图像生成 - arXivDaily 专题

2208.14125 2023-03-15 cs.CV cs.AI cs.LG stat.ML 79%

A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images

Dominik J. E. Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr

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

2303.06371 2023-03-14 cs.CV 79%

AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image

Zhuchen Shao, Liuxi Dai, Yifeng Wang, Haoqian Wang, Yongbing Zhang

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

2302.01843 2023-03-14 cs.CV 79%

MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders

Naser Damer, Meiling Fang, Patrick Siebke, Jan Niklas Kolf, Marco Huber, Fadi Boutros

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

Comments Accepted at the 11th International Workshop on Biometrics and Forensics 2023 (IWBF 2023)

2303.05125 2023-03-10 cs.CV 79%

Cones: Concept Neurons in Diffusion Models for Customized Generation

Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao

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

2303.05049 2023-03-10 cs.CV 79%

Unifying Layout Generation with a Decoupled Diffusion Model

Mude Hui, Zhizheng Zhang, Xiaoyi Zhang, Wenxuan Xie, Yuwang Wang, Yan Lu

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

Comments Accepted by CVPR2023

2303.04603 2023-03-09 eess.IV cs.CV 79%

Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement

Puijin Cheng, Li Lin, Yijin Huang, Huaqing He, Wenhan Luo, Xiaoying Tang

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

2303.04248 2023-03-09 cs.LG cs.CV 79%

TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu

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

2303.03758 2023-03-08 eess.IV cs.CV 79%

Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI

Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer

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

Comments Accepted full paper at the MIDL23 conference

2203.08382 2023-03-07 cs.CV cs.AI cs.LG 79%

Dual Diffusion Implicit Bridges for Image-to-Image Translation

Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon

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

Comments 18 pages, 12 figures, in the Eleventh International Conference on Learning Representations (ICLR 2023)

2212.09748 2023-03-03 cs.CV cs.LG 79%

Scalable Diffusion Models with Transformers

William Peebles, Saining Xie

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

Comments Code, project page and videos available at https://www.wpeebles.com/DiT

2303.00608 2023-03-02 cs.CV 79%

Level Up the Deepfake Detection: a Method to Effectively Discriminate Images Generated by GAN Architectures and Diffusion Models

Luca Guarnera, Oliver Giudice, Sebastiano Battiato

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

2303.00165 2023-03-02 cs.CV cs.AI 79%

Diffusion Probabilistic Fields

Peiye Zhuang, Samira Abnar, Jiatao Gu, Alex Schwing, Joshua M. Susskind, Miguel Ángel Bautista

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

Comments Accepted to ICLR 2023. 20 pages, 17 figures

2212.12990 2023-03-02 cs.CV cs.AI 79%

Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models

Zijian Zhang, Zhou Zhao, Zhijie Lin

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

Comments Accepted by NeurIPS 2022 Conference

2210.06184 2023-03-01 cs.CV cs.LG cs.NE 79%

Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules

Kazuki Irie, Jürgen Schmidhuber

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

Comments Accepted to ICLR 2023

2302.13700 2023-02-28 cs.LG cs.CV cs.SD eess.AS 79%

Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech

Jiyoung Lee, Joon Son Chung, Soo-Whan Chung

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

Comments ICASSP 2023. Project page: https://facetts.github.io

2205.01490 2023-02-28 cs.LG cs.CV 79%

Subspace Diffusion Generative Models

Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola

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

Comments ECCV 2022

2107.03006 2023-02-23 cs.LG cs.AI cs.CL cs.CV 79%

Structured Denoising Diffusion Models in Discrete State-Spaces

Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg

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

Comments 10 pages plus references and appendices. First two authors contributed equally

2302.10305 2023-02-22 cs.CV cs.AI cs.LG 79%

Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance

Chaerin Kong, Nojun Kwak

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

Comments 6 pages

2302.10109 2023-02-21 cs.CV cs.LG 79%

NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion

Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi

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

Comments Project page: https://jiataogu.me/nerfdiff/

2203.09992 2023-02-21 cs.CV cs.LG stat.AP 79%

Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images

Sam L. Polk, Kangning Cui, Aland H. Y. Chan, David A. Coomes, Robert J. Plemmons, James M. Murphy

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

Comments 28 pages, 11 figures

Journal ref Remote Sens. 2023, 15(4), 1053

2302.09057 2023-02-20 cs.LG cs.AI cs.CV cs.IT math.IT 79%

Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent

Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis

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

Comments 29 pages, 8 figures

2302.08931 2023-02-20 cs.CV 79%

LDFA: Latent Diffusion Face Anonymization for Self-driving Applications

Marvin Klemp, Kevin Rösch, Royden Wagner, Jannik Quehl, Martin Lauer

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

Comments 6 pages, 5 figures

2302.00670 2023-02-20 cs.LG cs.CV 79%

Stable Target Field for Reduced Variance Score Estimation in Diffusion Models

Yilun Xu, Shangyuan Tong, Tommi Jaakkola

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

Comments Accepted by ICLR 2023. Code available at: https://github.com/Newbeeer/stf

2302.07864 2023-02-16 cs.CV eess.IV 79%

Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild

Hshmat Sahak, Daniel Watson, Chitwan Saharia, David Fleet

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

2209.14566 2023-02-16 eess.IV cs.CV cs.LG 79%

Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation

Boah Kim, Yujin Oh, Jong Chul Ye

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

Comments Accepted at ICLR 2023

2302.07121 2023-02-15 cs.CV cs.LG 79%

Universal Guidance for Diffusion Models

Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein

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

2302.06826 2023-02-15 cs.CV 79%

DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models

Shidong Cao, Wenhao Chai, Shengyu Hao, Yanting Zhang, Hangyue Chen, Gaoang Wang

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

2302.05573 2023-02-14 cs.CV 79%

3D Colored Shape Reconstruction from a Single RGB Image through Diffusion

Bo Li, Xiaolin Wei, Fengwei Chen, Bin Liu

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

Comments 9 pages, 8 figures

2302.01394 2023-02-13 cs.CV 79%

Understanding and contextualising diffusion models

Stefano Scotta, Alberto Messina

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

2301.11482 2023-02-08 eess.IV cs.CV cs.LG 79%

Diffusion Denoising for Low-Dose-CT Model

Runyi Li

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

Comments The method and experiment of this paper has some error, and we need to revise it

1. 扩散模型 70406 篇

A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images

AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image

MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders

Cones: Concept Neurons in Diffusion Models for Customized Generation

Unifying Layout Generation with a Decoupled Diffusion Model

Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement

TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI

Dual Diffusion Implicit Bridges for Image-to-Image Translation

Scalable Diffusion Models with Transformers

Level Up the Deepfake Detection: a Method to Effectively Discriminate Images Generated by GAN Architectures and Diffusion Models

Diffusion Probabilistic Fields

Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models

Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules

Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech

Subspace Diffusion Generative Models

Structured Denoising Diffusion Models in Discrete State-Spaces

Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance

NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion

Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images

Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent

LDFA: Latent Diffusion Face Anonymization for Self-driving Applications

Stable Target Field for Reduced Variance Score Estimation in Diffusion Models

Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild

Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation

Universal Guidance for Diffusion Models

DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models

3D Colored Shape Reconstruction from a Single RGB Image through Diffusion

Understanding and contextualising diffusion models

Diffusion Denoising for Low-Dose-CT Model