ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.12092
  4. Cited By
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models

Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models

20 November 2023
Rohit Gandikota
Joanna Materzyñska
Tingrui Zhou
Antonio Torralba
David Bau
    DiffM
ArXivPDFHTML

Papers citing "Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models"

50 / 51 papers shown
Title
"I Know It When I See It": Mood Spaces for Connecting and Expressing Visual Concepts
"I Know It When I See It": Mood Spaces for Connecting and Expressing Visual Concepts
Huzheng Yang
Katherine Xu
Michael D. Grossberg
Yutong Bai
Jianbo Shi
36
0
0
21 Apr 2025
DuoLoRA : Cycle-consistent and Rank-disentangled Content-Style Personalization
DuoLoRA : Cycle-consistent and Rank-disentangled Content-Style Personalization
Aniket Roy
Shubhankar Borse
Shreya Kadambi
Debasmit Das
Shweta Mahajan
...
Hyojin Park
Ankita Nayak
Rama Chellappa
Munawar Hayat
Fatih Porikli
MoMe
50
0
0
15 Apr 2025
Teaching Humans Subtle Differences with DIFFusion
Teaching Humans Subtle Differences with DIFFusion
Mia Chiquier
Orr Avrech
Yossi Gandelsman
Berthy T. Feng
Katherine L. Bouman
Carl Vondrick
DiffM
51
0
0
10 Apr 2025
Concept Lancet: Image Editing with Compositional Representation Transplant
Concept Lancet: Image Editing with Compositional Representation Transplant
Jinqi Luo
Tianjiao Ding
Kwan Ho Ryan Chan
Hancheng Min
Chris Callison-Burch
René Vidal
DiffM
KELM
72
0
0
03 Apr 2025
Semantix: An Energy Guided Sampler for Semantic Style Transfer
Semantix: An Energy Guided Sampler for Semantic Style Transfer
Huiang He
Minghui Hu
C. Zheng
Chaoyue Wang
Tat-Jen Cham
DiffM
48
0
0
28 Mar 2025
Interpretable Generative Models through Post-hoc Concept Bottlenecks
Interpretable Generative Models through Post-hoc Concept Bottlenecks
Akshay Kulkarni
Ge Yan
Chung-En Sun
Tuomas P. Oikarinen
Tsui-Wei Weng
45
0
0
25 Mar 2025
HyperLoRA: Parameter-Efficient Adaptive Generation for Portrait Synthesis
HyperLoRA: Parameter-Efficient Adaptive Generation for Portrait Synthesis
Mengtian Li
Jinshu Chen
Wanquan Feng
Bingchuan Li
Fei Dai
Mingcong Liu
Qian He
3DH
52
0
0
21 Mar 2025
Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational Autoencoder
Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational Autoencoder
Wonwoong Cho
Yan-Ying Chen
M. Klenk
David I. Inouye
Yanxia Zhang
DiffM
168
0
0
15 Mar 2025
Distilling Diversity and Control in Diffusion Models
Rohit Gandikota
David Bau
55
1
0
13 Mar 2025
Controlling Latent Diffusion Using Latent CLIP
Jason Becker
Chris Wendler
Peter Baylies
Robert West
Christian Wressnegger
DiffM
VLM
63
0
0
11 Mar 2025
MGHanD: Multi-modal Guidance for authentic Hand Diffusion
Taehyeon Eum
Jieun Choi
Tae-Kyun Kim
52
0
0
11 Mar 2025
Evaluating and Predicting Distorted Human Body Parts for Generated Images
Lu Ma
Kaibo Cao
Hao Liang
Jiaxin Lin
Z. Li
Yuhong Liu
Jihong Zhang
Wentao Zhang
Bin Cui
MedIm
44
0
0
02 Mar 2025
Assessing the use of Diffusion models for motion artifact correction in brain MRI
Assessing the use of Diffusion models for motion artifact correction in brain MRI
Paolo Angella
Vito Paolo Pastore
Matteo Santacesaria
MedIm
DiffM
67
1
0
03 Feb 2025
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models
Rohit Gandikota
Zongze Wu
Richard Zhang
David Bau
Eli Shechtman
Nick Kolkin
DiffM
53
1
0
03 Feb 2025
Parameter-Efficient Fine-Tuning for Foundation Models
Parameter-Efficient Fine-Tuning for Foundation Models
Dan Zhang
Tao Feng
Lilong Xue
Yuandong Wang
Yuxiao Dong
J. Tang
46
8
0
23 Jan 2025
SOEDiff: Efficient Distillation for Small Object Editing
SOEDiff: Efficient Distillation for Small Object Editing
Yiming Wu
Qihe Pan
Zhen Zhao
Zicheng Wang
Sifan Long
Ronghua Liang
DiffM
68
0
0
03 Jan 2025
