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Palette: Image-to-Image Diffusion Models
v1v2 (latest)

Palette: Image-to-Image Diffusion Models

International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2021
10 November 2021
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
    DiffMVLM
ArXiv (abs)PDFHTML

Papers citing "Palette: Image-to-Image Diffusion Models"

50 / 1,078 papers shown
DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion
DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion
Huiguo He
Huan Yang
Zixi Tuo
Yuan Zhou
Qiuyue Wang
Yuhang Zhang
Zeyu Liu
Wenhao Huang
Hongyang Chao
Jian Yin
VGenDiffM
556
28
0
17 Jul 2024
Temporal Residual Guided Diffusion Framework for Event-Driven Video
  Reconstruction
Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction
Lin Zhu
Yunlong Zheng
Yijun Zhang
Tianlin Li
Lizhi Wang
Hua Huang
VGenDiffM
244
5
0
15 Jul 2024
InsertDiffusion: Identity Preserving Visualization of Objects through a
  Training-Free Diffusion Architecture
InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture
Phillip Mueller
Jannik Wiese
Ioan Crăciun
Lars Mikelsons
277
5
0
15 Jul 2024
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement
  using Pre-trained Video Diffusion Models
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models
Qinyu Yang
Haoxin Chen
Yong Zhang
Menghan Xia
Xiaodong Cun
Zhixun Su
Ying Shan
DiffM
214
3
0
14 Jul 2024
PSC: Posterior Sampling-Based Compression
PSC: Posterior Sampling-Based Compression
Noam Elata
T. Michaeli
Michael Elad
DiffM
355
0
0
13 Jul 2024
LightenDiffusion: Unsupervised Low-Light Image Enhancement with
  Latent-Retinex Diffusion Models
LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models
Hai Jiang
Ao Luo
Xiaohong Liu
Songchen Han
Shuaicheng Liu
DiffM
237
94
0
12 Jul 2024
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Noam Elata
T. Michaeli
Michael Elad
DiffMMedIm
247
12
0
11 Jul 2024
Coherent and Multi-modality Image Inpainting via Latent Space
  Optimization
Coherent and Multi-modality Image Inpainting via Latent Space Optimization
Lingzhi Pan
Tong Zhang
Bingyuan Chen
Qi Zhou
Wei Ke
Sabine Süsstrunk
Mathieu Salzmann
DiffM
142
3
0
10 Jul 2024
Controlling Space and Time with Diffusion Models
Controlling Space and Time with Diffusion Models
Daniel Watson
Saurabh Saxena
Lala Li
Andrea Tagliasacchi
David J. Fleet
VGen
458
54
0
10 Jul 2024
Accelerating Diffusion for SAR-to-Optical Image Translation via
  Adversarial Consistency Distillation
Accelerating Diffusion for SAR-to-Optical Image Translation via Adversarial Consistency Distillation
Xinyu Bai
Feng Xu
160
7
0
08 Jul 2024
Image-Conditional Diffusion Transformer for Underwater Image Enhancement
Image-Conditional Diffusion Transformer for Underwater Image Enhancement
Xingyang Nie
Su Pan
Xiaoyu Zhai
Shifei Tao
Fengzhong Qu
Biao Wang
Huilin Ge
Guojie Xiao
175
3
0
07 Jul 2024
Multi-scale Conditional Generative Modeling for Microscopic Image
  Restoration
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration
Luzhe Huang
Xiongye Xiao
Shixuan Li
Jiawen Sun
Yi Huang
Aydogan Ozcan
Paul Bogdan
MedImDiffM
194
5
0
07 Jul 2024
Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D
  Brownian Bridge Diffusion Model
Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model
Kyobin Choo
Youngjun Jun
Mijin Yun
Seong Jae Hwang
MedIm
232
14
0
06 Jul 2024
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation
Jian Qian
Miao Sun
Sifan Zhou
Biao Wan
Minhao Li
Patrick Chiang
348
12
0
05 Jul 2024
Timestep-Aware Correction for Quantized Diffusion Models
Timestep-Aware Correction for Quantized Diffusion Models
Yuzhe Yao
Feng Tian
Jun Chen
Haonan Lin
Guang Dai
Yong Liu
Jingdong Wang
DiffMMQ
228
11
0
04 Jul 2024
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts
Zheng-Peng Duan
Jiawei Zhang
Zheng Lin
Xin Jin
Dongqing Zou
Chunle Guo
Chongyi Li
DiffM
213
6
0
