图像生成 - arXivDaily 专题

2310.19248 2023-10-31 cs.CV cs.AI cs.CR 83%

IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI

Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen

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

Comments 21 pages, 11 figures, 9 tables. Accepted by NeurIPS 2023

2305.16289 2023-10-31 cs.CV cs.AI 83%

Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation

Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell

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

Comments Update: replaced Planes dataset with Waterbirds & updated results after bug fix

2305.10855 2023-10-31 cs.CV 83%

TextDiffuser: Diffusion Models as Text Painters

Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, Furu Wei

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

Comments NeurIPS 2023

2310.13268 2023-10-31 cs.CV cs.LG 83%

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics

Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu

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

Comments Accepted at NeurIPS 2023

2307.12868 2023-10-30 cs.CV 83%

Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry

Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh

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

Comments This paper has been accepted for NeurIPS 2023

2305.14267 2023-10-27 cs.LG cs.CV cs.NA math.NA 83%

SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models

Martin Gonzalez, Nelson Fernandez, Thuy Tran, Elies Gherbi, Hatem Hajri, Nader Masmoudi

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

Comments 60 pages. Camera-Ready version for the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

2310.16825 2023-10-26 cs.CV cs.CY 83%

CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images

Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel, Jonathan Frankle, Cory Stephenson, Volodymyr Kuleshov

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

2310.16167 2023-10-26 cs.CV 83%

iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis

Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Guler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski

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

Comments Accepted to SIGGRAPH Asia, 2023 (Conference Papers)

2302.02285 2023-10-26 cs.CV cs.LG 83%

ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval

Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li

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

Comments ICML 2023

2310.13772 2023-10-24 cs.CV cs.LG 83%

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models

Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin

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

Comments Videos and more results on https://research.nvidia.com/labs/toronto-ai/texfusion/

Journal ref Proceedings of the IEEE/CVF International Conference on Computer Vision (2023) 4169-4181

2305.01115 2023-10-20 cs.CV 83%

In-Context Learning Unlocked for Diffusion Models

Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou

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

2305.10825 2023-10-19 cs.CV 83%

DiffUTE: Universal Text Editing Diffusion Model

Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang

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

Comments Accepted by NeurIPS'2023

2302.04867 2023-10-18 cs.LG cs.CV 83%

UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models

Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu

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

Comments Accepted by NeurIPS 2023. Project page: https://unipc.ivg-research.xyz

2310.10343 2023-10-17 cs.CV 83%

ConsistNet: Enforcing 3D Consistency for Multi-view Images Diffusion

Jiayu Yang, Ziang Cheng, Yunfei Duan, Pan Ji, Hongdong Li

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

2310.10338 2023-10-17 cs.CV 83%

Scene Graph Conditioning in Latent Diffusion

Frank Fundel

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

Comments Preprint

2310.09479 2023-10-17 cs.CV cs.AI 83%

Unified High-binding Watermark for Unconditional Image Generation Models

Ruinan Ma, Yu-an Tan, Shangbo Wu, Tian Chen, Yajie Wang, Yuanzhang Li

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

2303.08320 2023-10-16 cs.CV 83%

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

Zhengxiong Luo, Dayou Chen, Yingya Zhang, Yan Huang, Liang Wang, Yujun Shen, Deli Zhao, Jingren Zhou, Tieniu Tan

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

Comments Accepted to CVPR2023

2310.07771 2023-10-13 cs.CV cs.AI 83%

DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model

Xiaofan Li, Yifu Zhang, Xiaoqing Ye

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

Comments 11 pages

2303.01748 2023-10-13 cs.LG cs.CV stat.ML 83%

A Complete Recipe for Diffusion Generative Models

Kushagra Pandey, Stephan Mandt

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

Comments Accepted in ICCV'23 (Oral Presentation)

2307.12493 2023-10-11 cs.CV cs.AI 83%

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition

Shilin Lu, Yanzhu Liu, Adams Wai-Kin Kong

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

Comments Accepted by ICCV 2023

2306.17560 2023-10-11 cs.LG cs.CV 83%

Class-Incremental Learning using Diffusion Model for Distillation and Replay

Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata

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

Comments Best paper award at 1st Workshop on Visual Continual Learning, ICCV 2023

2306.00966 2023-10-06 cs.CV 83%

The Hidden Language of Diffusion Models

Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf

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

2310.02906 2023-10-05 cs.CV cs.AI 83%

Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts

Shiyi Du, Xiaosong Wang, Yongyi Lu, Yuyin Zhou, Shaoting Zhang, Alan Yuille, Kang Li, Zongwei Zhou

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

Comments 10 pages, 4 figures

2306.06991 2023-10-05 cs.CV cs.AI cs.LG 83%

Fast Diffusion Model

Zike Wu, Pan Zhou, Kenji Kawaguchi, Hanwang Zhang

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

2306.06233 2023-10-05 cs.SE cs.AI cs.CV 83%

Boosting GUI Prototyping with Diffusion Models

Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais, Binbin Xu, Pierre Louis Bernard, Gérard Dray

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

Comments Accepted for The 31st IEEE International Requirements Engineering Conference 2023, RE@Next! track

2310.01400 2023-10-03 cs.CV cs.LG 83%

Sequential Data Generation with Groupwise Diffusion Process

Sangyun Lee, Gayoung Lee, Hyunsu Kim, Junho Kim, Youngjung Uh

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

2305.04391 2023-10-03 cs.LG cs.CV cs.NA math.NA stat.ML 83%

A Variational Perspective on Solving Inverse Problems with Diffusion Models

Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat

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

2309.15807 2023-09-28 cs.CV 83%

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Xiaoliang Dai, Ji Hou, Chih-Yao Ma, Sam Tsai, Jialiang Wang, Rui Wang, Peizhao Zhang, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yi Wen, Yiwen Song, Roshan Sumbaly, Vignesh Ramanathan, Zijian He, Peter Vajda, Devi Parikh

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

2309.15103 2023-09-28 cs.CV 83%

LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models

Yaohui Wang, Xinyuan Chen, Xin Ma, Shangchen Zhou, Ziqi Huang, Yi Wang, Ceyuan Yang, Yinan He, Jiashuo Yu, Peiqing Yang, Yuwei Guo, Tianxing Wu, Chenyang Si, Yuming Jiang, Cunjian Chen, Chen Change Loy, Bo Dai, Dahua Lin, Yu Qiao, Ziwei Liu

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

Comments Project webpage: https://vchitect.github.io/LaVie-project/

2309.10438 2023-09-26 cs.CV 83%

AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration

Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji

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

1. 扩散模型 70082 篇

IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI

Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation

TextDiffuser: Diffusion Models as Text Painters

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics

Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry

SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models

CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images

iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis

ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models

In-Context Learning Unlocked for Diffusion Models

DiffUTE: Universal Text Editing Diffusion Model

UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models

ConsistNet: Enforcing 3D Consistency for Multi-view Images Diffusion

Scene Graph Conditioning in Latent Diffusion

Unified High-binding Watermark for Unconditional Image Generation Models

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model

A Complete Recipe for Diffusion Generative Models

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition

Class-Incremental Learning using Diffusion Model for Distillation and Replay

The Hidden Language of Diffusion Models

Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts

Fast Diffusion Model

Boosting GUI Prototyping with Diffusion Models

Sequential Data Generation with Groupwise Diffusion Process

A Variational Perspective on Solving Inverse Problems with Diffusion Models

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models

AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration