**Here is the Paper Name**<br>
*[Author 1](homepage), Author 2, and Author 3.*<br>
Conference or Journal Year. [[PDF](link)] <br>
[[Project](link)] [[Github](link)] [[Video](link)] [[Data](link)]Download all PDF files
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HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models
Hanzhang Wang, Haoran Wang, Jinze Yang, Zhongrui Yu, Zeke Xie, Lei Tian, Xinyan Xiao, Junjun Jiang, Xianming Liu, Mingming Sun.
arXiv 2024. [PDF]
F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation
Man M. Ho, Shikha Dubey, Yosep Chong, Beatrice Knudsen, Tolga Tasdizen.
arXiv 2024. [PDF]
UNLEARNCANVAS: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models
Yihua Zhang, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Xiaoming Liu, Sijia Liu.
arXiv 2024. [PDF]
GeoDiffuser: Geometry-Based Image Editing with Diffusion Models
Rahul Sajnani, Jeroen Vanbaar, Jie Min, Kapil Katyal, Srinath Sridhar.
arXiv 2024. [PDF]
Optical Image-to-Image Translation Using Denoising Diffusion Models: Heterogeneous Change Detection as a Use Case
Joao Gabriel Vinholi, Marco Chini, Anis Amziane, Renato Machado, Danilo Silva, Patrick Matgen.
arXiv 2024. [PDF]
Image Translation as Diffusion Visual Programmers
Cheng Han, James C. Liang, Qifan Wang, Majid Rabbani, Sohail Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu.
arXiv 2024. [PDF]
MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond
Yupei Lin, Xiaoyu Xian, Yukai Shi, Liang Lin.
arXiv 2024. [PDF]
One-Shot Structure-Aware Stylized Image Synthesis
Hansam Cho, Jonghyun Lee, Seunggyu Chang, Yonghyun Jeong.
CVPR 2024. [PDF]
Artfusion: A Diffusion Model-Based Style Synthesis Framework for Portraits
Hyemin Yang, Heekyung Yang, Kyungha Min.
Electronics 2024. [Paper]
Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt
Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin, Wei Xing, Juncheng Mo, Shuaicheng Huang, Jinheng Xie, Guangyuan Li, Junsheng Luan, Lei Zhao, Dalong Zhang, Lixia Chen.
arXiv 2024. [PDF]
Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer
Jiwoo Chung, Sangeek Hyun, Jae-Pil Heo.
arXiv 2023. [PDF]
Diffusion Cocktail: Fused Generation from Diffusion Models
Haoming Liu, Yuanhe Guo, Shengjie Wang, Hongyi Wen.
arXiv 2023. [PDF]
Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention
Jianjin Xu, Saman Motamed, Praneetha Vaddamanu, Chen Henry Wu, Christian Haene, Jean-Charles Bazin, Fernando de la Torre.
arXiv 2023. [PDF]
Open-DDVM: A Reproduction and Extension of Diffusion Model for Optical Flow Estimation
Qiaole Dong, Bo Zhao, Yanwei Fu.
arXiv 2023. [PDF]
S2ST: Image-to-Image Translation in the Seed Space of Latent Diffusion
Or Greenberg, Eran Kishon, Dani Lischinski.
arXiv 2023. [PDF]
Z*: Zero-shot Style Transfer via Attention Rearrangement
Yingying Deng, Xiangyu He, Fan Tang, Weiming Dong.
arXiv 2023. [PDF]
ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors
Jingwen Chen, Yingwei Pan, Ting Yao, Tao Mei.
arXiv 2023. [PDF]
ycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
Sihan Xu, Ziqiao Ma, Yidong Huang, Honglak Lee, Joyce Chai.
arXiv 2023. [PDF]
Latent Diffusion Counterfactual Explanations
Karim Farid, Simon Schrodi, Max Argus, Thomas Brox.
arXiv 2023. [PDF]
MedPrompt: Cross-Modal Prompting for Multi-Task Medical Image Translation
Xuhang Chen, Chi-Man Pun, Shuqiang Wang.
arXiv 2023. [PDF]
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis
Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal M. Patel, Tim K. Marks.
arXiv 2023. [PDF]
Denoising Diffusion Bridge Models
Linqi Zhou, Aaron Lou, Samar Khanna, Stefano Ermon.
