Efficient Personalization of Quantized Diffusion Model without Backpropagation

19 March 2025

Papers citing "Efficient Personalization of Quantized Diffusion Model without Backpropagation"

42 / 42 papers shown

Title
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training Aochuan Chen Yimeng Zhang Jinghan Jia James Diffenderfer Jiancheng Liu Konstantinos Parasyris Yihua Zhang Zheng Zhang B. Kailkhura Sijia Liu 114 48 0 03 Oct 2023
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models Nataniel Ruiz Yuanzhen Li Varun Jampani Wei Wei Tingbo Hou Yael Pritch Neal Wadhwa Michael Rubinstein Kfir Aberman DiffM 87 183 0 13 Jul 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models En-hao Liu Xuefei Ning Zinan Lin Huazhong Yang Yu Wang 110 40 0 15 Jun 2023
Multi-Architecture Multi-Expert Diffusion Models Yunsung Lee Jin-Young Kim Hyojun Go Myeongho Jeong Shinhyeok Oh Seungtaek Choi DiffM 85 31 0 08 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 128 206 0 27 May 2023
ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models Yuxin Zhang Weiming Dong Fan Tang Nisha Huang Haibin Huang Chongyang Ma Tong-Yee Lee Oliver Deussen Changsheng Xu DiffM 84 79 0 25 May 2023
A Neural Space-Time Representation for Text-to-Image Personalization Yuval Alaluf Elad Richardson G. Metzer Daniel Cohen-Or DiffM 84 99 0 24 May 2023
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization Jeonghoon Kim J. H. Lee Sungdong Kim Joonsuk Park Kang Min Yoo S. Kwon Dongsoo Lee MQ 143 104 0 23 May 2023
Common Diffusion Noise Schedules and Sample Steps are Flawed Shanchuan Lin Bingchen Liu Jiashi Li Xiao Yang DiffM 80 229 0 15 May 2023
A Closer Look at Parameter-Efficient Tuning in Diffusion Models Chendong Xiang Fan Bao Chongxuan Li Hang Su Jun Zhu DiffM 34 16 0 31 Mar 2023
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models Hila Chefer Yuval Alaluf Yael Vinker Lior Wolf Daniel Cohen-Or DiffM 122 516 0 31 Jan 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 120 2,436 0 19 Dec 2022
Multi-Concept Customization of Text-to-Image Diffusion Nupur Kumari Bin Zhang Richard Y. Zhang Eli Shechtman Jun-Yan Zhu 170 875 0 08 Dec 2022
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation Haochen Wang Xiaodan Du Jiahao Li Raymond A. Yeh Gregory Shakhnarovich DiffM 153 550 0 01 Dec 2022
Multiresolution Textual Inversion Giannis Daras A. Dimakis 81 33 0 30 Nov 2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Yogesh Balaji Seungjun Nah Xun Huang Arash Vahdat Jiaming Song ... Timo Aila S. Laine Bryan Catanzaro Tero Karras Xuan Li VLM MoE 177 831 0 02 Nov 2022
Imagen Video: High Definition Video Generation with Diffusion Models Jonathan Ho William Chan Chitwan Saharia Jay Whang Ruiqi Gao ... Diederik P. Kingma Ben Poole Mohammad Norouzi David J. Fleet Tim Salimans VGen 173 1,542 0 05 Oct 2022
DreamFusion: Text-to-3D using 2D Diffusion Ben Poole Ajay Jain Jonathan T. Barron B. Mildenhall 177 2,439 0 29 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 218 1,053 0 07 Sep 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation Nataniel Ruiz Yuanzhen Li Varun Jampani Yael Pritch Michael Rubinstein Kfir Aberman 282 2,891 0 25 Aug 2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion Rinon Gal Yuval Alaluf Yuval Atzmon Or Patashnik Amit H. Bermano Gal Chechik Daniel Cohen-Or 168 1,898 0 02 Aug 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 416 6,916 0 13 Apr 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 227 1,642 0 07 Apr 2022
Perception Prioritized Training of Diffusion Models Jooyoung Choi Jungbeom Lee Chaehun Shin Sungwon Kim Hyunwoo J. Kim Sung-Hoon Yoon DiffM 119 251 0 01 Apr 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality Daniel Watson William Chan Jonathan Ho Mohammad Norouzi DiffM BDL 96 183 0 11 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 505 15,788 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 502 10,526 0 17 Jun 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.0K 29,926 0 26 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 379 6,586 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 302 7,492 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 748 18,364 0 19 Jun 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning Sijia Liu Pin-Yu Chen B. Kailkhura Gaoyuan Zhang A. Hero III P. Varshney 76 235 0 11 Jun 2020
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling HanQin Cai Daniel McKenzie W. Yin Zhenliang Zhang 119 50 0 29 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 565 42,639 0 03 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,961 0 12 Jul 2019
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets Penghang Yin J. Lyu Shuai Zhang Stanley Osher Y. Qi Jack Xin MQ LLMSV 126 319 0 13 Mar 2019
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 141 1,021 0 21 Jun 2018
Adaptive Sampling Strategies for Stochastic Optimization Raghu Bollapragada R. Byrd J. Nocedal 49 116 0 30 Oct 2017
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 312 7,031 0 12 Mar 2015
Optimal rates for zero-order convex optimization: the power of two function evaluations John C. Duchi Michael I. Jordan Martin J. Wainwright Andre Wibisono 95 489 0 07 Dec 2013
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 122 1,562 0 22 Sep 2013
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 398 3,157 0 15 Aug 2013