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MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation

MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation

16 February 2023
Omer Bar-Tal
Lior Yariv
Y. Lipman
Tali Dekel
ArXivPDFHTML

Papers citing "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation"

50 / 51 papers shown
Title
ISAC: Training-Free Instance-to-Semantic Attention Control for Improving Multi-Instance Generation
ISAC: Training-Free Instance-to-Semantic Attention Control for Improving Multi-Instance Generation
Sanghyun Jo
Wooyeol Lee
Ziseok Lee
Kyungsu Kim
244
0
0
27 May 2025
Creatively Upscaling Images with Global-Regional Priors
Creatively Upscaling Images with Global-Regional Priors
Yurui Qian
Qi Cai
Yingwei Pan
Ting Yao
Tao Mei
DiffM
86
0
0
22 May 2025
HCMA: Hierarchical Cross-model Alignment for Grounded Text-to-Image Generation
HCMA: Hierarchical Cross-model Alignment for Grounded Text-to-Image Generation
Hang Wang
Zhi-Qi Cheng
Chenhao Lin
Chao Shen
Lei Zhang
DiffM
50
0
0
10 May 2025
InstanceGen: Image Generation with Instance-level Instructions
InstanceGen: Image Generation with Instance-level Instructions
Etai Sella
Yanir Kleiman
Hadar Averbuch-Elor
40
0
0
08 May 2025
ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation
ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation
Yunhong Min
Daehyeon Choi
Kyeongmin Yeo
Jihyun Lee
Minhyuk Sung
72
0
0
28 Mar 2025
SyncSDE: A Probabilistic Framework for Diffusion Synchronization
SyncSDE: A Probabilistic Framework for Diffusion Synchronization
Hyunjun Lee
Hyunsoo Lee
Sookwan Han
DiffM
74
0
0
27 Mar 2025
Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models
Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models
Prin Phunyaphibarn
Phillip Y. Lee
Jaihoon Kim
Minhyuk Sung
DiffM
102
0
0
26 Mar 2025
ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models
ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models
Fernando Julio Cendra
Kai Han
VLM
67
0
0
25 Mar 2025
MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space
MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space
Lixing Xiao
Shunlin Lu
Huaijin Pi
Ke Fan
Liang Pan
Yueer Zhou
Ziyong Feng
Xiaowei Zhou
Sida Peng
Jingbo Wang
DiffM
VGen
68
6
0
19 Mar 2025
MOSAIC: Generating Consistent, Privacy-Preserving Scenes from Multiple Depth Views in Multi-Room Environments
MOSAIC: Generating Consistent, Privacy-Preserving Scenes from Multiple Depth Views in Multi-Room Environments
Zhixuan Liu
H. Zhu
R. Chen
Jonathan M Francis
Soonmin Hwang
Jiangning Zhang
Jean Oh
VGen
385
0
0
18 Mar 2025
Consistent Image Layout Editing with Diffusion Models
Tao Xia
Yudi Zhang
Ting Liu Lei Zhang
DiffM
82
1
0
09 Mar 2025
LayerPano3D: Layered 3D Panorama for Hyper-Immersive Scene Generation
LayerPano3D: Layered 3D Panorama for Hyper-Immersive Scene Generation
Shuai Yang
Jing Tan
Mengchen Zhang
Tong Wu
Yongqian Li
Gordon Wetzstein
Ziwei Liu
Dahua Lin
MDE
VGen
80
7
0
24 Feb 2025
Beyond and Free from Diffusion: Invertible Guided Consistency Training
Chia-Hong Hsu
Shiu-hong Kao
Randall Balestriero
3DV
91
0
0
08 Feb 2025
PAID: A Framework of Product-Centric Advertising Image Design
PAID: A Framework of Product-Centric Advertising Image Design
Hongyu Chen
Min Zhou
Jing Jiang
Jiale Chen
Yang Lu
Bo Xiao
T. Ge
Bo Zheng
DiffM
VLM
70
0
0
24 Jan 2025
Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance
Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
96
4
0
20 Jan 2025
Generative Omnimatte: Learning to Decompose Video into Layers
Generative Omnimatte: Learning to Decompose Video into Layers
Yao-Chih Lee
Erika Lu
Sarah Rumbley
Michal Geyer
Jia-Bin Huang
Tali Dekel
Forrester Cole
DiffM
VGen
120
5
0
25 Nov 2024
PanoLlama: Generating Endless and Coherent Panoramas with Next-Token-Prediction LLMs
PanoLlama: Generating Endless and Coherent Panoramas with Next-Token-Prediction LLMs
Teng Zhou
Xiaoyu Zhang
Yongchuan Tang
MLLM
DiffM
131
1
0
24 Nov 2024
KMM: Key Frame Mask Mamba for Extended Motion Generation
KMM: Key Frame Mask Mamba for Extended Motion Generation
Zeyu Zhang
Hang Gao
Akide Liu
Qi Chen
Feng Chen
...
Hao Tang
Zhenming Li
Zhongwen Zhou
Hao Tang
Bohan Zhuang
Mamba
VGen
73
3
0
10 Nov 2024
Multi-Scale Diffusion: Enhancing Spatial Layout in High-Resolution Panoramic Image Generation
Multi-Scale Diffusion: Enhancing Spatial Layout in High-Resolution Panoramic Image Generation
Xiaoyu Zhang
Teng Zhou
Xinlong Zhang
Jia Wei
Yongchuan Tang
59
2
0
24 Oct 2024
FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling
FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling
Zhengqiang Zhang
Ruihuang Li
Lei Zhang
52
2
0
24 Oct 2024
TopoDiffusionNet: A Topology-aware Diffusion Model
