Yu Wang MoE 64 5 0 01 Jul 2024
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation Tianchen Zhao Tongcheng Fang Haofeng Huang Enshu Liu Widyadewi Soedarmadji ... Shengen Yan Huazhong Yang Xuefei Ning Xuefei Ning Yu Wang MQ VGen 128 29 0 04 Jun 2024
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization Tianchen Zhao Xuefei Ning Tongcheng Fang En-hao Liu Guyue Huang Zinan Lin Shengen Yan Guohao Dai Yu Wang MQ DiffM 86 19 0 28 May 2024
VideoLCM: Video Latent Consistency Model Xiang Wang Shiwei Zhang Han Zhang Yu Liu Yingya Zhang Changxin Gao Nong Sang VGen DiffM 37 48 0 14 Dec 2023
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models En-hao Liu Xuefei Ning Huazhong Yang Yu Wang DiffM 47 11 0 12 Dec 2023
Analyzing and Improving the Training Dynamics of Diffusion Models Tero Karras M. Aittala J. Lehtinen Janne Hellsten Timo Aila S. Laine 81 173 0 05 Dec 2023
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets A. Blattmann Tim Dockhorn Sumith Kulal Daniel Mendelevitch Maciej Kilian ... Zion English Vikram S. Voleti Adam Letts Varun Jampani Robin Rombach VGen 205 1,082 0 25 Nov 2023
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module Simian Luo Yiqin Tan Suraj Patil Daniel Gu Patrick von Platen Apolinário Passos Longbo Huang Jian Li Hang Zhao MoMe 152 151 0 09 Nov 2023
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch Le Yu Yu Bowen Haiyang Yu Fei Huang Yongbin Li MoMe 73 304 0 06 Nov 2023
Improved Techniques for Training Consistency Models Yang Song Prafulla Dhariwal 47 164 0 22 Oct 2023
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference Simian Luo Yiqin Tan Longbo Huang Jian Li Hang Zhao DiffM 56 448 0 06 Oct 2023
Denoising Diffusion Step-aware Models Shuai Yang Yukang Chen Luozhou Wang Shu Liu Ying-Cong Chen DiffM 50 13 0 05 Oct 2023
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration Lijiang Li Huixia Li Xiawu Zheng Jie Wu Xuefeng Xiao Rui Wang Min Zheng Xin Pan Chia-Wen Lin Rongrong Ji 96 36 0 19 Sep 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models En-hao Liu Xuefei Ning Zinan Lin Huazhong Yang Yu Wang 70 37 0 15 Jun 2023
TIES-Merging: Resolving Interference When Merging Models Prateek Yadav Derek Tam Leshem Choshen Colin Raffel Joey Tianyi Zhou MoMe 91 284 0 02 Jun 2023
Addressing Negative Transfer in Diffusion Models Hyojun Go Jinyoung Kim Yunsung Lee Seunghyun Lee Shinhyeok Oh Hyeongdon Moon Seungtaek Choi DiffM VLM 78 26 0 01 Jun 2023
Fine-Tuning Language Models with Just Forward Passes Sadhika Malladi Tianyu Gao Eshaan Nichani Alexandru Damian Jason D. Lee Danqi Chen Sanjeev Arora 98 182 0 27 May 2023
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation Yuval Kirstain Adam Polyak Uriel Singer Shahbuland Matiana Joe Penna Omer Levy EGVM 185 375 0 02 May 2023
Efficient Diffusion Training via Min-SNR Weighting Strategy Tiankai Hang Shuyang Gu Chen Li Jianmin Bao Dong Chen Han Hu Xin Geng B. Guo 41 154 0 16 Mar 2023
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation David Berthelot Arnaud Autef Jierui Lin Dian Ang Yap Shuangfei Zhai Siyuan Hu Daniel Zheng Walter Talbot Eric Gu DiffM 61 83 0 07 Mar 2023
Consistency Models Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 88 903 0 02 Mar 2023
Dataless Knowledge Fusion by Merging Weights of Language Models Xisen Jin Xiang Ren Daniel Preoţiuc-Pietro Pengxiang Cheng FedML MoMe 40 231 0 19 Dec 2022
Editing Models with Task Arithmetic Gabriel Ilharco Marco Tulio Ribeiro Mitchell Wortsman Suchin Gururangan Ludwig Schmidt Hannaneh Hajishirzi Ali Farhadi KELM MoMe MU 118 462 0 08 Dec 2022
Magic3D: High-Resolution Text-to-3D Content Creation Chen-Hsuan Lin Jun Gao Luming Tang Towaki Takikawa Fangyin Wei Xun Huang Karsten Kreis Sanja Fidler Ming-Yuan Liu Nayeon Lee 129 1,141 0 18 Nov 2022
DreamFusion: Text-to-3D using 2D Diffusion Ben Poole Ajay Jain Jonathan T. Barron B. Mildenhall 108 2,359 0 29 Sep 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 129 1,377 0 02 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 138 1,907 0 01 Jun 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 138 1,563 0 07 Apr 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time Mitchell Wortsman Gabriel Ilharco S. Gadre Rebecca Roelofs Raphael Gontijo-Lopes ... Hongseok Namkoong Ali Farhadi Y. Carmon Simon Kornblith Ludwig Schmidt MoMe 97 953 1 10 Mar 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds Luping Liu Yi Ren Zhijie Lin Zhou Zhao DiffM 75 632 0 20 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 250 15,081 0 20 Dec 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 223 9,946 0 17 Jun 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models Daniel Watson Jonathan Ho Mohammad Norouzi William Chan DiffM 64 135 0 07 Jun 2021
Gotta Go Fast When Generating Data with Score-Based Models Alexia Jolicoeur-Martineau Ke Li Remi Piche-Taillefer Tal Kachman Ioannis Mitliagkas DiffM 55 218 0 28 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 130 7,639 0 11 May 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 169 3,599 0 18 Feb 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 262 6,293 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 137 7,166 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 279 17,550 0 19 Jun 2020
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS Xuefei Ning Yin Zheng Tianchen Zhao Yu Wang Huazhong Yang AI4CE 52 100 0 04 Apr 2020
Improved Precision and Recall Metric for Assessing Generative Models Tuomas Kynkaanniemi Tero Karras S. Laine J. Lehtinen Timo Aila EGVM 72 844 0 15 Apr 2019
Tight Analyses for Non-Smooth Stochastic Gradient Descent Nicholas J. A. Harvey Christopher Liaw Y. Plan Sikander Randhawa 40 137 0 13 Dec 2018
Averaging Weights Leads to Wider Optima and Better Generalization Pavel Izmailov Dmitrii Podoprikhin T. Garipov Dmitry Vetrov A. Wilson FedML MoMe 93 1,643 0 14 Mar 2018
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs T. Garipov Pavel Izmailov Dmitrii Podoprikhin Dmitry Vetrov A. Wilson UQCV 56 746 0 27 Feb 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 123 3,009 0 05 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 262 11,610 0 11 Jan 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 83 1,470 0 04 Jan 2018
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 366 8,999 0 10 Jun 2016