图像生成 - arXivDaily 专题

2403.10731 2024-05-01 cs.CV cs.LG 88%

Giving a Hand to Diffusion Models: a Two-Stage Approach to Improving Conditional Human Image Generation

Anton Pelykh, Ozge Mercanoglu Sincan, Richard Bowden

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

2404.11613 2024-04-18 cs.CV 88%

InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior

Zhiheng Liu, Hao Ouyang, Qiuyu Wang, Ka Leong Cheng, Jie Xiao, Kai Zhu, Nan Xue, Yu Liu, Yujun Shen, Yang Cao

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

Comments Project page: https://johanan528.github.io/Infusion

2404.10765 2024-04-17 cs.CV 88%

RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting

Ashkan Mirzaei, Riccardo De Lutio, Seung Wook Kim, David Acuna, Jonathan Kelly, Sanja Fidler, Igor Gilitschenski, Zan Gojcic

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

Comments Project page: https://reffusion.github.io

2404.07949 2024-04-12 cs.CV 88%

Taming Stable Diffusion for Text to 360° Panorama Image Generation

Cheng Zhang, Qianyi Wu, Camilo Cruz Gambardella, Xiaoshui Huang, Dinh Phung, Wanli Ouyang, Jianfei Cai

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

Comments CVPR 2024. Project Page: https://chengzhag.github.io/publication/panfusion Code: https://github.com/chengzhag/PanFusion

2404.03109 2024-04-05 cs.CV 88%

Many-to-many Image Generation with Auto-regressive Diffusion Models

Ying Shen, Yizhe Zhang, Shuangfei Zhai, Lifu Huang, Joshua M. Susskind, Jiatao Gu

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

2403.19898 2024-04-02 cs.CV 88%

Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting

Haipeng Liu, Yang Wang, Biao Qian, Meng Wang, Yong Rui

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

Comments 15 pages, 10 figures, to appear CVPR 2024

2312.03816 2024-04-02 cs.CV 88%

AVID: Any-Length Video Inpainting with Diffusion Model

Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris Metaxas, Licheng Yu

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

Comments Project website: https://zhang-zx.github.io/AVID/

2312.07330 2024-03-29 cs.CV 88%

Learned representation-guided diffusion models for large-image generation

Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel Saltz, Dimitris Samaras

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

2311.09822 2024-03-27 eess.IV cs.CV 88%

MAM-E: Mammographic synthetic image generation with diffusion models

Ricardo Montoya-del-Angel, Karla Sam-Millan, Joan C Vilanova, Robert Martí

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

Comments 10 pages + 2 pages of references, 6 figures

2403.14828 2024-03-26 cs.CV 88%

Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing

Alberto Baldrati, Davide Morelli, Marcella Cornia, Marco Bertini, Rita Cucchiara

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

2403.14499 2024-03-22 eess.IV cs.CV 88%

Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting

Alicia Durrer, Julia Wolleb, Florentin Bieder, Paul Friedrich, Lester Melie-Garcia, Mario Ocampo-Pineda, Cosmin I. Bercea, Ibrahim E. Hamamci, Benedikt Wiestler, Marie Piraud, Özgür Yaldizli, Cristina Granziera, Bjoern H. Menze, Philippe C. Cattin, Florian Kofler

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

2311.16117 2024-03-20 cs.CV 88%

Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models

Kota Sueyoshi, Takashi Matsubara

专题命中扩散模型：diffusion(title,abstract)；text-to-image(title)；image generation(abstract)；分类 cs.CV

Comments 20 pages, 16 figures, 6 tables, ~500 images, ~30MB

Journal ref The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024

2403.10255 2024-03-18 cs.CV 88%

Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder

Jinseok Kim, Tae-Kyun Kim

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

Comments Accepted by CVPR 2024

2403.06976 2024-03-12 cs.CV 88%

BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion

Xuan Ju, Xian Liu, Xintao Wang, Yuxuan Bian, Ying Shan, Qiang Xu

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

2402.16421 2024-02-27 cs.CV 88%

Outline-Guided Object Inpainting with Diffusion Models

Markus Pobitzer, Filip Janicki, Mattia Rigotti, Cristiano Malossi

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

2401.13795 2024-01-26 cs.CV 88%

Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All

Mehmet Saygin Seyfioglu, Karim Bouyarmane, Suren Kumar, Amir Tavanaei, Ismail B. Tutar

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

2311.01811 2024-01-15 cs.CV cs.AI 88%

DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder

Tao Liu, Chenpeng Du, Shuai Fan, Feilong Chen, Kai Yu

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

Comments 5 pages, Accepted to ICASSP 2024

2401.00208 2024-01-02 cs.CV 88%

Inpaint4DNeRF: Promptable Spatio-Temporal NeRF Inpainting with Generative Diffusion Models

Han Jiang, Haosen Sun, Ruoxuan Li, Chi-Keung Tang, Yu-Wing Tai

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

2304.08870 2023-12-19 cs.CV cs.AI 88%

UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer

Soon Yau Cheong, Armin Mustafa, Andrew Gilbert

专题命中扩散模型：diffusion(title,abstract)；image generation(title)；text-to-image(abstract)；分类 cs.CV

Journal ref Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2023

2309.15726 2023-12-12 cs.CV cs.LG 88%

Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation

Xin Yuan, Michael Maire

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

2312.03869 2023-12-08 cs.CV 88%

Inpaint3D: 3D Scene Content Generation using 2D Inpainting Diffusion

Kira Prabhu, Jane Wu, Lynn Tsai, Peter Hedman, Dan B Goldman, Ben Poole, Michael Broxton

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

2311.16821 2023-11-29 eess.IV cs.CV 88%

Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain

Jan-Oliver Kropp, Christian Schiffer, Katrin Amunts, Timo Dickscheid

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

Comments Submitted to ISBI-2024

2311.13141 2023-11-23 cs.CV 88%

Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models

Mengyang Feng, Jinlin Liu, Miaomiao Cui, Xuansong Xie

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

Comments 2 pages, 8 figures, Tech. Report

2311.11469 2023-11-21 cs.CV 88%

DiffGANPaint: Fast Inpainting Using Denoising Diffusion GANs

Moein Heidari, Alireza Morsali, Tohid Abedini, Samin Heydarian

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

2304.02192 2023-11-15 cs.CV cs.AI cs.LG 88%

A Diffusion-based Method for Multi-turn Compositional Image Generation

Chao Wang

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

Comments WACV 2024 3rd Workshop on Image/Video/Audio Quality in Computer Vision and Generative AI

2306.00980 2023-10-17 cs.CV cs.AI cs.LG 88%

SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds

Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren

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

Comments Our project webpage: https://snap-research.github.io/SnapFusion/

2309.08251 2023-09-18 cs.CV 88%

Cartoondiff: Training-free Cartoon Image Generation with Diffusion Transformer Models

Feihong He, Gang Li, Lingyu Si, Leilei Yan, Shimeng Hou, Hongwei Dong, Fanzhang Li

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

Comments 5 pages,5 figures

2309.03350 2023-09-08 cs.CV cs.LG 88%

Relay Diffusion: Unifying diffusion process across resolutions for image synthesis

Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang

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

2309.00199 2023-09-04 cs.CV cs.AI cs.LG 88%

Diffusion Model with Clustering-based Conditioning for Food Image Generation

Yue Han, Jiangpeng He, Mridul Gupta, Edward J. Delp, Fengqing Zhu

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

Comments Accepted for 31st ACM International Conference on Multimedia: 8th International Workshop on Multimedia Assisted Dietary Management (MADiMa 2023)

2308.13142 2023-08-28 cs.CV cs.AI 88%

A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions

Tianyi Zhang, Zheng Wang, Jing Huang, Mohiuddin Muhammad Tasnim, Wei Shi

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

1. 扩散模型 69868 篇

Giving a Hand to Diffusion Models: a Two-Stage Approach to Improving Conditional Human Image Generation

InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior

RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting

Taming Stable Diffusion for Text to 360° Panorama Image Generation

Many-to-many Image Generation with Auto-regressive Diffusion Models

Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting

AVID: Any-Length Video Inpainting with Diffusion Model

Learned representation-guided diffusion models for large-image generation

MAM-E: Mammographic synthetic image generation with diffusion models

Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing

Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting

Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models

Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder

BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion

Outline-Guided Object Inpainting with Diffusion Models

Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All

DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder

Inpaint4DNeRF: Promptable Spatio-Temporal NeRF Inpainting with Generative Diffusion Models

UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer

Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation

Inpaint3D: 3D Scene Content Generation using 2D Inpainting Diffusion

Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain

Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models

DiffGANPaint: Fast Inpainting Using Denoising Diffusion GANs

A Diffusion-based Method for Multi-turn Compositional Image Generation

SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds

Cartoondiff: Training-free Cartoon Image Generation with Diffusion Transformer Models

Relay Diffusion: Unifying diffusion process across resolutions for image synthesis

Diffusion Model with Clustering-based Conditioning for Food Image Generation

A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions