图像生成 - arXivDaily 专题

2211.12445 2022-11-23 cs.CV 83%

SinDiffusion: Learning a Diffusion Model from a Single Natural Image

Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li

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

2211.09794 2022-11-18 cs.CV 83%

Null-text Inversion for Editing Real Images using Guided Diffusion Models

Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, Daniel Cohen-Or

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

2210.04610 2022-11-11 cs.AI cs.CR cs.CV cs.CY cs.LG 83%

Red-Teaming the Stable Diffusion Safety Filter

Javier Rando, Daniel Paleka, David Lindner, Lennart Heim, Florian Tramèr

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

Comments ML Safety Workshop NeurIPS 2022

2211.01777 2022-11-07 cs.CV cs.LG 83%

Evaluating a Synthetic Image Dataset Generated with Stable Diffusion

Andreas Stöckl

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

2211.00902 2022-11-03 eess.IV cs.AI cs.CV cs.LG 83%

Spot the fake lungs: Generating Synthetic Medical Images using Neural Diffusion Models

Hazrat Ali, Shafaq Murad, Zubair Shah

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

Comments 8 pages. Submitted to AICS 2022 conference

2210.17408 2022-11-01 eess.IV cs.CV cs.LG 83%

Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation

Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang, Ting Ma

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

2210.08573 2022-10-18 cs.CV 83%

DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models

Yueqin Yin, Lianghua Huang, Yu Liu, Kaiqi Huang

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

2210.05147 2022-10-12 cs.LG cs.CL cs.CV 83%

Markup-to-Image Diffusion Models with Scheduled Sampling

Yuntian Deng, Noriyuki Kojima, Alexander M. Rush

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

2210.04955 2022-10-12 cs.CV cs.LG 83%

f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation

Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Angel Bautista, Josh Susskind

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

Comments 28 pages, 21 figures, work in progress

2112.13339 2022-10-12 stat.ML cs.CV cs.LG cs.SD eess.AS 83%

Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives

Hideyuki Tachibana, Mocho Go, Muneyoshi Inahara, Yotaro Katayama, Yotaro Watanabe

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

Comments Major update from 2112.13339v1. 47 pages, 24 figures

2210.04559 2022-10-11 cs.CV cs.LG 83%

CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning

Shitong Xu

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

2010.02502 2022-10-07 cs.LG cs.CV 83%

Denoising Diffusion Implicit Models

Jiaming Song, Chenlin Meng, Stefano Ermon

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

Comments ICLR 2021; updated connections with ODEs at page 6, fixed some typos in the proof

2210.02347 2022-10-06 cs.CV 83%

clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIP

Justin N. M. Pinkney, Chuan Li

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

Comments Accepted to BMVC 2022

2210.02303 2022-10-06 cs.CV cs.LG 83%

Imagen Video: High Definition Video Generation with Diffusion Models

Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans

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

Comments See accompanying website: https://imagen.research.google/video/

2209.12104 2022-10-03 eess.IV cs.CV physics.med-ph 83%

Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models

Qing Lyu, Ge Wang

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

2208.01864 2022-10-03 cs.CV cs.LG stat.ML 83%

Pyramidal Denoising Diffusion Probabilistic Models

Dohoon Ryu, Jong Chul Ye

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

2209.14593 2022-09-30 cs.LG cs.CV 83%

Denoising MCMC for Accelerating Diffusion-Based Generative Models

Beomsu Kim, Jong Chul Ye

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

2206.11474 2022-09-21 cs.CV 83%

Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation

Shengming Li, Guangcong Zheng, Hui Wang, Taiping Yao, Yang Chen, Shoudong Ding, Xi Li

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

Comments 24 pages, 8 figures

2209.04439 2022-09-12 cs.CV 83%

Improved Masked Image Generation with Token-Critic

José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa

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

Comments Accepted to ECCV 2022

2112.00390 2022-09-08 cs.CV cs.AI cs.LG 83%

SegDiff: Image Segmentation with Diffusion Probabilistic Models

Tomer Amit, Tal Shaharbany, Eliya Nachmani, Lior Wolf

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

2208.11970 2022-08-26 cs.LG cs.CV 83%

Understanding Diffusion Models: A Unified Perspective

Calvin Luo

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

2208.07791 2022-08-17 cs.CV 83%

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Xiulong Yang, Sheng-Min Shih, Yinlin Fu, Xiaoting Zhao, Shihao Ji

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

2207.13038 2022-07-27 cs.CV 83%

Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models

Robin Rombach, Andreas Blattmann, Björn Ommer

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

Comments 4 pages

2206.00386 2022-06-02 cs.CV cs.AI 83%

DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder

Jie Shi, Chenfei Wu, Jian Liang, Xiang Liu, Nan Duan

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

2205.12524 2022-05-31 cs.CV 83%

Accelerating Diffusion Models via Early Stop of the Diffusion Process

Zhaoyang Lyu, Xudong XU, Ceyuan Yang, Dahua Lin, Bo Dai

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/ZhaoyangLyu/Early_Stopped_DDPM

2111.05826 2022-05-05 cs.CV cs.LG 83%

Palette: Image-to-Image Diffusion Models

Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi

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

2204.02641 2022-04-07 cs.CV 83%

The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models

Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe C. Cattin

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

2112.05146 2022-03-22 eess.IV cs.CV cs.LG stat.ML 83%

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction

Hyungjin Chung, Byeongsu Sim, Jong Chul Ye

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

Comments Accepted to CVPR 2022

2112.03126 2022-03-17 cs.CV cs.LG 83%

Label-Efficient Semantic Segmentation with Diffusion Models

Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, Artem Babenko

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

Comments ICLR'2022; v3: camera ready

2203.04304 2022-03-16 cs.CV eess.IV 83%

Dynamic Dual-Output Diffusion Models

Yaniv Benny, Lior Wolf

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

Comments To be presented at CVPR 2022

1. 扩散模型 70196 篇

SinDiffusion: Learning a Diffusion Model from a Single Natural Image

Null-text Inversion for Editing Real Images using Guided Diffusion Models

Red-Teaming the Stable Diffusion Safety Filter

Evaluating a Synthetic Image Dataset Generated with Stable Diffusion

Spot the fake lungs: Generating Synthetic Medical Images using Neural Diffusion Models

Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation

DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models

Markup-to-Image Diffusion Models with Scheduled Sampling

f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation

Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives

CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning

Denoising Diffusion Implicit Models

clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIP

Imagen Video: High Definition Video Generation with Diffusion Models

Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models

Pyramidal Denoising Diffusion Probabilistic Models

Denoising MCMC for Accelerating Diffusion-Based Generative Models

Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation

Improved Masked Image Generation with Token-Critic

SegDiff: Image Segmentation with Diffusion Probabilistic Models

Understanding Diffusion Models: A Unified Perspective

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models

DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder

Accelerating Diffusion Models via Early Stop of the Diffusion Process

Palette: Image-to-Image Diffusion Models

The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction

Label-Efficient Semantic Segmentation with Diffusion Models

Dynamic Dual-Output Diffusion Models