arXiv 2023. [PDF]
Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation
Tsiry Mayet, Simon Bernard, Clement Chatelain, Romain Herault.
arXiv 2023. [PDF]
Cartoondiff: Training-free Cartoon Image Generation with Diffusion Transformer Models
Feihong He, Gang Li, Lingyu Si, Leilei Yan, Shimeng Hou, Hongwei Dong, Fanzhang Li.
arXiv 2023. [PDF]
[Project]
DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models
Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam, Kibeom Hong.
arXiv 2023. [PDF]
[Project] [Github]
PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud
Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang.
arXiv 2023. [PDF]
Create Your World: Lifelong Text-to-Image Diffusion
Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong.
arXiv 2023. [PDF]
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption
Teng Hu, Jiangning Zhang, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma.
ICCV 2023. [PDF]
StyleAdapter: A Single-Pass LoRA-Free Model for Stylized Image Generation
Zhouxia Wang, Xintao Wang, Liangbin Xie, Zhongang Qi, Ying Shan, Wenping Wang, Ping Luo.
arXiv 2023. [PDF]
Latent Painter
Shih-Chieh Su.
arXiv 2023. [PDF]
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer
Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu and Kathleen McKeown.
arXiv 2023. [PDF]
Zero-shot Inversion Process for Image Attribute Editing with Diffusion Models
Zhanbo Feng, Zenan Ling, Ci Gong, Feng Zhou, Jie Li, Robert C. Qiu.
arXiv 2023. [PDF]
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
Tao Yang, Peiran Ren, Xuansong Xie, Lei Zhang.
arXiv 2023.[PDF]
[Github]
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation
Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Radu Timotfe, Luc Van Gool.
arXiv 2023. [PDF]
Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation
Duo Peng, Ping Hu, Qiuhong Ke, Jun Liu.
ICCV 2023. [PDF]
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation
Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang.
arXiv 2023. [PDF]
MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance
Ernie Chu, Tzuhsuan Huang, Shuo-Yen Lin, Jun-Cheng Chen.
arXiv 2023. [PDF]
[Project]
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
Zhizhong Wang, Lei Zhao, Wei Xing.
arXiv 2023. [PDF]
Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training
Ximing Xing, Chuang Wang, Haitao Zhou, Zhihao Hu, Chongxuan Li, Dong Xu, Qian Yu.
arXiv 2023. [PDF]
Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow
Junhong Gou, Siyu Sun, Jianfu Zhang, Jianlou Si, Chen Qian, Liqing Zhang.
ACMMM 2023. [PDF]
[Github]
Head Rotation in Denoising Diffusion Models
Andrea Asperti, Gabriele Colasuonno, Antonio Guerra.
arXiv 2023. [PDF]
Photorealistic and Identity-Preserving Image-Based Emotion Manipulation with Latent Diffusion Models
Ioannis Pikoulis, Panagiotis P. Filntisis, Petros Maragos.
arXiv 2023. [PDF]
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
Shikun Sun, Longhui Wei, Junliang Xing, Jia Jia, Qi Tian.
ICML 2023. [PDF]
Interpolating between Images with Diffusion Models
Clinton J. Wang, Polina Golland.
ICML Workshop 2023. [PDF]
[Project] [Github]
TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition
Shilin Lu, Yanzhu Liu, Adams Wai-Kin Kong.
ICCV 2023. [PDF]
[Github]
DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation
Yipeng Leng, Qiangjuan Huang, Zhiyuan Wang, Yangyang Liu, Haoyu Zhang.
arXiv 2023. [PDF]
[Github]
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer
Dan Ruta, Gemma Canet Tarrés, Andrew Gilbert, Eli Shechtman, Nicholas Kolkin, John Collomosse.
arXiv 2023. [PDF]
Applying a Color Palette with Local Control using Diffusion Models
Vaibhav Vavilala, David Forsyth.
arXiv 2023. [PDF]
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, Jian Zhang.
arXiv 2023. [PDF]
[Project] [Github1] [Github2]
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Yujun Shi, Chuhui Xue, Jiachun Pan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai.
arXiv 2023. [PDF]
[Github1] [Github2]
ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion Models
Dar-Yen Chen.
arXiv 2023. [PDF]
[Github]
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov.