TopoDiffusionNet: A Topology-aware Diffusion Model
Saumya Gupta
Dimitris Samaras
Chong Chen
DiffM
77
4
0
22 Oct 2024
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion
Junhwa Hur
Charles Herrmann
Saurabh Saxena
Janne Kontkanen
Wei-Sheng Lai
Yichang Shih
Michael Rubinstein
David J. Fleet
Deqing Sun
76
0
0
15 Oct 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
Jinghan Li
Yuan Gao
Jinda Lu
Sihang Li
Congcong Wen
Hui Lin
Xiang Wang
73
2
0
09 Oct 2024
LT3SD: Latent Trees for 3D Scene Diffusion
LT3SD: Latent Trees for 3D Scene Diffusion
Quan Meng
Lei Li
Matthias Nießner
Angela Dai
126
12
0
12 Sep 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
70
12
0
27 Aug 2024
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
Phillip Mueller
Lars Mikelsons
AI4CE
54
2
0
15 Jul 2024
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
Yicheng Chen
Xiangtai Li
Yining Li
Yanhong Zeng
Jianzong Wu
Xiangyu Zhao
Kai Chen
VLM
DiffM
74
3
0
28 Jun 2024
Images that Sound: Composing Images and Sounds on a Single Canvas
Images that Sound: Composing Images and Sounds on a Single Canvas
Ziyang Chen
Daniel Geng
Andrew Owens
DiffM
72
9
0
20 May 2024
Factorized Diffusion: Perceptual Illusions by Noise Decomposition
Factorized Diffusion: Perceptual Illusions by Noise Decomposition
Daniel Geng
Inbum Park
Andrew Owens
DiffM
71
16
0
17 Apr 2024
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
Shenghai Yuan
Jinfa Huang
Yujun Shi
Yongqi Xu
Ruijie Zhu
Bin Lin
Xinhua Cheng
Li-xin Yuan
Jiebo Luo
VGen
107
35
0
07 Apr 2024
ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models
ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models
Jiaxiang Cheng
Pan Xie
Xin Xia
Jiashi Li
Jie Wu
Yuxi Ren
Huixia Li
Xuefeng Xiao
Min Zheng
Lean Fu
68
12
0
04 Mar 2024
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images
Zhuoran Yu
Chenchen Zhu
Sean Culatana
Raghuraman Krishnamoorthi
Fanyi Xiao
Yong Jae Lee
134
15
0
04 Dec 2023
ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separation
ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separation
Moayed Haji-Ali
Guha Balakrishnan
Vicente Ordonez
86
25
0
30 Nov 2023
Expressive Text-to-Image Generation with Rich Text
Expressive Text-to-Image Generation with Rich Text
Songwei Ge
Taesung Park
Jun-Yan Zhu
Jia-Bin Huang
DiffM
97
80
0
13 Apr 2023
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
105
576
0
02 Nov 2022
DiffEdit: Diffusion-based semantic image editing with mask guidance
DiffEdit: Diffusion-based semantic image editing with mask guidance
Guillaume Couairon
Jakob Verbeek
Holger Schwenk
Matthieu Cord
DiffM
103
490
0
20 Oct 2022
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion
  Image Manipulation
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation
Chaerin Kong
D. Jeon
Oh-Hun Kwon
Nojun Kwak
DiffM
33
17
0
12 Oct 2022
Human Motion Diffusion Model
Human Motion Diffusion Model
Guy Tevet
Sigal Raab
Brian Gordon
Yonatan Shafir
Daniel Cohen-Or
Amit H. Bermano
DiffM
VGen
244
737
0
29 Sep 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
55
3,786
0
26 Jul 2022
Semantic Image Synthesis via Diffusion Models
Semantic Image Synthesis via Diffusion Models
Weilun Wang
Weilun Wang
Wen-gang Zhou
Dongdong Chen
Dong Chen
Lu Yuan
Houqiang Li
DiffM
280
177
0
30 Jun 2022
Blended Latent Diffusion
Blended Latent Diffusion
Omri Avrahami
Ohad Fried
Dani Lischinski
DiffM
90
377
0
06 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling
  in Around 10 Steps
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
123
1,377
0
02 Jun 2022
Pretraining is All You Need for Image-to-Image Translation
Pretraining is All You Need for Image-to-Image Translation
Tengfei Wang
Ting Zhang
Bo Zhang
Hao Ouyang
Dong Chen
Qifeng Chen
Fang Wen
DiffM
216
178
0
25 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLM
DiffM
259
6,768
0
13 Apr 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds
Pseudo Numerical Methods for Diffusion Models on Manifolds
Luping Liu
Yi Ren
Zhijie Lin
Zhou Zhao
DiffM
73
632
0
20 Feb 2022
GLIDE: Towards Photorealistic Image Generation and Editing with
  Text-Guided Diffusion Models
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol
Prafulla Dhariwal
Aditya A. Ramesh
Pranav Shyam
Pamela Mishkin
Bob McGrew
Ilya Sutskever
Mark Chen
195
3,531
0
20 Dec 2021
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
166
2,315
0
02 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul
Nattanat Chatthee
Suttisak Wizadwongsa
Supasorn Suwajanakorn
SyDa
DiffM
93
423
0
30 Nov 2021
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
420
1,617
0
10 Nov 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
289
4,873
0
24 Feb 2021
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