图像生成 - arXivDaily 专题

2306.03881 2023-12-08 cs.CV 79%

Emergent Correspondence from Image Diffusion

Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan

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

Comments NeurIPS 2023. Project page: https://diffusionfeatures.github.io

2312.02981 2023-12-06 cs.CV 79%

ReconFusion: 3D Reconstruction with Diffusion Priors

Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, Aleksander Holynski

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

Comments Project page: https://reconfusion.github.io/

2312.02967 2023-12-06 cs.CV 79%

AmbiGen: Generating Ambigrams from Pre-trained Diffusion Model

Boheng Zhao, Rana Hanocka, Raymond A. Yeh

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

Comments Project page: https://raymond-yeh.com/AmbiGen/

2312.02719 2023-12-06 cs.CV 79%

A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling

Wentao Qu, Yuantian Shao, Lingwu Meng, Xiaoshui Huang, Liang Xiao

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

2312.02615 2023-12-06 cs.LG cs.CV 79%

Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models

Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee

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

Comments NeurIPS 2023

2312.02201 2023-12-06 cs.CV 79%

ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation

Peng Wang, Yichun Shi

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

Comments project page: https://Image-Dream.github.io

2311.16495 2023-12-06 cs.CV 79%

Egocentric Whole-Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement

Jian Wang, Zhe Cao, Diogo Luvizon, Lingjie Liu, Kripasindhu Sarkar, Danhang Tang, Thabo Beeler, Christian Theobalt

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

2306.17046 2023-12-06 cs.NE cs.CV 79%

Spiking Denoising Diffusion Probabilistic Models

Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu

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

Comments Accepted by WACV 2024

2311.11629 2023-12-05 cs.CV cs.LG 79%

Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models

Indu Ilanchezian, Valentyn Boreiko, Laura Kühlewein, Ziwei Huang, Murat Seçkin Ayhan, Matthias Hein, Lisa Koch, Philipp Berens

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

2312.01904 2023-12-05 cs.CV cs.LG eess.IV 79%

Unsupervised Anomaly Detection using Aggregated Normative Diffusion

Alexander Frotscher, Jaivardhan Kapoor, Thomas Wolfers, Christian F. Baumgartner

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

2312.01746 2023-12-05 cs.CV 79%

Open-DDVM: A Reproduction and Extension of Diffusion Model for Optical Flow Estimation

Qiaole Dong, Bo Zhao, Yanwei Fu

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

Comments Technical Report

2312.01725 2023-12-05 cs.CV 79%

StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On

Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, Jaegul Choo

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

Comments 17 pages

2312.01408 2023-12-05 cs.CV 79%

Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts

Tianqi Chen, Yongfei Liu, Zhendong Wang, Jianbo Yuan, Quanzeng You, Hongxia Yang, Mingyuan Zhou

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

2312.00845 2023-12-05 cs.CV cs.AI cs.LG 79%

VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models

Hyeonho Jeong, Geon Yeong Park, Jong Chul Ye

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

Comments Project page: https://video-motion-customization.github.io

2306.00783 2023-12-05 cs.CV 79%

FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models

Hao Zhang, Yanbo Xu, Tianyuan Dai, Yu-Wing Tai, Chi-Keung Tang

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

2305.19518 2023-12-05 cs.LG cs.CV 79%

Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels

Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen

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

Comments Accepted by NeurIPS 2023

2305.15712 2023-12-05 cs.CV cs.AI 79%

Knowledge Diffusion for Distillation

Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu

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

Comments NeurIPS 2023

2306.00854 2023-12-04 eess.IV cs.CV 79%

Spatio-Angular Convolutions for Super-resolution in Diffusion MRI

Matthew Lyon, Paul Armitage, Mauricio A Álvarez

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

2311.18834 2023-12-01 cs.CV 79%

ART$\boldsymbol{\cdot}$V: Auto-Regressive Text-to-Video Generation with Diffusion Models

Wenming Weng, Ruoyu Feng, Yanhui Wang, Qi Dai, Chunyu Wang, Dacheng Yin, Zhiyuan Zhao, Kai Qiu, Jianmin Bao, Yuhui Yuan, Chong Luo, Yueyi Zhang, Zhiwei Xiong

