图像生成 - arXivDaily 专题

2405.02504 2024-11-13 eess.IV cs.CV 83%

Functional Imaging Constrained Diffusion for Brain PET Synthesis from Structural MRI

Minhui Yu, Mengqi Wu, Ling Yue, Andrea Bozoki, Mingxia Liu

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

2404.18252 2024-11-13 cs.CV 83%

Improving Training-free Conditional Diffusion Model via Fisher Information

Kaiyu Song, Hanjiang Lai

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

2404.08926 2024-11-13 cs.CV 83%

Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives

Yidan Liu, Jun Yue, Shaobo Xia, Pedram Ghamisi, Weiying Xie, Leyuan Fang

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

Journal ref in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-22, 2024, Art no. 4708322

2410.01698 2024-11-12 eess.IV cs.CV 83%

COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation

Ziyuan Zhang, Han Qiu, Maosen Zhang, Jun Liu, Bin Chen, Tianwei Zhang, Hewu Li

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

2411.03053 2024-11-06 cs.CV cs.AI 83%

Gradient-Guided Conditional Diffusion Models for Private Image Reconstruction: Analyzing Adversarial Impacts of Differential Privacy and Denoising

Tao Huang, Jiayang Meng, Hong Chen, Guolong Zheng, Xu Yang, Xun Yi, Hua Wang

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

2410.21314 2024-11-06 cs.CL cs.AI cs.CV cs.LG 83%

Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts

E. Zhixuan Zeng, Yuhao Chen, Alexander Wong

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

2410.21130 2024-11-06 cs.CV 83%

Extrapolating Prospective Glaucoma Fundus Images through Diffusion Model in Irregular Longitudinal Sequences

Zhihao Zhao, Junjie Yang, Shahrooz Faghihroohi, Yinzheng Zhao, Daniel Zapp, Kai Huang, Nassir Navab, M. Ali Nasseri

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

Comments Accepted at BIBM 2024

2408.14135 2024-11-04 cs.CV 83%

Foodfusion: A Novel Approach for Food Image Composition via Diffusion Models

Chaohua Shi, Xuan Wang, Si Shi, Xule Wang, Mingrui Zhu, Nannan Wang, Xinbo Gao

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

Comments 14 pages

2410.23788 2024-11-01 cs.CV cs.AI 83%

EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching

Xinwang Chen, Ning Liu, Yichen Zhu, Feifei Feng, Jian Tang

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

Comments Xinwang Chen and Ning Liu are with equal contributions. This paper has been accepted by NeurIPS 2024

2403.19593 2024-11-01 cs.CV 83%

Frame by Familiar Frame: Understanding Replication in Video Diffusion Models

Aimon Rahman, Malsha V. Perera, Vishal M. Patel

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

2410.22830 2024-10-31 eess.IV cs.CV 83%

Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images

Hanlin Wu, Jiangwei Mo, Xiaohui Sun, Jie Ma

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

2410.22732 2024-10-31 eess.IV cs.AI cs.CV 83%

st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic Model for Delayed Scan PET Image Prediction

Ran Hong, Yuxia Huang, Lei Liu, Zhonghui Wu, Bingxuan Li, Xuemei Wang, Qiegen Liu

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

2408.06646 2024-10-31 cs.CV 83%

Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models

Chenqian Yan, Songwei Liu, Hongjian Liu, Xurui Peng, Xiaojian Wang, Fangmin Chen, Lean Fu, Xing Mei

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

2405.12399 2024-10-31 cs.LG cs.AI cs.CV 83%

Diffusion for World Modeling: Visual Details Matter in Atari

Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos Storkey, Tim Pearce, François Fleuret

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

Comments NeurIPS 2024 (Spotlight)

2405.02730 2024-10-31 cs.CV 83%

U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers

Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang

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

Comments 12 pages, 5 figures

Journal ref NeurIPS 2024 Poster

2410.21721 2024-10-30 cs.CV 83%

DiffSTR: Controlled Diffusion Models for Scene Text Removal

Sanhita Pathak, Vinay Kaushik, Brejesh Lall

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

Comments 11 Pages, 6 Figures, 3 Tables

2410.02369 2024-10-30 cs.CV 83%

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation

Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, Chunhua Shen

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

Comments Accepted to Proc. Annual Conference on Neural Information Processing Systems (NeurIPS) 2024. Webpage: https://github.com/aim-uofa/DiffewS

2406.09292 2024-10-30 cs.CV cs.AI cs.LG 83%

Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models

Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf

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

Comments Additional details and video results are available at https://neural-assets-paper.github.io/

2405.14822 2024-10-30 cs.CV cs.AI cs.LG stat.ML 83%

PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher

Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon

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

Comments NeurIPS 2024

2410.20155 2024-10-29 cs.CV 83%

Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models

Liulei Li, Wenguan Wang, Yi Yang

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

Comments NeurIPS 2024

2410.19798 2024-10-29 cs.CV 83%

Stable Diffusion with Continuous-time Neural Network

Andras Horvath

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

2406.04333 2024-10-29 cs.CV 83%

BitsFusion: 1.99 bits Weight Quantization of Diffusion Model

Yang Sui, Yanyu Li, Anil Kag, Yerlan Idelbayev, Junli Cao, Ju Hu, Dhritiman Sagar, Bo Yuan, Sergey Tulyakov, Jian Ren

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

Comments NeurIPS 2024. Project Page: https://snap-research.github.io/BitsFusion

2211.01323 2024-10-28 eess.IV cs.CV cs.LG 83%

Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems

Kai Packhäuser, Lukas Folle, Florian Thamm, Andreas Maier

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

Comments This work has been submitted to the IEEE for possible publication

2410.18678 2024-10-25 cs.CV cs.AI 83%

Ali-AUG: Innovative Approaches to Labeled Data Augmentation using One-Step Diffusion Model

Ali Hamza, Aizea Lojo, Adrian Núñez-Marcos, Aitziber Atutxa

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

2311.14900 2024-10-25 cs.CV cs.AI 83%

Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise

Zhenning Shi, Haoshuai Zheng, Chen Xu, Changsheng Dong, Bin Pan, Xueshuo Xie, Along He, Tao Li, Huazhu Fu

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

Comments NeurIPS 2024

2308.14761 2024-10-25 cs.CV cs.LG 83%

Unified Concept Editing in Diffusion Models

Rohit Gandikota, Hadas Orgad, Yonatan Belinkov, Joanna Materzyńska, David Bau

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

Comments In proceedings of WACV 2024. Project Page: https://unified.baulab.info

2410.16942 2024-10-23 cs.CV 83%

DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization

Haowei Zhu, Dehua Tang, Ji Liu, Mingjie Lu, Jintu Zheng, Jinzhang Peng, Dong Li, Yu Wang, Fan Jiang, Lu Tian, Spandan Tiwari, Ashish Sirasao, Jun-Hai Yong, Bin Wang, Emad Barsoum

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

2410.16152 2024-10-23 cs.CV cs.AI cs.LG 83%

Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models

Giannis Daras, Weili Nie, Karsten Kreis, Alex Dimakis, Morteza Mardani, Nikola Borislavov Kovachki, Arash Vahdat

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

Comments Accepted in NeurIPS 2024

2410.03558 2024-10-21 cs.CV cs.AI 83%

Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features

Benyuan Meng, Qianqian Xu, Zitai Wang, Xiaochun Cao, Qingming Huang

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

2406.08552 2024-10-21 cs.CV 83%

DiTFastAttn: Attention Compression for Diffusion Transformer Models

Zhihang Yuan, Hanling Zhang, Pu Lu, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang

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

1. 扩散模型 70159 篇

Functional Imaging Constrained Diffusion for Brain PET Synthesis from Structural MRI

Improving Training-free Conditional Diffusion Model via Fisher Information

Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives

COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation

Gradient-Guided Conditional Diffusion Models for Private Image Reconstruction: Analyzing Adversarial Impacts of Differential Privacy and Denoising

Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts

Extrapolating Prospective Glaucoma Fundus Images through Diffusion Model in Irregular Longitudinal Sequences

Foodfusion: A Novel Approach for Food Image Composition via Diffusion Models

EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching

Frame by Familiar Frame: Understanding Replication in Video Diffusion Models

Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images

st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic Model for Delayed Scan PET Image Prediction

Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models

Diffusion for World Modeling: Visual Details Matter in Atari

U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers

DiffSTR: Controlled Diffusion Models for Scene Text Removal

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation

Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models

PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher

Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models

Stable Diffusion with Continuous-time Neural Network

BitsFusion: 1.99 bits Weight Quantization of Diffusion Model

Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems

Ali-AUG: Innovative Approaches to Labeled Data Augmentation using One-Step Diffusion Model

Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise

Unified Concept Editing in Diffusion Models

DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization

Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models

Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features

DiTFastAttn: Attention Compression for Diffusion Transformer Models