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DiffFit: Unlocking Transferability of Large Diffusion Models via Simple
  Parameter-Efficient Fine-Tuning

DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning

13 April 2023
Enze Xie
Lewei Yao
Han Shi
Zhili Liu
Daquan Zhou
Zhaoqiang Liu
Jiawei Li
Zhenguo Li
ArXivPDFHTML

Papers citing "DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning"

28 / 28 papers shown
Title
Deepfakes on Demand: the rise of accessible non-consensual deepfake image generators
Deepfakes on Demand: the rise of accessible non-consensual deepfake image generators
Will Hawkins
Chris Russell
Brent Mittelstadt
DiffM
63
0
0
06 May 2025
Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing
Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing
Vlad Vasilescu
Ana Neacsu
Daniela Faur
ViT
22
0
0
24 Apr 2025
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation
Wangbo Zhao
Yizeng Han
Jiasheng Tang
Kai Wang
Hao Luo
Yibing Song
Gao Huang
Fan Wang
Yang You
66
0
0
09 Apr 2025
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
Fanghua Yu
Jinjin Gu
Jinfan Hu
Zheyuan Li
Chao Dong
DiffM
50
0
0
21 Mar 2025
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation
Seokil Ham
H. Kim
Sangmin Woo
Changick Kim
Mamba
133
0
0
21 Nov 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
L. Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
44
3
0
24 Oct 2024
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
Zichen Miao
Zhengyuan Yang
Kevin Lin
Ze Wang
Zicheng Liu
Lijuan Wang
Qiang Qiu
40
3
0
04 Oct 2024
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Yulai Zhao
Masatoshi Uehara
Gabriele Scalia
Tommaso Biancalani
Sergey Levine
Ehsan Hajiramezanali
Ehsan Hajiramezanali
AI4CE
52
3
0
17 Jun 2024
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with
  Foundation Models
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models
Athanasios Tragakis
Marco Aversa
Chaitanya Kaul
Roderick Murray-Smith
Daniele Faccio
49
2
0
11 Jun 2024
Transfer Learning for Diffusion Models
Transfer Learning for Diffusion Models
Yidong Ouyang
Liyan Xie
Hongyuan Zha
Guang Cheng
DiffM
55
2
0
27 May 2024
Large Convolutional Model Tuning via Filter Subspace
Large Convolutional Model Tuning via Filter Subspace
Wei Chen
Zichen Miao
Qiang Qiu
49
3
0
01 Mar 2024
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey
Yi Xin
Jianjiang Yang
Haodi Zhou
Junlong Du
Junlong Du
Yue Fan
Qing Li
Qing Li
Yuntao Du
VLM
59
74
0
03 Feb 2024
SCEdit: Efficient and Controllable Image Diffusion Generation via Skip
  Connection Editing
SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing
Zeyinzi Jiang
Chaojie Mao
Yulin Pan
Zhen Han
Jingfeng Zhang
19
28
0
18 Dec 2023
Scene Graph Conditioning in Latent Diffusion
Scene Graph Conditioning in Latent Diffusion
Frank Fundel
DiffM
25
0
0
16 Oct 2023
ImageBind-LLM: Multi-modality Instruction Tuning
ImageBind-LLM: Multi-modality Instruction Tuning
Jiaming Han
Renrui Zhang
Wenqi Shao
Peng Gao
Peng-Tao Xu
...
Yafei Wen
Xiaoxin Chen
Xiangyu Yue
Hongsheng Li
Yu Qiao
MLLM
30
115
0
07 Sep 2023
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed
  Opportunity
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity
Raman Dutt
Linus Ericsson
Pedro Sanchez
Sotirios A. Tsaftaris
Timothy M. Hospedales
MedIm
16
50
0
14 May 2023
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
Senmao Li
Joost van de Weijer
Taihang Hu
F. Khan
Qibin Hou
Yaxing Wang
Jian Yang
DiffM
29
52
0
28 Mar 2023
Sampling is as easy as learning the score: theory for diffusion models
  with minimal data assumptions
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen
Sinho Chewi
Jungshian Li
Yuanzhi Li
Adil Salim
Anru R. Zhang
DiffM
123
245
0
22 Sep 2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual
  Recognition
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Shoufa Chen
Chongjian Ge
Zhan Tong
Jiangliu Wang
Yibing Song
Jue Wang
Ping Luo
141
635
0
26 May 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer
Katja Schwarz
Andreas Geiger
182
487
0
01 Feb 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
388
4,110
0
28 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
Raise a Child in Large Language Model: Towards Effective and
  Generalizable Fine-tuning
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning
Runxin Xu
Fuli Luo
Zhiyuan Zhang
Chuanqi Tan
Baobao Chang
Songfang Huang
Fei Huang
LRM
136
178
0
13 Sep 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
322
2,249
0
02 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,835
0
18 Apr 2021
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
282
1,518
0
27 Feb 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
263
3,604
0
24 Feb 2021
TransTrack: Multiple Object Tracking with Transformer
TransTrack: Multiple Object Tracking with Transformer
Pei Sun
Jinkun Cao
Yi-Xin Jiang
Rufeng Zhang
Enze Xie
Zehuan Yuan
Changhu Wang
Ping Luo
ViT
VOT
241
564
0
31 Dec 2020
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