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Universal Guidance for Diffusion Models

Universal Guidance for Diffusion Models

14 February 2023
Arpit Bansal
Hong-Min Chu
Avi Schwarzschild
Soumyadip Sengupta
Micah Goldblum
Jonas Geiping
Tom Goldstein
    VLM
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Papers citing "Universal Guidance for Diffusion Models"

50 / 197 papers shown
Title
G2D2: Gradient-guided Discrete Diffusion for image inverse problem
  solving
G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving
Naoki Murata
Chieh-Hsin Lai
Yuhta Takida
Toshimitsu Uesaka
Bac Nguyen
Stefano Ermon
Yuki Mitsufuji
DiffM
62
1
0
09 Oct 2024
Chemistry-Inspired Diffusion with Non-Differentiable Guidance
Chemistry-Inspired Diffusion with Non-Differentiable Guidance
Yuchen Shen
Chenhao Zhang
Sijie Fu
Chenghui Zhou
Newell Washburn
Barnabás Póczos
55
0
0
09 Oct 2024
Training-free Diffusion Model Alignment with Sampling Demons
Training-free Diffusion Model Alignment with Sampling Demons
Po-Hung Yeh
Kuang-Huei Lee
Jun-Cheng Chen
39
4
0
08 Oct 2024
AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models
AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models
Artur Kasymov
Marcin Sendera
Michał Stypułkowski
Maciej Ziȩba
P. Spurek
33
1
0
04 Oct 2024
Online Posterior Sampling with a Diffusion Prior
Online Posterior Sampling with a Diffusion Prior
B. Kveton
Boris Oreshkin
Youngsuk Park
Aniket Deshmukh
Rui Song
DiffM
40
0
0
04 Oct 2024
Event-Customized Image Generation
Event-Customized Image Generation
Zhen Wang
Yilei Jiang
Dong Zheng
Jun Xiao
Long Chen
DiffM
26
1
0
03 Oct 2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
Marcel Kollovieh
Marten Lienen
David Lüdke
Leo Schwinn
Stephan Günnemann
AI4TS
BDL
DiffM
45
4
0
03 Oct 2024
Conditional Image Synthesis with Diffusion Models: A Survey
Conditional Image Synthesis with Diffusion Models: A Survey
Zheyuan Zhan
Defang Chen
Jian-Ping Mei
Zhenghe Zhao
Jiawei Chen
Chun Chen
Siwei Lyu
Can Wang
VLM
45
5
0
28 Sep 2024
TFG: Unified Training-Free Guidance for Diffusion Models
TFG: Unified Training-Free Guidance for Diffusion Models
Haotian Ye
Haowei Lin
Jiaqi Han
Minkai Xu
Sheng Liu
Yitao Liang
Jianzhu Ma
James Zou
Stefano Ermon
36
14
0
24 Sep 2024
ImPoster: Text and Frequency Guidance for Subject Driven Action
  Personalization using Diffusion Models
ImPoster: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion Models
D. Kothandaraman
Kuldeep Kulkarni
Sumit Shekhar
Balaji Vasan Srinivasan
Dinesh Manocha
DiffM
46
1
0
24 Sep 2024
D3RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic
  Robotic Manipulation
D3RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic Robotic Manipulation
Songlin Wei
Haoran Geng
Jiayi Chen
Congyue Deng
Wenbo Cui
Chengyang Zhao
Xiaomeng Fang
Leonidas J. Guibas
He Wang
MDE
60
7
0
22 Sep 2024
Latent Diffusion Models for Controllable RNA Sequence Generation
Latent Diffusion Models for Controllable RNA Sequence Generation
Kaixuan Huang
Yukang Yang
Kaidi Fu
Yanyi Chu
Le Cong
Mengdi Wang
47
1
0
15 Sep 2024
Training-Free Guidance for Discrete Diffusion Models for Molecular
  Generation
Training-Free Guidance for Discrete Diffusion Models for Molecular Generation
Thomas J. Kerby
Kevin R. Moon
29
2
0
11 Sep 2024
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative Refinement
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative Refinement
Jia-Wei Liao
Winston Wang
Tzu-Sian Wang
Li-Xuan Peng
Ju-Hsuan Weng
Cheng-Fu Chou
Jun-Cheng Chen
DiffM
51
1
0
10 Sep 2024
Constrained Diffusion Models via Dual Training
Constrained Diffusion Models via Dual Training
Shervin Khalafi
Dongsheng Ding
Alejandro Ribeiro
42
3
0
27 Aug 2024
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
Xiaojuan Wang
Boyang Zhou
Brian L. Curless
Ira Kemelmacher-Shlizerman
Aleksander Holynski
Steven M. Seitz
DiffM
58
10
0
27 Aug 2024
Compress Guidance in Conditional Diffusion Sampling
Compress Guidance in Conditional Diffusion Sampling
Anh-Dung Dinh
Daochang Liu
Chang Xu
22
0
0
20 Aug 2024
Derivative-Free Guidance in Continuous and Discrete Diffusion Models
  with Soft Value-Based Decoding
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding
Xiner Li
Yulai Zhao
Chenyu Wang
Gabriele Scalia
Gökçen Eraslan
Surag Nair
Tommaso Biancalani
Aviv Regev
Sergey Levine
Masatoshi Uehara
54
23
0
15 Aug 2024
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative
  Generation
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation
Jack Lu
Ryan Teehan
Mengye Ren
DiffM
27
3
0
05 Aug 2024
CoCoG-2: Controllable generation of visual stimuli for understanding
  human concept representation
CoCoG-2: Controllable generation of visual stimuli for understanding human concept representation
Chen Wei
Jiachen Zou
Dietmar Heinke
Quanying Liu
35
0
0
20 Jul 2024
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion
  Models: A Tutorial and Review
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
Masatoshi Uehara
Yulai Zhao
Tommaso Biancalani
Sergey Levine
63
22
0
18 Jul 2024
No Training, No Problem: Rethinking Classifier-Free Guidance for
  Diffusion Models
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models
Seyedmorteza Sadat
Manuel Kansy
Otmar Hilliges
Romann M. Weber
36
10
0
02 Jul 2024
Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization
Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization
D. Wu
Nikki Lijing Kuang
Ruijia Niu
Yi Ma
Rose Yu
47
0
0
30 Jun 2024
Aligning Diffusion Models with Noise-Conditioned Perception
Aligning Diffusion Models with Noise-Conditioned Perception
Alexander Gambashidze
Anton Kulikov
Yuriy Sosnin
Ilya Makarov
47
5
0
25 Jun 2024
General Binding Affinity Guidance for Diffusion Models in
  Structure-Based Drug Design
General Binding Affinity Guidance for Diffusion Models in Structure-Based Drug Design
Yue Jian
Curtis Wu
Danny Reidenbach
Aditi S. Krishnapriyan
34
1
0
24 Jun 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models
Neural Approximate Mirror Maps for Constrained Diffusion Models
Berthy T. Feng
Ricardo Baptista
Katherine L. Bouman
MedIm
DiffM
48
3
0
18 Jun 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
57
3
0
17 Jun 2024
Ctrl-X: Controlling Structure and Appearance for Text-To-Image
  Generation Without Guidance
Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance
Kuan Heng Lin
Sicheng Mo
Ben Klingher
Fangzhou Mu
Bolei Zhou
DiffM
34
15
0
11 Jun 2024
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise
  Optimization
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
L. Eyring
Shyamgopal Karthik
Karsten Roth
Alexey Dosovitskiy
Zeynep Akata
78
17
0
06 Jun 2024
Dreamguider: Improved Training free Diffusion-based Conditional
  Generation
Dreamguider: Improved Training free Diffusion-based Conditional Generation
Nithin Gopalakrishnan Nair
Vishal M. Patel
35
2
0
04 Jun 2024
Segmentation-Free Guidance for Text-to-Image Diffusion Models
Segmentation-Free Guidance for Text-to-Image Diffusion Models
K. Azarian
Debasmit Das
Qiqi Hou
Fatih Porikli
VLM
54
0
0
03 Jun 2024
Improving GFlowNets for Text-to-Image Diffusion Alignment
Improving GFlowNets for Text-to-Image Diffusion Alignment
Dinghuai Zhang
Yizhe Zhang
Jiatao Gu
Ruixiang Zhang
J. Susskind
Navdeep Jaitly
Shuangfei Zhai
EGVM
98
7
0
02 Jun 2024
Bridging Model-Based Optimization and Generative Modeling via
  Conservative Fine-Tuning of Diffusion Models
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models