Provable Uncertainty Decomposition via Higher-Order Calibration
Provable Uncertainty Decomposition via Higher-Order Calibration
Gustaf Ahdritz
Aravind Gollakota
Parikshit Gopalan
Charlotte Peale
Udi Wieder
UD
UQCV
PER
52
1
0
25 Dec 2024
StyleDiT: A Unified Framework for Diverse Child and Partner Faces
  Synthesis with Style Latent Diffusion Transformer
StyleDiT: A Unified Framework for Diverse Child and Partner Faces Synthesis with Style Latent Diffusion Transformer
Pin-Yen Chiu
Dai-Jie Wu
Po-Hsun Chu
Chia-Hsuan Hsu
Hsiang-Chen Chiu
Chih-Yu Wang
Jun-Cheng Chen
DiffM
89
0
0
14 Dec 2024
LoRA of Change: Learning to Generate LoRA for the Editing Instruction
  from A Single Before-After Image Pair
LoRA of Change: Learning to Generate LoRA for the Editing Instruction from A Single Before-After Image Pair
Xue Song
Jiequan Cui
Hanwang Zhang
Jiaxin Shi
Jingjing Chen
Chi Zhang
Yu-Gang Jiang
94
0
0
28 Nov 2024
Controlling Language and Diffusion Models by Transporting Activations
Controlling Language and Diffusion Models by Transporting Activations
P. Rodríguez
Arno Blaas
Michal Klein
Luca Zappella
N. Apostoloff
Marco Cuturi
Xavier Suau
LLMSV
37
4
0
30 Oct 2024
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse
  Autoencoders
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders
Viacheslav Surkov
Chris Wendler
Mikhail Terekhov
Justin Deschenaux
Robert West
Çağlar Gülçehre
VLM
40
13
0
28 Oct 2024
Conjuring Semantic Similarity
Conjuring Semantic Similarity
Tian Yu Liu
Stefano Soatto
DiffM
27
0
0
21 Oct 2024
Illustrious: an Open Advanced Illustration Model
Illustrious: an Open Advanced Illustration Model
Sang Hyun Park
Jun Young Koh
Junha Lee
Joy Song
Dongha Kim
Hoyeon Moon
Hyunju Lee
Min Song
VLM
41
1
0
30 Sep 2024
Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts
  in Diffusion Models
Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models
Deepak Sridhar
Nuno Vasconcelos
DiffM
36
0
0
25 Sep 2024
MODULI: Unlocking Preference Generalization via Diffusion Models for
  Offline Multi-Objective Reinforcement Learning
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
Yifu Yuan
Zhenrui Zheng
Zibin Dong
Jianye Hao
OffRL
52
1
0
28 Aug 2024
PreciseControl: Enhancing Text-To-Image Diffusion Models with
  Fine-Grained Attribute Control
PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control
Rishubh Parihar
VS Sachidanand
Sabariswaran Mani
Tejan Karmali
R. V. Babu
DiffM
39
13
0
24 Jul 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept
  Space
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
Core Francisco Park
Maya Okawa
Andrew Lee
Ekdeep Singh Lubana
Hidenori Tanaka
62
7
0
27 Jun 2024
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
Alireza Ganjdanesh
Reza Shirkavand
Shangqian Gao
Heng Huang
DiffM
VLM
56
4
0
17 Jun 2024
Interpreting the Weight Space of Customized Diffusion Models
Interpreting the Weight Space of Customized Diffusion Models
Amil Dravid
Yossi Gandelsman
Kuan-Chieh Jackson Wang
Rameen Abdal
Gordon Wetzstein
Alexei A. Efros
Kfir Aberman
34
9
0
13 Jun 2024
FouRA: Fourier Low Rank Adaptation
FouRA: Fourier Low Rank Adaptation
Shubhankar Borse
Shreya Kadambi
N. Pandey
Kartikeya Bhardwaj
Viswanath Ganapathy
Sweta Priyadarshi
Risheek Garrepalli
Rafael Esteves
Munawar Hayat
Fatih Porikli
42
6
0
13 Jun 2024
PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction
PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction
Shangyu Chen
Zizheng Pan
Jianfei Cai
Dinh Q. Phung
45
0
0
09 Jun 2024
Understanding the Limitations of Diffusion Concept Algebra Through Food
Understanding the Limitations of Diffusion Concept Algebra Through Food
E. Z. Zeng
Yuhao Chen
A. Wong
37
0
0
05 Jun 2024
Low-Rank Adaption on Transformer-based Oriented Object Detector for
  Satellite Onboard Processing of Remote Sensing Images
Low-Rank Adaption on Transformer-based Oriented Object Detector for Satellite Onboard Processing of Remote Sensing Images
Xinyang Pu
Feng Xu
32
3
0
04 Jun 2024
Learning Discrete Concepts in Latent Hierarchical Models
Learning Discrete Concepts in Latent Hierarchical Models
Lingjing Kong
Guan-Hong Chen
Erdun Gao
Eric P. Xing
Yuejie Chi
Anton van den Hengel
52
4
0
01 Jun 2024
The Curious Case of End Token: A Zero-Shot Disentangled Image Editing
  using CLIP
The Curious Case of End Token: A Zero-Shot Disentangled Image Editing using CLIP
Hidir Yesiltepe
Yusuf Dalva
Pinar Yanardag
DiffM
18
1
0
01 Jun 2024
On Fairness of Low-Rank Adaptation of Large Models
On Fairness of Low-Rank Adaptation of Large Models
Zhoujie Ding
Ken Ziyu Liu
Pura Peetathawatchai
Berivan Isik
Sanmi Koyejo
48
4
0
27 May 2024
Customizing Text-to-Image Models with a Single Image Pair
Customizing Text-to-Image Models with a Single Image Pair
Maxwell Jones
Sheng-Yu Wang
Nupur Kumari
David Bau
Jun-Yan Zhu
DiffM
25
19
0
02 May 2024
TexSliders: Diffusion-Based Texture Editing in CLIP Space
TexSliders: Diffusion-Based Texture Editing in CLIP Space
Julia Guerrero-Viu
Milos Hasan
Arthur Roullier
Midhun Harikumar
Yiwei Hu
Paul Guerrero
Diego F. F. Gutierrez
B. Masiá
Valentin Deschaintre
DiffM
25
13
0
01 May 2024
RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance
RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance
Chengrui Wang
Pengfei Liu
Min Zhou
Ming Zeng
Xubin Li
Tiezheng Ge
Bo Zheng
DiffM
55
4
0
22 Apr 2024
Continuous Language Model Interpolation for Dynamic and Controllable
  Text Generation
Continuous Language Model Interpolation for Dynamic and Controllable Text Generation
Sara Kangaslahti
David Alvarez-Melis
KELM
31
0
0
10 Apr 2024
CLoRA: A Contrastive Approach to Compose Multiple LoRA Models
CLoRA: A Contrastive Approach to Compose Multiple LoRA Models
Tuna Han Salih Meral
Enis Simsar
Federico Tombari
Pinar Yanardag
MoMe
34
0
0
28 Mar 2024
GANTASTIC: GAN-based Transfer of Interpretable Directions for
  Disentangled Image Editing in Text-to-Image Diffusion Models
GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models
Yusuf Dalva
Hidir Yesiltepe
Pinar Yanardag
DiffM
32
2
0
28 Mar 2024
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions
S. A. Baumann
Felix Krause
Michael Neumayr
Nick Stracke
Vincent Tao Hu
Bjorn Ommer
Björn Ommer
DiffM
LM&Ro
70
11
0
25 Mar 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han
Chao Gao
Jinyang Liu
Jeff Zhang
Sai Qian Zhang
150
310
0
21 Mar 2024
Implicit Style-Content Separation using B-LoRA
Implicit Style-Content Separation using B-LoRA
Yarden Frenkel
Yael Vinker
Ariel Shamir
Daniel Cohen-Or
MoMe
OffRL
53
40
0
21 Mar 2024
Giving a Hand to Diffusion Models: a Two-Stage Approach to Improving
  Conditional Human Image Generation
Giving a Hand to Diffusion Models: a Two-Stage Approach to Improving Conditional Human Image Generation
Anton Pelykh
Ozge Mercanoglu
Richard Bowden
DiffM
33
6
0
15 Mar 2024
Does Combining Parameter-efficient Modules Improve Few-shot Transfer
  Accuracy?
Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?
Nader Asadi
Mahdi Beitollahi
Yasser H. Khalil
Yinchuan Li
Guojun Zhang
Xi Chen
MoMe
37
8
0
23 Feb 2024
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
Zhixuan Liu
Peter Schaldenbrand
Beverley-Claire Okogwu
Wenxuan Peng
Youngsik Yun
Andrew Hundt
Jihie Kim
Jean Oh
39
16
0
16 Jan 2024
NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of
  Interpretable Directions in Diffusion Models
NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
Yusuf Dalva
Pinar Yanardag
DiffM
26
18
0
08 Dec 2023
Reinforcement Learning from Diffusion Feedback: Q* for Image Search
Reinforcement Learning from Diffusion Feedback: Q* for Image Search
Aboli Rajan Marathe
VLM
41
0
0
27 Nov 2023
12
Next