图像生成 - arXivDaily 专题

2311.11221 2024-11-27 cs.CV 79%

GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise

Xinhai Li, Huaibin Wang, Kuo-Kun Tseng

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

2310.09760 2024-11-27 cs.CV 79%

Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation

Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao

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

Comments Accepted by ICASSP 2024

Journal ref 10.1109/ICASSP48485.2024.10447893

2411.16668 2024-11-26 cs.CV 79%

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation

Bernd Von Gimborn, Philipp Ausserlechner, Markus Vincze, Stefan Thalhammer

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

2411.16629 2024-11-26 eess.IV cs.CV 79%

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction

Yiran Sun, Osama Mawlawi

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

Comments 5 pages, 3 figures

2411.16216 2024-11-26 cs.CV 79%

SMGDiff: Soccer Motion Generation using diffusion probabilistic models

Hongdi Yang, Chengyang Li, Zhenxuan Wu, Gaozheng Li, Jingya Wang, Jingyi Yu, Zhuo Su, Lan Xu

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

2411.16128 2024-11-26 cs.CV cs.AI 79%

CIA: Controllable Image Augmentation Framework Based on Stable Diffusion

Mohamed Benkedadra, Dany Rimez, Tiffanie Godelaine, Natarajan Chidambaram, Hamed Razavi Khosroshahi, Horacio Tellez, Matei Mancas, Benoit Macq, Sidi Ahmed Mahmoudi

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

Journal ref 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR) 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR) 10.1109/MIPR62202.2024

2410.12822 2024-11-26 cs.CV cs.LG 79%

AVID: Adapting Video Diffusion Models to World Models

Marc Rigter, Tarun Gupta, Agrin Hilmkil, Chao Ma

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

Comments Project Webpage: https://sites.google.com/view/avid-world-model-adapters/home

2410.04618 2024-11-26 cs.CV 79%

Towards Unsupervised Blind Face Restoration using Diffusion Prior

Tianshu Kuai, Sina Honari, Igor Gilitschenski, Alex Levinshtein

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

Comments WACV 2025. Project page: https://dt-bfr.github.io/

2409.07756 2024-11-26 cs.CV 79%

DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing

Zhenyuan Dong, Sai Qian Zhang

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

Comments Accepted at WACV 2025. Code is available at https://github.com/DZY122/DiTAS

2411.15719 2024-11-26 eess.IV cs.CV 79%

Comparative Analysis of Diffusion Generative Models in Computational Pathology

Denisha Thakkar, Vincent Quoc-Huy Trinh, Sonal Varma, Samira Ebrahimi Kahou, Hassan Rivaz, Mahdi S. Hosseini

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

Comments Submitted paper under review

2411.15426 2024-11-26 cs.CV 79%

LDM-Morph: Latent diffusion model guided deformable image registration

Jiong Wu, Kuang Gong

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

2411.15271 2024-11-26 cs.CV cs.AI 79%

EADReg: Probabilistic Correspondence Generation with Efficient Autoregressive Diffusion Model for Outdoor Point Cloud Registration

Linrui Gong, Jiuming Liu, Junyi Ma, Lihao Liu, Yaonan Wang, Hesheng Wang

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

2404.09846 2024-11-26 cs.CV 79%

A Diffusion-based Data Generator for Training Object Recognition Models in Ultra-Range Distance

Eran Bamani, Eden Nissinman, Lisa Koenigsberg, Inbar Meir, Avishai Sintov

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

Journal ref IEEE Robotics and Automation Letters, 2024

2403.13802 2024-11-26 cs.CV cs.AI cs.CL cs.LG 79%

ZigMa: A DiT-style Zigzag Mamba Diffusion Model

Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes Schusterbauer, Björn Ommer

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

Comments ECCV 2024 Project Page: https://taohu.me/zigma/

2311.12070 2024-11-26 eess.IV cs.CV 79%

FDDM: Unsupervised Medical Image Translation with a Frequency-Decoupled Diffusion Model

Yunxiang Li, Hua-Chieh Shao, Xiaoxue Qian, You Zhang

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

2411.14786 2024-11-25 cs.RO cs.CV 79%

FastGrasp: Efficient Grasp Synthesis with Diffusion

Xiaofei Wu, Tao Liu, Caoji Li, Yuexin Ma, Yujiao Shi, Xuming He

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

2411.14715 2024-11-25 cs.CV 79%

Any-to-3D Generation via Hybrid Diffusion Supervision

Yijun Fan, Yiwei Ma, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji

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

2408.15094 2024-11-25 cs.LG cs.CV math.OC 79%

Constrained Diffusion Models via Dual Training

Shervin Khalafi, Dongsheng Ding, Alejandro Ribeiro

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

Comments 31 pages, 4 figures, 4 tables

2411.14495 2024-11-25 cs.CV 79%

Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models

Hamidreza Dastmalchi, Aijun An, Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe

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

Comments Accepted to WACV 2025 (Winter Conference on Applications of Computer Vision)

2411.14208 2024-11-22 cs.CV 79%

Novel View Extrapolation with Video Diffusion Priors

Kunhao Liu, Ling Shao, Shijian Lu

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

2411.14120 2024-11-22 cs.CV 79%

Point Cloud Resampling with Learnable Heat Diffusion

Wenqiang Xu, Wenrui Dai, Duoduo Xue, Ziyang Zheng, Chenglin Li, Junni Zou, Hongkai Xiong

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

2411.13588 2024-11-22 cs.CV cs.AI 79%

Unveiling Redundancy in Diffusion Transformers (DiTs): A Systematic Study

Xibo Sun, Jiarui Fang, Aoyu Li, Jinzhe Pan

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

Comments 9 pages including reference

2407.11424 2024-11-22 cs.CV 79%

Model Inversion Attacks Through Target-Specific Conditional Diffusion Models

Ouxiang Li, Yanbin Hao, Zhicai Wang, Bin Zhu, Shuo Wang, Zaixi Zhang, Fuli Feng

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

2411.12831 2024-11-21 cs.CV 79%

Towards motion from video diffusion models

Paul Janson, Tiberiu Popa, Eugene Belilovsky

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

Comments Accepted at ECCV 2024 Workshop :Foundation Models for 3D Humans

2410.09467 2024-11-21 cs.CV 79%

Enhancing Single Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion Priors

Hritam Basak, Hadi Tabatabaee, Shreekant Gayaka, Ming-Feng Li, Xin Yang, Cheng-Hao Kuo, Arnie Sen, Min Sun, Zhaozheng Yin

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

2406.17343 2024-11-21 cs.CV cs.AI 79%

Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers

Lei Chen, Yuan Meng, Chen Tang, Xinzhu Ma, Jingyan Jiang, Xin Wang, Zhi Wang, Wenwu Zhu

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

2411.12306 2024-11-20 cs.CV 79%

Diffusion Product Quantization

Jie Shao, Hanxiao Zhang, Jianxin Wu

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

2411.10755 2024-11-20 eess.IV cs.CV cs.LG 79%

Diffusion-Based Semantic Segmentation of Lumbar Spine MRI Scans of Lower Back Pain Patients

Maria Monzon, Thomas Iff, Ender Konukoglu, Catherine R. Jutzeler

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

Comments Findings paper presented at Machine Learning for Health (ML4H) symposium 2024, December 15-16, 2024, Vancouver, Canada, 5 pages

2408.11287 2024-11-20 cs.CV cs.LG 79%

Taming Generative Diffusion Prior for Universal Blind Image Restoration

Siwei Tu, Weidong Yang, Ben Fei

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

Comments 15 pages, 12 figures, 8 tables

2406.10225 2024-11-20 cs.CV 79%

SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models

Zhaoxu Luo, Bowen Song, Liyue Shen

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

Comments Accepted by ICML 2024 Workshop on Advancing Neural Network Training (WANT): Computational Efficiency, Scalability, and Resource Optimization

1. 扩散模型 70277 篇

GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise

Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction

SMGDiff: Soccer Motion Generation using diffusion probabilistic models

CIA: Controllable Image Augmentation Framework Based on Stable Diffusion

AVID: Adapting Video Diffusion Models to World Models

Towards Unsupervised Blind Face Restoration using Diffusion Prior

DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing

Comparative Analysis of Diffusion Generative Models in Computational Pathology

LDM-Morph: Latent diffusion model guided deformable image registration

EADReg: Probabilistic Correspondence Generation with Efficient Autoregressive Diffusion Model for Outdoor Point Cloud Registration

A Diffusion-based Data Generator for Training Object Recognition Models in Ultra-Range Distance

ZigMa: A DiT-style Zigzag Mamba Diffusion Model

FDDM: Unsupervised Medical Image Translation with a Frequency-Decoupled Diffusion Model

FastGrasp: Efficient Grasp Synthesis with Diffusion

Any-to-3D Generation via Hybrid Diffusion Supervision

Constrained Diffusion Models via Dual Training

Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models

Novel View Extrapolation with Video Diffusion Priors

Point Cloud Resampling with Learnable Heat Diffusion

Unveiling Redundancy in Diffusion Transformers (DiTs): A Systematic Study

Model Inversion Attacks Through Target-Specific Conditional Diffusion Models

Towards motion from video diffusion models

Enhancing Single Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion Priors

Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers

Diffusion Product Quantization

Diffusion-Based Semantic Segmentation of Lumbar Spine MRI Scans of Lower Back Pain Patients

Taming Generative Diffusion Prior for Universal Blind Image Restoration

SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models