ICML 2023. [PDF]
[Github]
TryOnDiffusion: A Tale of Two UNets
Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman.
CVPR 2023. [PDF]
Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance
Gihyun Kwon, Jong Chul Ye.
arXiv 2023. [PDF]
Interpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge
Wenhao Guan, Tao Li, Yishuang Li, Hukai Huang, Qingyang Hong, Lin Li.
arXiv 2023. [PDF]
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel.
ICML 2023.[PDF]
Fine-grained Text Style Transfer with Diffusion-Based Language Models
Yiwei Lyu, Tiange Luo, Jiacheng Shi, Todd C. Hollon, Honglak Lee.
arXiv 2023. [PDF]
DiffSketching: Sketch Control Image Synthesis with Diffusion Models
Qiang Wang, Di Kong, Fengyin Lin, Yonggang Qi.
arXiv 2023. [PDF]
[Github]
Real-World Image Variation by Aligning Diffusion Inversion Chain
Yuechen Zhang, Jinbo Xing, Eric Lo, Jiaya Jia
arXiv 2023. [PDF]
[Project] [Github]
Photoswap: Personalized Subject Swapping in Images
Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, HyunJoon Jung, Xin Eric Wang.
arXiv 2023. [PDF]
[Project] [Github]
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell.
arXiv 2023. [PDF]
[Github]
ProSpect: Expanded Conditioning for the Personalization of Attribute-aware Image Generation
Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Oliver Deussen, Changsheng Xu.
arXiv 2023. [[PDF]https://arxiv.org/abs/2305.16225)]
[Github]
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye.
arXiv 2023. [PDF]
[Github]
SAR-to-Optical Image Translation via Thermodynamics-inspired Network
Mingjin Zhang, Jiamin Xu, Chengyu He, Wenteng Shang, Yunsong Li, Xinbo Gao.
arXiv 2023. [PDF]
Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Wenjing Yang.
arXiv 2023. [PDF]
[Project] [Github]
ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation
Yupei Lin, Sen Zhang, Xiaojun Yang, Xiao Wang, Yukai Shi.
arXiv 2023. [PDF]
[Project]
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
Zeyu Lu, Chengyue Wu, Xinyuan Chen, Yaohui Wang, Yu Qiao, Xihui Liu.
arXiv 2023. [PDF]
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing
Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang.
CVPR 2023. [PDF]
[Project] [Github]
Face Animation with an Attribute-Guided Diffusion Model
Bohan Zeng, Xuhui Liu, Sicheng Gao, Boyu Liu, Hong Li, Jianzhuang Liu, Baochang Zhang.
arXiv 2023. [PDF]
General Image-to-Image Translation with One-Shot Image Guidance
Bin Cheng, Zuhao Liu, Yunbo Peng, Yue Lin.
ICCV 2023. [PDF]
Reference-based Image Composition with Sketch via Structure-aware Diffusion Model
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Jaegul Choo.
arXiv 2023. [PDF]
PAIR-Diffusion: A Comprehensive Multimodal Object-Level Image Editor
Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Xingqian Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi.
arXiv 2023. [PDF]
[Github]
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang.
arXiv 2023. [PDF]
[Github]
Training-free Style Transfer Emerges from h-space in Diffusion models
Jaeseok Jeong, Mingi Kwon, Youngjung Uh.
arXiv 2023. [PDF]
[Project] [Github]
Diffusion-based Target Sampler for Unsupervised Domain Adaptation
Yulong Zhang, Shuhao Chen, Yu Zhang, Jiangang Lu.
arXiv 2023. [PDF]
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer
Serin Yang, Hyunmin Hwang, Jong Chul Ye.
arXiv 2023. [PDF]
[Github]
StyO: Stylize Your Face in Only One-Shot
Bonan Li, Zicheng Zhang, Xuecheng Nie, Congying Han, Yinhan Hu, Tiande Guo.
arXiv 2023. [PDF]
[Github]
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models
Shidong Cao, Wenhao Chai, Shengyu Hao, Yanting Zhang, Hangyue Chen, Gaoang Wang.
arXiv 2023. [PDF]
[Github]
I2SB: Image-to-Image Schrödinger Bridge
Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar.
arXiv 2023. [PDF]
[Project] [Github]
Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion
Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu.
arXiv 2023. [PDF]
InstructPix2Pix: Learning to Follow Image Editing Instructions
Tim Brooks, Aleksander Holynski, Alexei A. Efros.
CVPR 2023. [PDF] [GitHub]
EDICT: Exact Diffusion Inversion via Coupled Transformations
Bram Wallace, Akash Gokul, Nikhil Naik.
CVPR 2023. [PDF]
DiffFace: Diffusion-based Face Swapping with Facial Guidance
Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, KwangHee Lee.
arXiv 2022. [PDF]
[Project] [Github]
HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping
Qinghe Wang, Lijie Liu, Miao Hua, Qian He, Pengfei Zhu, Bing Cao, Qinghua Hu.
arXiv 2022. [PDF]
[Github]
High-Fidelity Guided Image Synthesis with Latent Diffusion Models
Jaskirat Singh, Stephen Gould, Liang Zheng.
CVPR 2023. [PDF]
[Github]
Inversion-Based Creativity Transfer with Diffusion Models
Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu.
CVPR 2023. [PDF]
[Github]
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
Narek Tumanyan, Michal Geyer, Shai Bagon, Tali Dekel.
CVPR 2023. [PDF]
[Github]
Person Image Synthesis via Denoising Diffusion Model
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan.
CVPR 2023. [PDF]
[Github]
Diffstyler: Controllable dual diffusion for text-driven image stylization
Nisha Huang, Yuxin Zhang, Fan Tang, Chongyang Ma, Haibin Huang, Yong Zhang Weiming Dong, Changsheng Xu.
arXiv 2022. [PDF]
[Github]
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models
Yueqin Yin, Lianghua Huang, Yu Liu, Kaiqi Huang.
arXiv 2022. [PDF]
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance
Chen Henry Wu, Fernando De la Torre.
arXiv 2022. [PDF]
[Github-1] [Github-2]
Anatomically constrained CT image translation for heterogeneous blood vessel segmentation
Giammarco La Barbera, Haithem Boussaid, Francesco Maso, Sabine Sarnacki, Laurence Rouet, Pietro Gori, Isabelle Bloch.
BMVC 2022. [PDF]
Diffusion-based Image Translation using Disentangled Style and Content Representation
Gihyun Kwon, Jong Chul Ye.
ICLR 2023. [PDF]
[Project] [Github]
Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion
Nisha Huang, Fan Tang, Weiming Dong, Changsheng Xu.
arXiv 2022. [PDF]
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation
Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim.
arXiv 2022. [PDF]
[Project] [Github]
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
Ozan Özdenizci, Robert Legenstein.
TPAMI 2023. [PDF]
[Github]
Non-Uniform Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann.
arXiv 2022. [PDF]
Unsupervised Medical Image Translation with Adversarial Diffusion Models
Muzaffer Özbey, Salman UH Dar, Hasan A Bedel, Onat Dalmaz, Şaban Özturk, Alper Güngör, Tolga Çukur.
arXiv 2022. [PDF]
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu.
NIPS 2022. [PDF]
[[Github](https://github.com/ML-GSAI/EGSDE]
Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan.
arXiv 2022. [PDF]
[Github]
Pretraining is All You Need for Image-to-Image Translation
Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen.
arXiv 2022. [PDF]
[Project] [Github]
BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models
Bo Li, Kaitao Xue, Bin Liu, Yu-Kun Lai.
CVPR 2023. [PDF]
[Github]
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe C. Cattin.
arXiv 2022. [PDF]
Dual Diffusion Implicit Bridges for Image-to-Image Translation
Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon.
ICLR 2023. [PDF]
[Github]
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song.
NeurIPS 2022. [PDF]
[Github]
DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models
Boah Kim, Inhwa Han, Jong Chul Ye.
arXiv 2021. [PDF]
[Github]
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn
arXiv 2021. [PDF]
[Project] [Github]
Conditional Image Generation with Score-Based Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann.
arXiv 2021. [PDF]
Palette: Image-to-Image Diffusion Models
Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi.
SIGRAPH 2021. [PDF]
[Github]
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
Gwanghyun Kim, Taesung Kwon, Jong Chul Ye.
CVPR 2022. [PDF]
[Github]
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon.
ICCV 2021 (Oral). [PDF]
[Github]
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models
Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon.
arXiv 2021. [PDF]
[Github]
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