arXivDaily arXiv每日学术速递 周一至周五更新

视觉与机器人

图像生成

图像生成、文生图、图像编辑、扩散模型和可控生成。

共收录 70406 信号源:cs.CV, cs.GR, cs.MM

1. 扩散模型 70406 篇

2302.03018 2023-02-07 eess.IV cs.CV 79%

DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

Tiange Xiang, Mahmut Yurt, Ali B Syed, Kawin Setsompop, Akshay Chaudhari

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

Comments To appear in ICLR 2023

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2302.03011 2023-02-07 cs.CV 79%

Structure and Content-Guided Video Synthesis with Diffusion Models

Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis

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

Comments Project page at https://research.runwayml.com/gen1

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2302.02412 2023-02-07 cs.CV cs.AI cs.LG 79%

Mixture of Diffusers for scene composition and high resolution image generation

Álvaro Barbero Jiménez

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

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2302.02398 2023-02-07 cs.CV 79%

Diffusion Model for Generative Image Denoising

Yutong Xie, Minne Yuan, Bin Dong, Quanzheng Li

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

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2302.02057 2023-02-07 cs.CV 79%

Semantic Diffusion Network for Semantic Segmentation

Haoru Tan, Sitong Wu, Jimin Pi

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

Comments Accepted by NeurIPS2022

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2209.15264 2023-02-02 cs.CV cs.AI cs.LG stat.ML 79%

Diffusion-based Image Translation using Disentangled Style and Content Representation

Gihyun Kwon, Jong Chul Ye

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

Comments ICLR 2023 camera ready

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2301.13743 2023-02-01 cs.CV cs.AI cs.LG stat.ML 79%

Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion

Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu

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

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2301.13188 2023-01-31 cs.CR cs.CV cs.LG 79%

Extracting Training Data from Diffusion Models

Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace

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

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2212.08861 2023-01-31 cs.CV 79%

DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models

Gyeongnyeon Kim, Wooseok Jang, Gyuseong Lee, Susung Hong, Junyoung Seo, Seungryong Kim

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

Comments Project page is available at https://ku-cvlab.github.io/DAG/

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2301.11785 2023-01-30 cs.CV 79%

Dual Diffusion Architecture for Fisheye Image Rectification: Synthetic-to-Real Generalization

Shangrong Yang, Chunyu Lin, Kang Liao, Yao Zhao

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

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2301.06871 2023-01-18 cs.LG cs.CR cs.CV 79%

Denoising Diffusion Probabilistic Models as a Defense against Adversarial Attacks

Lars Lien Ankile, Anna Midgley, Sebastian Weisshaar

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

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2301.06015 2023-01-18 cs.CV 79%

Diffusion-based Generation, Optimization, and Planning in 3D Scenes

Siyuan Huang, Zan Wang, Puhao Li, Baoxiong Jia, Tengyu Liu, Yixin Zhu, Wei Liang, Song-Chun Zhu

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

Comments 20 pages

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2210.07411 2023-01-18 cs.CV 79%

TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography

Tengfei Xue, Fan Zhang, Leo R. Zekelman, Chaoyi Zhang, Yuqian Chen, Suheyla Cetin-Karayumak, Steve Pieper, William M. Wells, Yogesh Rathi, Nikos Makris, Weidong Cai, Lauren J. O'Donnell

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

Comments 28 pages, 4 figures

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2301.03027 2023-01-10 eess.IV cs.CV cs.LG 79%

Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction

Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye

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

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2301.01911 2023-01-06 eess.IV cs.CV 79%

TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography

Yuqian Chen, Fan Zhang, Leo R. Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell

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

Comments 5 pages, 3 figures

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2301.00527 2023-01-03 cs.CV 79%

Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data

Jumin Lee, Woobin Im, Sebin Lee, Sung-Eui Yoon

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

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2301.00409 2023-01-03 cs.CV cs.AI 79%

Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification

Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill Abrigo, Qi Dou

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

Comments 12 pages, 5 figures

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2212.13344 2022-12-29 cs.CV 79%

DiffFace: Diffusion-based Face Swapping with Facial Guidance

Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, KwangHee Lee

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

Comments Project Page: https://hxngiee.github.io/DiffFace

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2212.10805 2022-12-22 cs.SI cs.CV cs.IR 79%

Beyond Information Exchange: An Approach to Deploy Network Properties for Information Diffusion

Soumita Das, Anupam Biswas, Ravi Kishore Devarapalli

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

Comments To be published in BigDML 2021

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2211.15076 2022-12-20 cs.CV cs.AI cs.CL 79%

Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning

Xian Zhong, Zipeng Li, Shuqin Chen, Kui Jiang, Chen Chen, Mang Ye

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

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2205.11495 2022-12-19 cs.CV cs.LG 79%

Flexible Diffusion Modeling of Long Videos

William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood

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

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2212.07352 2022-12-15 cs.CV 79%

Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors

Kangfu Mei, Nithin Gopalakrishnan Nair, Vishal M. Patel

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

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2212.03860 2022-12-13 cs.LG cs.CV cs.CY 79%

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein

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

Comments Updated draft with the following changes (1) Clarified the LAION Aesthetics versions everywhere (2) Correction on which LAION Aesthetics version SD - 1.4 is finetuned on and updated figure 12 based on this (3) A section on possible causes of replication

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2212.03630 2022-12-08 eess.IV cs.CV 79%

One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging

Bin Huang, Liu Zhang, Shiyu Lu, Boyu Lin, Weiwen Wu, Qiegen Liu

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

Comments 11 pages, 11 figures. arXiv admin note: text overlap with arXiv:2211.13926

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2212.03267 2022-12-08 cs.CV 79%

NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors

Congyue Deng, Chiyu "Max'' Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov

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

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2212.03250 2022-12-08 cs.CV 79%

Neural Cell Video Synthesis via Optical-Flow Diffusion

Manuel Serna-Aguilera, Khoa Luu, Nathaniel Harris, Min Zou

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

Comments 9 pages, 2 tables, 7 figures

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2212.00774 2022-12-02 cs.CV cs.LG 79%

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, Greg Shakhnarovich

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

Comments project page https://pals.ttic.edu/p/score-jacobian-chaining

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2212.00235 2022-12-02 cs.CV 79%

VIDM: Video Implicit Diffusion Models

Kangfu Mei, Vishal M. Patel

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

Comments AAAI2023 https://kfmei.page/vidm/

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2211.16487 2022-11-30 cs.CV 79%

DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models

Karl Holmquist, Bastian Wandt

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

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2211.15462 2022-11-29 cs.CV cs.AI cs.CL 79%

Investigating Prompt Engineering in Diffusion Models

Sam Witteveen, Martin Andrews

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

Comments Paper submitted for Creativity and Design workshop at NeurIPS 2022. (4 pages including references + 7 page appendix). We would like to thank Google and the ML Developer Programs Team for their assistance and compute credits used in the experiments for this paper

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