Masatoshi Uehara
Yulai Zhao
Ehsan Hajiramezanali
Gabriele Scalia
Gökçen Eraslan
Avantika Lal
Sergey Levine
Tommaso Biancalani
53
13
0
30 May 2024
Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map
  Filtering
Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering
Ido Sobol
Chenfeng Xu
Or Litany
DiffM
35
1
0
29 May 2024
Collaborative Video Diffusion: Consistent Multi-video Generation with
  Camera Control
Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control
Zhengfei Kuang
Shengqu Cai
Hao He
Yinghao Xu
Hongsheng Li
Leonidas J. Guibas
Gordon Wetzstein
VGen
DiffM
44
30
0
27 May 2024
Transfer Learning for Diffusion Models
Transfer Learning for Diffusion Models
Yidong Ouyang
Liyan Xie
Hongyuan Zha
Guang Cheng
DiffM
57
2
0
27 May 2024
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance
Jiannan Huang
Jun Hao Liew
Hanshu Yan
Yuyang Yin
Yao Zhao
Yunchao Wei
Yunchao Wei
DiffM
90
6
0
27 May 2024
Video Diffusion Models are Training-free Motion Interpreter and
  Controller
Video Diffusion Models are Training-free Motion Interpreter and Controller
Zeqi Xiao
Yifan Zhou
Shuai Yang
Xingang Pan
VGen
69
17
0
23 May 2024
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
Zhicheng Sun
Zhenhao Yang
Yang Jin
Haozhe Chi
Kun Xu
...
Hao Jiang
Di Zhang
Yang Song
Kun Gai
Yadong Mu
37
3
0
23 May 2024
Enhancing Image Layout Control with Loss-Guided Diffusion Models
Enhancing Image Layout Control with Loss-Guided Diffusion Models
Zakaria Patel
Kirill Serkh
DiffM
36
3
0
23 May 2024
AdjointDEIS: Efficient Gradients for Diffusion Models
AdjointDEIS: Efficient Gradients for Diffusion Models
Zander Blasingame
Chen Liu
DiffM
49
2
0
23 May 2024
Learning Diffusion Priors from Observations by Expectation Maximization
Learning Diffusion Priors from Observations by Expectation Maximization
François Rozet
Gérome Andry
F. Lanusse
Gilles Louppe
DiffM
45
15
0
22 May 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
Yiyuan Yang
Ming Jin
Haomin Wen
Chaoli Zhang
Yuxuan Liang
...
Bin Yang
Zenglin Xu
Jiang Bian
Shirui Pan
Qingsong Wen
DiffM
AI4TS
SyDa
37
39
0
29 Apr 2024
CoCoG: Controllable Visual Stimuli Generation based on Human Concept
  Representations
CoCoG: Controllable Visual Stimuli Generation based on Human Concept Representations
Chen Wei
Jiachen Zou
Dietmar Heinke
Quanying Liu
48
3
0
25 Apr 2024
CharacterFactory: Sampling Consistent Characters with GANs for Diffusion
  Models
CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models
Qinghe Wang
Baolu Li
Xiaomin Li
Bing Cao
Liqian Ma
Huchuan Lu
Xu Jia
DiffM
42
6
0
24 Apr 2024
Gradient Guidance for Diffusion Models: An Optimization Perspective
Gradient Guidance for Diffusion Models: An Optimization Perspective
Yingqing Guo
Hui Yuan
Yukang Yang
Minshuo Chen
Mengdi Wang
27
20
0
23 Apr 2024
LTOS: Layout-controllable Text-Object Synthesis via Adaptive
  Cross-attention Fusions
LTOS: Layout-controllable Text-Object Synthesis via Adaptive Cross-attention Fusions
Xiaoran Zhao
Tianhao Wu
Yu Lai
Zhiliang Tian
Zhen Huang
Yahui Liu
Zejiang He
Dongsheng Li
DiffM
38
1
0
21 Apr 2024
All-in-one simulation-based inference
All-in-one simulation-based inference
Manuel Gloeckler
Michael Deistler
Christian Weilbach
Frank D. Wood
Jakob H. Macke
34
26
0
15 Apr 2024
PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI
PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI
Yandan Yang
Baoxiong Jia
Peiyuan Zhi
Siyuan Huang
LM&Ro
VGen
49
42
0
15 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation,
  Statistical Rates and Optimization
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
Minshuo Chen
Song Mei
Jianqing Fan
Mengdi Wang
VLM
MedIm
DiffM
37
48
0
11 Apr 2024
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