图像生成

DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation

Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu

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

Comments Project page https://sstzal.github.io/DiffTalk/

Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models

Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel

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

Comments Accepted at CVPR 2023

Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model

Yuming Du, Robin Kips, Albert Pumarola, Sebastian Starke, Ali Thabet, Artsiom Sanakoyeu

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

Comments CVPR 2023, project page: https://dulucas.github.io/agrol/

Synthetic Data from Diffusion Models Improves ImageNet Classification

Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet

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

Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields

Taofeng Xie, Chentao Cao, Zhuoxu Cui, Fanshi Li, Zidong Wei, Yanjie Zhu, Ye Li, Dong Liang, Qiyu Jin, Guoqing Chen, Haifeng Wang

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

Comments 5 pages, 4 figures

Memory Efficient Diffusion Probabilistic Models via Patch-based Generation

Shinei Arakawa, Hideki Tsunashima, Daichi Horita, Keitaro Tanaka, Shigeo Morishima

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

Comments Accepted to the Generative Models for Computer Vision workshop at CVPR 2023

Soundini: Sound-Guided Diffusion for Natural Video Editing

Seung Hyun Lee, Sieun Kim, Innfarn Yoo, Feng Yang, Donghyeon Cho, Youngseo Kim, Huiwen Chang, Jinkyu Kim, Sangpil Kim

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

$E(3) \times SO(3)$-Equivariant Networks for Spherical Deconvolution in Diffusion MRI

Axel Elaldi, Guido Gerig, Neel Dey

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

Comments Accepted to Medical Imaging with Deep Learning (MIDL) 2023. Code available at https://github.com/AxelElaldi/e3so3_conv . 19 pages with 6 figures

A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data

Chi-en Amy Tai, Hayden Gunraj, Alexander Wong

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

CamDiff: Camouflage Image Augmentation via Diffusion Model

Xue-Jing Luo, Shuo Wang, Zongwei Wu, Christos Sakaridis, Yun Cheng, Deng-Ping Fan, Luc Van Gool

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

A Closer Look at Parameter-Efficient Tuning in Diffusion Models

Chendong Xiang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu

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

Comments 8pages, now our code is available at: https://github.com/Xiang-cd/unet-finetune

Ambiguous Medical Image Segmentation using Diffusion Models

Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M Patel

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

ChiroDiff: Modelling chirographic data with Diffusion Models

Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

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

Comments Accepted at ICLR '23

Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior

Kaiwen Xu, Aravind R. Krishnan, Thomas Z. Li, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman

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

Comments Submitted to MIDL 2023, short paper track

Face Animation with an Attribute-Guided Diffusion Model

Bohan Zeng, Xuhui Liu, Sicheng Gao, Boyu Liu, Hong Li, Jianzhuang Liu, Baochang Zhang

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

Comments 8 pages, 6 figures

A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material

Mengchun Zhang, Maryam Qamar, Taegoo Kang, Yuna Jung, Chenshuang Zhang, Sung-Ho Bae, Chaoning Zhang

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

Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study

Jiahao Huang, Pedro F. Ferreira, Lichao Wang, Yinzhe Wu, Angelica I. Aviles-Rivero, Carola-Bibiane Schonlieb, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Ramyah Rajakulasingam, Ranil De Silva, Dudley J. Pennell, Sonia Nielles-Vallespin, Guang Yang

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

Comments 15 pages, 8 figures

ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model

Mingyuan Zhang, Xinying Guo, Liang Pan, Zhongang Cai, Fangzhou Hong, Huirong Li, Lei Yang, Ziwei Liu

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

Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

Junshu Tang, Tengfei Wang, Bo Zhang, Ting Zhang, Ran Yi, Lizhuang Ma, Dong Chen

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

Comments 17 pages, 18 figures, Project page: https://make-it-3d.github.io/

SUD$^2$: Supervision by Denoising Diffusion Models for Image Reconstruction

Matthew A. Chan, Sean I. Young, Christopher A. Metzler

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

Comments 18 pages, 15 figures

A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Chenshuang Zhang, Chaoning Zhang, Sheng Zheng, Mengchun Zhang, Maryam Qamar, Sung-Ho Bae, In So Kweon

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

Comments 18 pages

Unsupervised Medical Image Translation with Adversarial Diffusion Models

Muzaffer Özbey, Onat Dalmaz, Salman UH Dar, Hasan A Bedel, Şaban Özturk, Alper Güngör, Tolga Çukur

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

Comments M. Ozbey and O. Dalmaz contributed equally to this study

HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion

Ziya Erkoç, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai

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

Comments Project page: https://ziyaerkoc.com/hyperdiffusion/ Video: https://www.youtube.com/watch?v=wjFpsKdo-II

Video Probabilistic Diffusion Models in Projected Latent Space

Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin

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

Comments CVPR 2023. Project page: https://sihyun.me/PVDM

Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels

Jan Oscar Cross-Zamirski, Praveen Anand, Guy Williams, Elizabeth Mouchet, Yinhai Wang, Carola-Bibiane Schönlieb

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

A Residual Diffusion Model for High Perceptual Quality Codec Augmentation

Noor Fathima Ghouse, Jens Petersen, Auke Wiggers, Tianlin Xu, Guillaume Sautière

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

Comments v1: 26 pages, 13 figures v2: corrected typo in first author name in arxiv metadata v3: major paper update to add base codecs and lpips loss

Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding

Zijiao Chen, Jiaxin Qing, Tiange Xiang, Wan Lin Yue, Juan Helen Zhou

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

Comments 8 pages, 9 figures, 2 tables, accepted by CVPR2023, see https://mind-vis.github.io/ for more information

Diffusion Models already have a Semantic Latent Space

Mingi Kwon, Jaeseok Jeong, Youngjung Uh

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

Comments ICLR2023 (Notable - Top 25%)

MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation

Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim

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

Comments Project page https://ku-cvlab.github.io/MIDMs/

Distribution Aligned Diffusion and Prototype-guided network for Unsupervised Domain Adaptive Segmentation

Haipeng Zhou, Lei Zhu, Yuyin Zhou

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