04 Jul 2024
Magic Insert: Style-Aware Drag-and-Drop
Magic Insert: Style-Aware Drag-and-Drop
Nataniel Ruiz
Yuanzhen Li
Neal Wadhwa
Yael Pritch
Michael Rubinstein
David E. Jacobs
Shlomi Fruchter
DiffM
285
16
0
02 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
374
37
0
02 Jul 2024
Label-free Neural Semantic Image Synthesis
Label-free Neural Semantic Image Synthesis
Jiayi Wang
Kevin Laube
Yumeng Li
J. H. Metzen
Shin-I Cheng
Julio Borges
Anna Khoreva
DiffM
362
0
0
01 Jul 2024
Semantic-guided Adversarial Diffusion Model for Self-supervised Shadow
  Removal
Semantic-guided Adversarial Diffusion Model for Self-supervised Shadow Removal
Ziqi Zeng
Chen Zhao
Weiling Cai
Chenyu Dong
DiffM
245
5
0
01 Jul 2024
An Expectation-Maximization Algorithm for Training Clean Diffusion
  Models from Corrupted Observations
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations
Weimin Bai
Yifei Wang
Wenzheng Chen
He Sun
328
17
0
01 Jul 2024
Posterior Sampling with Denoising Oracles via Tilted Transport
Posterior Sampling with Denoising Oracles via Tilted Transport
Joan Bruna
Jiequn Han
DiffMMedIm
228
11
0
30 Jun 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
VLMDiffM
427
3
0
28 Jun 2024
DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis
  through Structure Guidance
DiffuseHigh: Training-free Progressive High-Resolution Image Synthesis through Structure Guidance
Younghyun Kim
Geunmin Hwang
Junyu Zhang
Eunbyung Park
690
26
0
26 Jun 2024
Molecular Diffusion Models with Virtual Receptors
Molecular Diffusion Models with Virtual Receptors
Matan Halfon
Eyal Rozenberg
Ehud Rivlin
Daniel Freedman
218
0
0
26 Jun 2024
Diffusion Model-Based Video Editing: A Survey
Diffusion Model-Based Video Editing: A Survey
Wenhao Sun
Rong-Cheng Tu
Jingyi Liao
Dacheng Tao
VGen
329
34
0
26 Jun 2024
DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation
DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation
Yuang Peng
Yuxin Cui
Haomiao Tang
Zekun Qi
Runpei Dong
Jing Bai
Chunrui Han
Zheng Ge
Xiangyu Zhang
Shu-Tao Xia
EGVM
459
90
0
24 Jun 2024
CollaFuse: Collaborative Diffusion Models
CollaFuse: Collaborative Diffusion Models
Simeon Allmendinger
Domenique Zipperling
Lukas Struppek
Niklas Kühl
244
3
0
20 Jun 2024
Planning Using Schrödinger Bridge Diffusion Models
Planning Using Schrödinger Bridge Diffusion Models
Adarsh Srivastava
OffRLDiffM
146
0
0
18 Jun 2024
AnyTrans: Translate AnyText in the Image with Large Scale Models
AnyTrans: Translate AnyText in the Image with Large Scale Models
Zhipeng Qian
Pei Zhang
Baosong Yang
Kai Fan
Yiwei Ma
Yang Li
Xiaoshuai Sun
Rongrong Ji
VLM
249
3
0
17 Jun 2024
Diffusion Models in Low-Level Vision: A Survey
Diffusion Models in Low-Level Vision: A Survey
Chunming He
Yuqi Shen
Chengyu Fang
Fengyang Xiao
Longxiang Tang
Yulun Zhang
W. Zuo
Zhenhua Guo
Xiu Li
VLMDiffMMedIm
519
94
0
17 Jun 2024
A Comprehensive Taxonomy and Analysis of Talking Head Synthesis:
  Techniques for Portrait Generation, Driving Mechanisms, and Editing
A Comprehensive Taxonomy and Analysis of Talking Head Synthesis: Techniques for Portrait Generation, Driving Mechanisms, and Editing
Ming Meng
Yufei Zhao
Bo Zhang
Yonggui Zhu
Weimin Shi
Maxwell Wen
Zhaoxin Fan
VGen
350
6
0
15 Jun 2024
Self-Supervised Vision Transformer for Enhanced Virtual Clothes Try-On
Self-Supervised Vision Transformer for Enhanced Virtual Clothes Try-On
Lingxiao Lu
Shengyi Wu
Haoxuan Sun
Junhong Gou
Jianlou Si
Chen Qian
Jianfu Zhang
Liqing Zhang
ViTDiffM
160
1
0
15 Jun 2024
Xi-Net: Transformer Based Seismic Waveform Reconstructor
Xi-Net: Transformer Based Seismic Waveform ReconstructorInternational Conference on Information Photonics (ICIP), 2023
Anshuman Gaharwar
P. Kulkarni
Joshua Dickey
Mubarak Shah
159
3
0
14 Jun 2024
Unsupervised Monocular Depth Estimation Based on Hierarchical Feature-Guided Diffusion
Unsupervised Monocular Depth Estimation Based on Hierarchical Feature-Guided Diffusion
Runze Liu
Dongchen Zhu
Guanghui Zhang
Yue Xu
Wenjun Shi
Xiaolin Zhang
Lei Wang
Jiamao Li
MDEDiffM
245
2
0
14 Jun 2024
FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent
  Font Effect Generation
FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generation
Xinzhi Mu
Li Chen
Bohan Chen
Shuyang Gu
Jianmin Bao
Dong Chen
Ji Li
Yuhui Yuan
DiffM
182
9
0
12 Jun 2024
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion
  Models
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
Hyungjin Chung
Jeongsol Kim
Geon Yeong Park
Hyelin Nam
Jong Chul Ye
DiffM
218
74
0
12 Jun 2024
Image Neural Field Diffusion Models
Image Neural Field Diffusion Models
Yinbo Chen
Oliver Wang
Richard Zhang
Eli Shechtman
Xiaolong Wang
Michael Gharbi
DiffM
290
11
0
11 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
339
6
0
11 Jun 2024
Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for
  Zero-shot Motion Transfer
Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer
Sigal Raab
Inbar Gat
Nathan Sala
Guy Tevet
Rotem Shalev-Arkushin
Ohad Fried
Amit H. Bermano
Daniel Cohen-Or
218
22
0
10 Jun 2024
ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields
  with Diffusion Models
ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Meng-Li Shih
Wei-Chiu Ma
Aleksander Holyñski
Forrester Cole
Brian L. Curless
Janne Kontkanen
200
6
0
10 Jun 2024
OmniControlNet: Dual-stage Integration for Conditional Image Generation
OmniControlNet: Dual-stage Integration for Conditional Image Generation
Yilin Wang
Haiyang Xu
Xiang Zhang
Zeyuan Chen
Zhizhou Sha
Zirui Wang
Zhuowen Tu
VLM
292
22
0
09 Jun 2024
Diffusion-based Generative Image Outpainting for Recovery of
  FOV-Truncated CT Images
Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT ImagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Michelle Espranita Liman
Daniel Rueckert
Florian J. Fintelmann
Philip Muller
MedImDiffM
78
2
0
07 Jun 2024
M&M VTO: Multi-Garment Virtual Try-On and Editing
M&M VTO: Multi-Garment Virtual Try-On and EditingComputer Vision and Pattern Recognition (CVPR), 2024
Luyang Zhu
Yingwei Li
Nan Liu
Hao Peng
Dawei Yang
Ira Kemelmacher-Shlizerman
DiffM
177
26
0
06 Jun 2024
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
BitsFusion: 1.99 bits Weight Quantization of Diffusion ModelNeural Information Processing Systems (NeurIPS), 2024
Yang Sui
Yanyu Li
Vidit Goel
Yerlan Idelbayev
Junli Cao
Ju Hu
Dhritiman Sagar
Bo Yuan
Sergey Tulyakov
Jian Ren
MQ
269
38
0
06 Jun 2024
Diffusion-based image inpainting with internal learning
Diffusion-based image inpainting with internal learningEuropean Signal Processing Conference (EUSIPCO), 2024
Nicolas Cherel
Andrés Almansa
Y. Gousseau
A. Newson
DiffM
239
1
0
06 Jun 2024
Single Exposure Quantitative Phase Imaging with a Conventional
  Microscope using Diffusion Models
Single Exposure Quantitative Phase Imaging with a Conventional Microscope using Diffusion ModelsAAAI Conference on Artificial Intelligence (AAAI), 2024
Gabriel della Maggiora
L. Croquevielle
Harry Horsley
Thomas Heinis
Artur Yakimovich
MedIm
209
1
0
06 Jun 2024
Pi-fusion: Physics-informed diffusion model for learning fluid dynamics
Pi-fusion: Physics-informed diffusion model for learning fluid dynamics
Jing Qiu
Jiancheng Huang
Xiangdong Zhang
Zeng Lin
Minglei Pan
Zengding Liu
F. Miao
AI4CE
252
4
0
06 Jun 2024
U-KAN Makes Strong Backbone for Medical Image Segmentation and
  Generation
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
Chenxin Li
Xinyu Liu
Wenbo Li
Cheng Wang
Hengyu Liu
Yifan Liu
Daming Gao
Yixuan Yuan
MedImDiffMSSeg
408
316
0
05 Jun 2024
Dreamguider: Improved Training free Diffusion-based Conditional
  Generation
Dreamguider: Improved Training free Diffusion-based Conditional Generation
Nithin Gopalakrishnan Nair
Vishal M. Patel
286
3
0
04 Jun 2024
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