图像生成 - arXivDaily 专题

2301.11093 2023-12-13 cs.CV cs.LG stat.ML 83%

Simple diffusion: End-to-end diffusion for high resolution images

Emiel Hoogeboom, Jonathan Heek, Tim Salimans

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

2312.06708 2023-12-13 cs.CV 83%

Neutral Editing Framework for Diffusion-based Video Editing

Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong, Chang D. Yoo

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

Comments 18 pages, 14 figures

2312.06680 2023-12-13 cs.CV 83%

Perceptual Similarity guidance and text guidance optimization for Editing Real Images using Guided Diffusion Models

Ruichen Zhang

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

2312.06240 2023-12-12 cs.CV 83%

UIEDP:Underwater Image Enhancement with Diffusion Prior

Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Jianwei Niu, Fuchun Sun

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

2311.13713 2023-12-11 cs.CR cs.CV cs.LG 83%

A Somewhat Robust Image Watermark against Diffusion-based Editing Models

Mingtian Tan, Tianhao Wang, Somesh Jha

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

2312.04524 2023-12-08 cs.CV 83%

RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models

Ozgur Kara, Bariscan Kurtkaya, Hidir Yesiltepe, James M. Rehg, Pinar Yanardag

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

Comments Project webpage: https://rave-video.github.io , Github: http://github.com/rehg-lab/RAVE

2312.04236 2023-12-08 cs.CV cs.AI 83%

Detecting and Restoring Non-Standard Hands in Stable Diffusion Generated Images

Yiqun Zhang, Zhenyue Qin, Yang Liu, Dylan Campbell

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

2312.03817 2023-12-08 cs.CV 83%

Diffusion Illusions: Hiding Images in Plain Sight

Ryan Burgert, Xiang Li, Abe Leite, Kanchana Ranasinghe, Michael S. Ryoo

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

2312.03793 2023-12-08 cs.CV 83%

AnimateZero: Video Diffusion Models are Zero-Shot Image Animators

Jiwen Yu, Xiaodong Cun, Chenyang Qi, Yong Zhang, Xintao Wang, Ying Shan, Jian Zhang

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

Comments Project Page: https://vvictoryuki.github.io/animatezero.github.io/

2312.03772 2023-12-08 cs.CV 83%

DiffusionAtlas: High-Fidelity Consistent Diffusion Video Editing

Shao-Yu Chang, Hwann-Tzong Chen, Tyng-Luh Liu

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

Comments Preprint

2312.03667 2023-12-07 cs.CV 83%

WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on

xujie zhang, Xiu Li, Michael Kampffmeyer, Xin Dong, Zhenyu Xie, Feida Zhu, Haoye Dong, Xiaodan Liang

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

2312.01682 2023-12-07 cs.CV cs.AI 83%

ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning

Shi Zhenning, Dong Changsheng, Xie Xueshuo, Pan Bin, He Along, Li Tao

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

Comments arXiv admin note: text overlap with arXiv:2311.14900

2306.01923 2023-12-07 cs.CV 83%

The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation

Saurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi, Deqing Sun, David J. Fleet

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

Comments NeurIPS 2023 (Oral)

2312.02212 2023-12-06 cs.CV 83%

Portrait Diffusion: Training-free Face Stylization with Chain-of-Painting

Jin Liu, Huaibo Huang, Chao Jin, Ran He

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

2312.01742 2023-12-05 cs.CV 83%

Fully Spiking Denoising Diffusion Implicit Models

Ryo Watanabe, Yusuke Mukuta, Tatsuya Harada

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

2312.01367 2023-12-05 cs.CV cs.AI 83%

DiFace: Cross-Modal Face Recognition through Controlled Diffusion

Bowen Sun, Shibao Zheng

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

2312.01097 2023-12-05 cs.CV cs.LG cs.RO 83%

Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty

Cheng-Fu Yang, Haoyang Xu, Te-Lin Wu, Xiaofeng Gao, Kai-Wei Chang, Feng Gao

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

2312.00852 2023-12-05 cs.LG cs.CV stat.ML 83%

Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion

Litu Rout, Yujia Chen, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu

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

Comments Preprint

2305.18670 2023-12-04 cs.CV 83%

SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-driven Video Editing

Nazmul Karim, Umar Khalid, Mohsen Joneidi, Chen Chen, Nazanin Rahnavard

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

Comments 11 pages, 10 figures

2311.18257 2023-12-01 cs.CV cs.LG 83%

Diffusion Models Without Attention

Jing Nathan Yan, Jiatao Gu, Alexander M. Rush

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

2306.00519 2023-12-01 cs.CV 83%

DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generation

Xiaoliang Ju, Zhaoyang Huang, Yijin Li, Guofeng Zhang, Yu Qiao, Hongsheng Li

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

Comments Updated: new work

2304.00916 2023-12-01 cs.CV 83%

DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models

Yukang Cao, Yan-Pei Cao, Kai Han, Ying Shan, Kwan-Yee K. Wong

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

Comments Project page: https://yukangcao.github.io/DreamAvatar/

2311.17901 2023-11-30 cs.CV cs.AI cs.LG 83%

SODA: Bottleneck Diffusion Models for Representation Learning

Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner

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

2310.01406 2023-11-30 cs.CV 83%

HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation

Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, Qing Wang

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

Comments The project page of HumanNorm is https://humannorm.github.io/

2311.16961 2023-11-29 cs.CV 83%

HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion

Jingbo Zhang, Xiaoyu Li, Qi Zhang, Yanpei Cao, Ying Shan, Jing Liao

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

Comments Homepage: https://eckertzhang.github.io/HumanRef.github.io/

2311.16424 2023-11-29 cs.LG cs.AI cs.CV 83%

Manifold Preserving Guided Diffusion

Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon

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

2311.16353 2023-11-29 cs.LG cs.AI cs.CV eess.IV eess.SP 83%

Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations

Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe

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

2308.16847 2023-11-29 cs.CV cs.LG eess.IV 83%

Diffusion Models for Interferometric Satellite Aperture Radar

Alexandre Tuel, Thomas Kerdreux, Claudia Hulbert, Bertrand Rouet-Leduc

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

2306.11363 2023-11-29 cs.CV cs.AI cs.LG 83%

Masked Diffusion Models Are Fast Distribution Learners

Jiachen Lei, Qinglong Wang, Peng Cheng, Zhongjie Ba, Zhan Qin, Zhibo Wang, Zhenguang Liu, Kui Ren

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

2306.03089 2023-11-29 cs.CV 83%

Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models

Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr

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

Comments NeurIPS 2023 (Oral). Project page: https://www.cs.cmu.edu/~afluo/BrainDiVE/

1. 扩散模型 70196 篇

Simple diffusion: End-to-end diffusion for high resolution images

Neutral Editing Framework for Diffusion-based Video Editing

Perceptual Similarity guidance and text guidance optimization for Editing Real Images using Guided Diffusion Models

UIEDP:Underwater Image Enhancement with Diffusion Prior

A Somewhat Robust Image Watermark against Diffusion-based Editing Models

RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models

Detecting and Restoring Non-Standard Hands in Stable Diffusion Generated Images

Diffusion Illusions: Hiding Images in Plain Sight

AnimateZero: Video Diffusion Models are Zero-Shot Image Animators

DiffusionAtlas: High-Fidelity Consistent Diffusion Video Editing

WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on

ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning

The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation

Portrait Diffusion: Training-free Face Stylization with Chain-of-Painting

Fully Spiking Denoising Diffusion Implicit Models

DiFace: Cross-Modal Face Recognition through Controlled Diffusion

Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty

Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion

SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-driven Video Editing

Diffusion Models Without Attention

DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generation

DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models

SODA: Bottleneck Diffusion Models for Representation Learning

HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation

HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion

Manifold Preserving Guided Diffusion

Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations

Diffusion Models for Interferometric Satellite Aperture Radar

Masked Diffusion Models Are Fast Distribution Learners

Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models