图像生成 - arXivDaily 专题

2211.12131 2023-03-21 cs.CV 83%

DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models

Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein

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

2212.11565 2023-03-20 cs.CV 83%

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Weixian Lei, Yuchao Gu, Yufei Shi, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou

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

Comments Preprint

2303.05762 2023-03-13 cs.LG cs.CR cs.CV 83%

TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets

Weixin Chen, Dawn Song, Bo Li

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

Comments CVPR2023

2303.00354 2023-03-02 cs.CV 83%

Unlimited-Size Diffusion Restoration

Yinhuai Wang, Jiwen Yu, Runyi Yu, Jian Zhang

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

2208.04202 2023-03-02 cs.CV cs.AI cs.CL cs.LG 83%

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Ting Chen, Ruixiang Zhang, Geoffrey Hinton

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

Comments ICLR'23

2302.14816 2023-03-01 cs.CV 83%

Monocular Depth Estimation using Diffusion Models

Saurabh Saxena, Abhishek Kar, Mohammad Norouzi, David J. Fleet

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

2302.14503 2023-03-01 cs.CV cs.AI 83%

Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?

Hyemin Ahn, Esteve Valls Mascaro, Dongheui Lee

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

Comments 7 pages, 3 figures, ICRA 2023

2302.13861 2023-02-28 cs.LG cs.CR cs.CV stat.ML 83%

Differentially Private Diffusion Models Generate Useful Synthetic Images

Sahra Ghalebikesabi, Leonard Berrada, Sven Gowal, Ira Ktena, Robert Stanforth, Jamie Hayes, Soham De, Samuel L. Smith, Olivia Wiles, Borja Balle

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

2302.12831 2023-02-28 eess.IV cs.CV 83%

CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution

Axi Niu, Kang Zhang, Trung X. Pham, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang

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

Comments 4 pages, 4 figures

2302.12469 2023-02-27 cs.CV 83%

Unsupervised Discovery of Semantic Latent Directions in Diffusion Models

Yong-Hyun Park, Mingi Kwon, Junghyo Jo, Youngjung Uh

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

2302.10781 2023-02-22 cs.CV 83%

Learning 3D Photography Videos via Self-supervised Diffusion on Single Images

Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan

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

Comments 10 pages, 7 figures

2302.09301 2023-02-21 cs.CL cs.CV cs.LG 83%

Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension

Henry Kvinge, Davis Brown, Charles Godfrey

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

Comments 11 pages

2302.01329 2023-02-03 cs.CV 83%

Dreamix: Video Diffusion Models are General Video Editors

Eyal Molad, Eliahu Horwitz, Dani Valevski, Alex Rav Acha, Yossi Matias, Yael Pritch, Yaniv Leviathan, Yedid Hoshen

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

2301.12661 2023-01-31 cs.SD cs.LG cs.MM eess.AS 83%

Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models

Rongjie Huang, Jiawei Huang, Dongchao Yang, Yi Ren, Luping Liu, Mingze Li, Zhenhui Ye, Jinglin Liu, Xiang Yin, Zhou Zhao

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

Comments Audio samples are available at https://Text-to-Audio.github.io

2211.00611 2023-01-18 cs.CV 83%

MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model

Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yehui Yang, Haoyi Xiong, Huiying Liu, Yanwu Xu