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

Comments 24 pages, 21 figures. Project page at https://warranweng.github.io/art.v

2311.18612 2023-12-01 eess.IV cs.CV 79%

Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion Weighted Imaging Data via Anatomic-Conditional Controlled Latent Diffusion

Aditya Sridhar, Chi-en Amy Tai, Hayden Gunraj, Yuhao Chen, Alexander Wong

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

2311.18508 2023-12-01 eess.IV cs.CV 79%

DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution

Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Trung X. Pham, Jinqiu Sun, Chang D. Yoo, In So Kweon, Yanning Zhang

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

2311.18071 2023-12-01 cs.CV 79%

Turn Down the Noise: Leveraging Diffusion Models for Test-time Adaptation via Pseudo-label Ensembling

Mrigank Raman, Rohan Shah, Akash Kannan, Pranit Chawla

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

Comments Accepted to Workshop on Distribution Shifts: New Frontiers with Foundation Models at Neurips 2023

2310.09912 2023-12-01 cs.CV cs.LG 79%

Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion Models

Zijian Zhang, Luping Liu, Zhijie Lin, Yichen Zhu, Zhou Zhao

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

2306.17140 2023-12-01 cs.CV 79%

ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models

Weihao Cheng, Yan-Pei Cao, Ying Shan

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

Comments Github: https://xt4d.github.io/id-pose-web/

2305.08192 2023-12-01 cs.CV 79%

Diffusion Models for Imperceptible and Transferable Adversarial Attack

Jianqi Chen, Hao Chen, Keyan Chen, Yilan Zhang, Zhengxia Zou, Zhenwei Shi

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

Comments Code Page: https://github.com/WindVChen/DiffAttack. In Paper Version v2, we incorporate more discussions and experiments

2304.10253 2023-12-01 cs.CV cs.LG 79%

Image retrieval outperforms diffusion models on data augmentation

Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell

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

2311.17261 2023-11-30 cs.CV 79%

SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors

Dave Zhenyu Chen, Haoxuan Li, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner

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

Comments Project website: https://daveredrum.github.io/SceneTex/

2306.15832 2023-11-30 cs.LG cs.AI cs.CV 79%

Easing Color Shifts in Score-Based Diffusion Models

Katherine Deck, Tobias Bischoff

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

2311.17053 2023-11-29 cs.RO cs.AI cs.CV cs.LG 79%

DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models

Tsun-Hsuan Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Joshua Tenenbaum, Chuang Gan, Daniela Rus

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

Comments NeurIPS 2023. Project page: https://diffusebot.github.io/

2311.16845 2023-11-29 cs.CV 79%

Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration

Chen Zhao, Weiling Cai, Chenyu Dong, Chengwei Hu

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

1. 扩散模型 70277 篇

Emergent Correspondence from Image Diffusion

ReconFusion: 3D Reconstruction with Diffusion Priors

AmbiGen: Generating Ambigrams from Pre-trained Diffusion Model

A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling

Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models

ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation

Egocentric Whole-Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement

Spiking Denoising Diffusion Probabilistic Models

Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models

Unsupervised Anomaly Detection using Aggregated Normative Diffusion

Open-DDVM: A Reproduction and Extension of Diffusion Model for Optical Flow Estimation

StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On

Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts

VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models

FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models

Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels

Knowledge Diffusion for Distillation

Spatio-Angular Convolutions for Super-resolution in Diffusion MRI

ART$\boldsymbol{\cdot}$V: Auto-Regressive Text-to-Video Generation with Diffusion Models

Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion Weighted Imaging Data via Anatomic-Conditional Controlled Latent Diffusion

DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution

Turn Down the Noise: Leveraging Diffusion Models for Test-time Adaptation via Pseudo-label Ensembling

Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion Models

ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models

Diffusion Models for Imperceptible and Transferable Adversarial Attack

Image retrieval outperforms diffusion models on data augmentation

SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors

Easing Color Shifts in Score-Based Diffusion Models

DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models

Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration