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ReEdit: Multimodal Exemplar-Based Image Editing with Diffusion Models

ReEdit: Multimodal Exemplar-Based Image Editing with Diffusion Models

6 November 2024
Ashutosh Srivastava
Tarun Ram Menta
Abhinav Java
Avadhoot Jadhav
Silky Singh
Surgan Jandial
Balaji Krishnamurthy
    DiffM
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Papers citing "ReEdit: Multimodal Exemplar-Based Image Editing with Diffusion Models"

35 / 35 papers shown
Title
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based
  Image Manipulation
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
Yasheng Sun
Yifan Yang
Houwen Peng
Yifei Shen
Yuqing Yang
Hang-Rui Hu
Lili Qiu
Hideki Koike
DiffM
LM&Ro
59
38
0
02 Aug 2023
Visual Instruction Tuning
Visual Instruction Tuning
Haotian Liu
Chunyuan Li
Qingyang Wu
Yong Jae Lee
SyDa
VLM
MLLM
433
4,715
0
17 Apr 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
105
4,074
1
10 Feb 2023
SINE: SINgle Image Editing with Text-to-Image Diffusion Models
SINE: SINgle Image Editing with Text-to-Image Diffusion Models
Zhixing Zhang
Ligong Han
Arna Ghosh
Dimitris N. Metaxas
Jian Ren
DiffM
105
159
0
08 Dec 2022
Images Speak in Images: A Generalist Painter for In-Context Visual
  Learning
Images Speak in Images: A Generalist Painter for In-Context Visual Learning
Xinlong Wang
Wen Wang
Yue Cao
Chunhua Shen
Tiejun Huang
VLM
MLLM
103
255
0
05 Dec 2022
InstructPix2Pix: Learning to Follow Image Editing Instructions
InstructPix2Pix: Learning to Follow Image Editing Instructions
Tim Brooks
Aleksander Holynski
Alexei A. Efros
DiffM
176
1,792
0
17 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
124
498
0
20 Oct 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for
  Subject-Driven Generation
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz
Yuanzhen Li
Varun Jampani
Yael Pritch
Michael Rubinstein
Kfir Aberman
247
2,832
0
25 Aug 2022
Prompt-to-Prompt Image Editing with Cross Attention Control
Prompt-to-Prompt Image Editing with Cross Attention Control
Amir Hertz
Ron Mokady
J. Tenenbaum
Kfir Aberman
Yael Pritch
Daniel Cohen-Or
DiffM
150
1,765
0
02 Aug 2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using
  Textual Inversion
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
109
1,862
0
02 Aug 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
171
3,882
0
26 Jul 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Jiahui Yu
Yuanzhong Xu
Jing Yu Koh
Thang Luong
Gunjan Baid
...
Zarana Parekh
Xin Li
Han Zhang
Jason Baldridge
Yonghui Wu
EGVM
176
1,110
0
22 Jun 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
350
6,830
0
13 Apr 2022
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Oran Gafni
Adam Polyak
Oron Ashual
Shelly Sheynin
Devi Parikh
Yaniv Taigman
DiffM
57
520
0
24 Mar 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
239
30,108
0
01 Mar 2022
Third Time's the Charm? Image and Video Editing with StyleGAN3
Third Time's the Charm? Image and Video Editing with StyleGAN3
Yuval Alaluf
Or Patashnik
Zongze Wu
Asif Zamir
Eli Shechtman
Dani Lischinski
Daniel Cohen-Or
DiffM
VGen
57
69
0
31 Jan 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
Guosheng Lin
MLLM
BDL
VLM
CLIP
501
4,324
0
28 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
365
15,373
0
20 Dec 2021
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
296
3,582
0
20 Dec 2021
FLAVA: A Foundational Language And Vision Alignment Model
FLAVA: A Foundational Language And Vision Alignment Model
Amanpreet Singh
Ronghang Hu
Vedanuj Goswami
Guillaume Couairon
Wojciech Galuba
Marcus Rohrbach
Douwe Kiela
CLIP
VLM
84
706
0
08 Dec 2021
Blended Diffusion for Text-driven Editing of Natural Images
Blended Diffusion for Text-driven Editing of Natural Images
Omri Avrahami
Dani Lischinski
Ohad Fried
DiffM
99
943
0
29 Nov 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Jooyoung Choi
Sungwon Kim
Yonghyun Jeong
Youngjune Gwon
Sungroh Yoon
DiffM
116
714
0
06 Aug 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential
  Equations
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Chenlin Meng
Yutong He
Yang Song
Jiaming Song
Jiajun Wu
Jun-Yan Zhu
Stefano Ermon
DiffM
130
1,484
0
02 Aug 2021
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
Rinon Gal
Or Patashnik
Haggai Maron
Gal Chechik
Daniel Cohen-Or
CLIP
VLM
72
226
0
02 Aug 2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning
CLIPScore: A Reference-free Evaluation Metric for Image Captioning
Jack Hessel
Ari Holtzman
Maxwell Forbes
Ronan Le Bras
Yejin Choi
CLIP
117
1,545
0
18 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
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
822
29,167
0
26 Feb 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
385
4,919
0
24 Feb 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
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
294
6,409
0
26 Nov 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
213
7,294
0
06 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
510
17,888
0
19 Jun 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
532
10,540
0
12 Dec 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
327
11,734
0
11 Jan 2018
Visual Attribute Transfer through Deep Image Analogy
Visual Attribute Transfer through Deep Image Analogy
Jing Liao
Yuan Yao
Lu Yuan
G. Hua
S. B. Kang
FAtt
GAN
OOD
70
519
0
02 May 2017
Generative Visual Manipulation on the Natural Image Manifold
Generative Visual Manipulation on the Natural Image Manifold
Jun-Yan Zhu
Philipp Krahenbuhl
Eli Shechtman
Alexei A. Efros
GAN
69
1,396
0
12 Sep 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.5K
100,213
0
04 Sep 2014
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