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

Comments Code is released at: https://github.com/WuJunde/MedSegDiff

2301.01206 2023-01-04 cs.CV cs.LG 83%

Speed up the inference of diffusion models via shortcut MCMC sampling

Gang Chen

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

Comments 9

2212.14678 2023-01-02 cs.CV 83%

Exploring Transformer Backbones for Image Diffusion Models

Princy Chahal

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

2212.13771 2022-12-29 cs.CV 83%

Exploring Vision Transformers as Diffusion Learners

He Cao, Jianan Wang, Tianhe Ren, Xianbiao Qi, Yihao Chen, Yuan Yao, Lei Zhang

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

2212.02773 2022-12-29 cs.CV 83%

DiffusionInst: Diffusion Model for Instance Segmentation

Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, Weiqiang Wang

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

2212.11274 2022-12-23 eess.IV cs.CV 83%

SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging

Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu

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

Comments submitted to ISMRM

2211.12446 2022-12-23 cs.CV cs.AI cs.LG 83%

EDICT: Exact Diffusion Inversion via Coupled Transformations

Bram Wallace, Akash Gokul, Nikhil Naik

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

Comments 24 pages, 22 figures. Code now available

2212.00842 2022-12-16 cs.CV 83%

3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models

Gimin Nam, Mariem Khlifi, Andrew Rodriguez, Alberto Tono, Linqi Zhou, Paul Guerrero

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

2212.04711 2022-12-14 cs.CV 83%

ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal

Lanqing Guo, Chong Wang, Wenhan Yang, Siyu Huang, Yufei Wang, Hanspeter Pfister, Bihan Wen

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

2212.04473 2022-12-12 cs.CV 83%

Diffusion Guided Domain Adaptation of Image Generators

Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris Metaxas, Ahmed Elgammal

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

Comments Project website: https://styleganfusion.github.io/

2211.11694 2022-12-12 cs.CV 83%

Exploring Discrete Diffusion Models for Image Captioning

Zixin Zhu, Yixuan Wei, Jianfeng Wang, Zhe Gan, Zheng Zhang, Le Wang, Gang Hua, Lijuan Wang, Zicheng Liu, Han Hu

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

2203.09481 2022-12-09 cs.CV cs.LG stat.ML 83%

Diffusion Probabilistic Modeling for Video Generation

Ruihan Yang, Prakhar Srivastava, Stephan Mandt

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

2212.02936 2022-12-08 cs.CV 83%

M-VADER: A Model for Diffusion with Multimodal Context

Samuel Weinbach, Marco Bellagente, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Björn Deiseroth, Koen Oostermeijer, Hannah Teufel, Andres Felipe Cruz-Salinas

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

Comments 22 pages, 14 figures, 2 tables, fixed figure 3

2211.16032 2022-11-30 cs.LG cs.CV 83%

Dimensionality-Varying Diffusion Process

Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng

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

2211.14842 2022-11-29 cs.CV 83%

Unified Discrete Diffusion for Simultaneous Vision-Language Generation

Minghui Hu, Chuanxia Zheng, Heliang Zheng, Tat-Jen Cham, Chaoyue Wang, Zuopeng Yang, Dacheng Tao, Ponnuthurai N. Suganthan

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

2211.13352 2022-11-28 eess.IV cs.CV cs.LG 83%

Improving dermatology classifiers across populations using images generated by large diffusion models

Luke W. Sagers, James A. Diao, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Arjun K. Manrai

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

Comments NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research

1. 扩散模型 70196 篇

DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets

Unlimited-Size Diffusion Restoration

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Monocular Depth Estimation using Diffusion Models

Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?

Differentially Private Diffusion Models Generate Useful Synthetic Images

CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution

Unsupervised Discovery of Semantic Latent Directions in Diffusion Models

Learning 3D Photography Videos via Self-supervised Diffusion on Single Images

Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension

Dreamix: Video Diffusion Models are General Video Editors

Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models

MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model

Speed up the inference of diffusion models via shortcut MCMC sampling

Exploring Transformer Backbones for Image Diffusion Models

Exploring Vision Transformers as Diffusion Learners

DiffusionInst: Diffusion Model for Instance Segmentation

SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging

EDICT: Exact Diffusion Inversion via Coupled Transformations

3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models

ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal

Diffusion Guided Domain Adaptation of Image Generators

Exploring Discrete Diffusion Models for Image Captioning

Diffusion Probabilistic Modeling for Video Generation

M-VADER: A Model for Diffusion with Multimodal Context

Dimensionality-Varying Diffusion Process

Unified Discrete Diffusion for Simultaneous Vision-Language Generation

Improving dermatology classifiers across populations using images generated by large diffusion models