图像生成 - arXivDaily 专题

2406.03961 2024-10-08 eess.IV cs.CV 79%

Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression

Junhui Li, Jutao Li, Xingsong Hou, Huake Wang

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

2410.04221 2024-10-08 cs.CV 79%

TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio Motion Embedding and Diffusion Interpolation

Haiyang Liu, Xingchao Yang, Tomoya Akiyama, Yuantian Huang, Qiaoge Li, Shigeru Kuriyama, Takafumi Taketomi

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments 16 pages, 8 figures

2410.03937 2024-10-08 cs.LG cs.CV eess.IV stat.ML 79%

Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion

Tianyi Wei, Shu Yang, Davoud Ataee Tarzanagh, Jingxuan Bao, Jia Xu, Patryk Orzechowski, Joost B. Wagenaar, Qi Long, Li Shen

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments ICIBM'23': International Conference on Intelligent Biology and Medicine, Tampa, FL, USA, July 16-19, 2023

2409.18256 2024-10-08 cs.CV 79%

Amodal Instance Segmentation with Diffusion Shape Prior Estimation

Minh Tran, Khoa Vo, Tri Nguyen, Ngan Le

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments ACCV2024; Project page: https://uark-aicv.github.io/AISDiff

2410.03441 2024-10-07 cs.CV 79%

CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control

Guy Tevet, Sigal Raab, Setareh Cohan, Daniele Reda, Zhengyi Luo, Xue Bin Peng, Amit H. Bermano, Michiel van de Panne

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

2410.03080 2024-10-07 cs.CV 79%

Generative Edge Detection with Stable Diffusion

Caixia Zhou, Yaping Huang, Mochu Xiang, Jiahui Ren, Haibin Ling, Jing Zhang

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

2409.04005 2024-10-07 cs.CV 79%

Qihoo-T2X: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Any-Task

Jing Wang, Ao Ma, Jiasong Feng, Dawei Leng, Yuhui Yin, Xiaodan Liang

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

2403.05327 2024-10-07 cs.CV 79%

DiffSF: Diffusion Models for Scene Flow Estimation

Yushan Zhang, Bastian Wandt, Maria Magnusson, Michael Felsberg

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

2410.02808 2024-10-07 eess.IV cs.AI cs.CV 79%

KLDD: Kalman Filter based Linear Deformable Diffusion Model in Retinal Image Segmentation

Zhihao Zhao, Yinzheng Zhao, Junjie Yang, Kai Huang, Nassir Navab, M. Ali Nasseri

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments Accepted at BIBM 2024

2410.00731 2024-10-04 cs.CV cs.LG 79%

Improved Generation of Synthetic Imaging Data Using Feature-Aligned Diffusion

Lakshmi Nair

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments Accepted to First International Workshop on Vision-Language Models for Biomedical Applications (VLM4Bio 2024) at the 32nd ACM-Multimedia conference

2409.11682 2024-10-04 cs.CV 79%

SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation

Mingze Sun, Chen Guo, Puhua Jiang, Shiwei Mao, Yurun Chen, Ruqi Huang

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments Accepted as a conference paper of SIGGRAPH Asia 2024

2410.01718 2024-10-03 cs.CV 79%

COMUNI: Decomposing Common and Unique Video Signals for Diffusion-based Video Generation

Mingzhen Sun, Weining Wang, Xinxin Zhu, Jing Liu

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

2410.01594 2024-10-03 cs.CV 79%

MM-LDM: Multi-Modal Latent Diffusion Model for Sounding Video Generation

Mingzhen Sun, Weining Wang, Yanyuan Qiao, Jiahui Sun, Zihan Qin, Longteng Guo, Xinxin Zhu, Jing Liu

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments Accepted by ACM MM 2024

2409.19952 2024-10-03 cs.CV 79%

Image Copy Detection for Diffusion Models

Wenhao Wang, Yifan Sun, Zhentao Tan, Yi Yang

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments Accepted by NeurIPS 2024

2410.00184 2024-10-02 eess.IV cs.CV cs.LG 79%

Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising

Siyeop Yoon, Rui Hu, Yuang Wang, Matthew Tivnan, Young-don Son, Dufan Wu, Xiang Li, Kyungsang Kim, Quanzheng Li

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments Accepted to MICCAI 2024

2410.00083 2024-10-02 cs.LG cs.AI cs.CV 79%

A Survey on Diffusion Models for Inverse Problems

Giannis Daras, Hyungjin Chung, Chieh-Hsin Lai, Yuki Mitsufuji, Jong Chul Ye, Peyman Milanfar, Alexandros G. Dimakis, Mauricio Delbracio

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments Work in progress. 38 pages

2409.13532 2024-10-02 eess.IV cs.CV 79%

Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis

Sven Lüpke, Yousef Yeganeh, Ehsan Adeli, Nassir Navab, Azade Farshad

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments 5th International Workshop on Multiscale Multimodal Medical Imaging (MICCAI 2024), Project page: https://sven-luepke.github.io/phy-ldm-mri/

2408.01571 2024-10-02 cs.CV cs.LG 79%

Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder

Matan Atad, David Schinz, Hendrik Moeller, Robert Graf, Benedikt Wiestler, Daniel Rueckert, Nassir Navab, Jan S. Kirschke, Matthias Keicher

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal.org/2024:024. arXiv admin note: text overlap with arXiv:2303.12031

Journal ref Machine.Learning.for.Biomedical.Imaging. 2 (2024)

2308.02062 2024-10-02 eess.IV cs.CV 79%

Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images

Alessandro Fontanella, Grant Mair, Joanna Wardlaw, Emanuele Trucco, Amos Storkey

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments 13 pages, 7 figures. Accepted to IEEE Transactions on Medical Imaging on 6th September 2024

2409.19686 2024-10-01 cs.CV 79%

Text-driven Human Motion Generation with Motion Masked Diffusion Model

Xingyu Chen

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

2409.19623 2024-10-01 eess.IV cs.AI cs.CV 79%

MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI

Vivek Kumar Trivedi, Bheeshm Sharma, P. Balamurugan

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments Accepted in CISP-BMEI 2024

2409.19592 2024-10-01 cs.CV cs.LG cs.MA 79%

DiffCP: Ultra-Low Bit Collaborative Perception via Diffusion Model

Ruiqing Mao, Haotian Wu, Yukuan Jia, Zhaojun Nan, Yuxuan Sun, Sheng Zhou, Deniz Gündüz, Zhisheng Niu

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments 7 pages, 4 figures

2409.19371 2024-10-01 eess.IV cs.CV 79%

Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms

David Stojanovski, Mariana da Silva, Pablo Lamata, Arian Beqiri, Alberto Gomez

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

2401.11078 2024-10-01 cs.CV 79%

UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures

Mingyuan Zhou, Rakib Hyder, Ziwei Xuan, Guojun Qi

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments The project page is at https://mingjoe.github.io/UltrAvatar/

2409.18967 2024-10-01 q-bio.NC cs.CV 79%

Brain Network Diffusion-Driven fMRI Connectivity Augmentation for Enhanced Autism Spectrum Disorder Diagnosis

Haokai Zhao, Haowei Lou, Lina Yao, Yu Zhang

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments 14 pages, 16 figures, submitted to Journal of Neural Engineering

2409.18899 2024-09-30 cs.CV eess.IV 79%

Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors

Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Yue Huang, Xiaotong Tu, Xinghao Ding

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments 13 pages, 10 figures

2409.18636 2024-09-30 cs.CV 79%

Unsupervised Fingerphoto Presentation Attack Detection With Diffusion Models

Hailin Li, Raghavendra Ramachandra, Mohamed Ragab, Soumik Mondal, Yong Kiam Tan, Khin Mi Mi Aung

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments Accepted by IJCB 2024

2409.18476 2024-09-30 cs.CV 79%

Underwater Image Enhancement with Physical-based Denoising Diffusion Implicit Models

Nguyen Gia Bach, Chanh Minh Tran, Eiji Kamioka, Phan Xuan Tan

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

2409.18442 2024-09-30 cs.LG cs.CV 79%

Gradient-free Decoder Inversion in Latent Diffusion Models

Seongmin Hong, Suh Yoon Jeon, Kyeonghyun Lee, Ernest K. Ryu, Se Young Chun

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

Comments 19 pages, Accepted to NeurIPS 2024

2409.14149 2024-09-30 cs.CV 79%

JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation

Hadrien Reynaud, Matthew Baugh, Mischa Dombrowski, Sarah Cechnicka, Qingjie Meng, Bernhard Kainz

专题命中扩散模型：diffusion(title,abstract)；分类 cs.CV

1. 扩散模型 70277 篇

Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression

TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio Motion Embedding and Diffusion Interpolation

Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion

Amodal Instance Segmentation with Diffusion Shape Prior Estimation

CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control

Generative Edge Detection with Stable Diffusion

Qihoo-T2X: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Any-Task

DiffSF: Diffusion Models for Scene Flow Estimation

KLDD: Kalman Filter based Linear Deformable Diffusion Model in Retinal Image Segmentation

Improved Generation of Synthetic Imaging Data Using Feature-Aligned Diffusion

SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation

COMUNI: Decomposing Common and Unique Video Signals for Diffusion-based Video Generation

MM-LDM: Multi-Modal Latent Diffusion Model for Sounding Video Generation

Image Copy Detection for Diffusion Models

Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising

A Survey on Diffusion Models for Inverse Problems

Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis

Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder

Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images

Text-driven Human Motion Generation with Motion Masked Diffusion Model

MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI

DiffCP: Ultra-Low Bit Collaborative Perception via Diffusion Model

Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms

UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures

Brain Network Diffusion-Driven fMRI Connectivity Augmentation for Enhanced Autism Spectrum Disorder Diagnosis

Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors

Unsupervised Fingerphoto Presentation Attack Detection With Diffusion Models

Underwater Image Enhancement with Physical-based Denoising Diffusion Implicit Models

Gradient-free Decoder Inversion in Latent Diffusion Models

JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation