图像生成 - arXivDaily 专题

2411.09174 2024-11-15 cs.CV cs.AI cs.LG eess.IV 85%

Advancing Diffusion Models: Alias-Free Resampling and Enhanced Rotational Equivariance

Md Fahim Anjum

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

Comments 13 pages, 7 figures

2410.24006 2024-11-15 cs.CV cs.LG 85%

DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination

Jia Fu, Xiao Zhang, Sepideh Pashami, Fatemeh Rahimian, Anders Holst

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

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

2411.08196 2024-11-14 cs.CV 85%

Latent Space Disentanglement in Diffusion Transformers Enables Precise Zero-shot Semantic Editing

Zitao Shuai, Chenwei Wu, Zhengxu Tang, Bowen Song, Liyue Shen

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

Comments arXiv admin note: substantial text overlap with arXiv:2408.13335

2407.11288 2024-11-13 eess.IV cs.AI cs.CV cs.LG 85%

Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems

Yaşar Utku Alçalar, Mehmet Akçakaya

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

Comments European Conference on Computer Vision (ECCV), 2024

2411.02395 2024-11-05 cs.CV 85%

Training-free Regional Prompting for Diffusion Transformers

Anthony Chen, Jianjin Xu, Wenzhao Zheng, Gaole Dai, Yida Wang, Renrui Zhang, Haofan Wang, Shanghang Zhang

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

Comments Code is available at https://github.com/antonioo-c/Regional-Prompting-FLUX

2410.11208 2024-10-31 cs.CV cs.LG 85%

DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models

Zhengyang Yu, Zhaoyuan Yang, Jing Zhang

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

Comments Published as a conference paper at NeurIPS 2024

2410.20165 2024-10-29 cs.CV cs.AI 85%

Diff-CXR: Report-to-CXR generation through a disease-knowledge enhanced diffusion model

Peng Huang, Bowen Guo, Shuyu Liang, Junhu Fu, Yuanyuan Wang, Yi Guo

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

2410.16657 2024-10-23 cs.LG cs.CV 85%

Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting

Bao Q. Tran, Viet Nguyen, Anh Tran, Toan Tran

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

2308.01472 2024-10-22 cs.CV cs.CL cs.LG 85%

Reverse Stable Diffusion: What prompt was used to generate this image?

Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah

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

Comments Accepted for publication in Computer Vision and Image Understanding

2410.14429 2024-10-21 cs.CV cs.AI cs.LG 85%

FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models

Rui Hu, Qian He, Gaofeng He, Jiedong Zhuang, Huang Chen, Huafeng Liu, Huamin Wang

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

Comments Accepted by NeurIPS 2024

2410.13122 2024-10-18 cs.CV cs.LG 85%

Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum

Nashrah Haque, Xiang Li, Zhehui Chen, Yanzhao Wu, Lei Yu, Arun Iyengar, Wenqi Wei

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

Comments 10 pages, 12 figures. To be published in IEEE TPS 2024 Proceedings. Code available on GitHub: https://github.com/nashrahhaque/SD-MIAE

2410.10257 2024-10-15 cs.CV 85%

Saliency Guided Optimization of Diffusion Latents

Xiwen Wang, Jizhe Zhou, Xuekang Zhu, Cheng Li, Mao Li

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

2410.10133 2024-10-15 cs.CV 85%

TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control

Weichao Zeng, Yan Shu, Zhenhang Li, Dongbao Yang, Yu Zhou

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

2308.01937 2024-10-15 cs.LG cs.AI cs.CR cs.CV 85%

Training Data Protection with Compositional Diffusion Models

Aditya Golatkar, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto

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

2408.10571 2024-10-11 cs.CV cs.AI 85%

Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models

Cong Wan, Yuhang He, Xiang Song, Yihong Gong

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

Comments Accepted by NIPS 2024

2410.04171 2024-10-10 cs.CV cs.AI 85%

IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis

Shitong Shao, Zikai Zhou, Lichen Bai, Haoyi Xiong, Zeke Xie

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

2405.15234 2024-10-10 cs.CV cs.CR 85%

Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models

Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu

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

Comments Accepted by NeurIPS'24. Codes are available at https://github.com/OPTML-Group/AdvUnlearn

2312.06038 2024-10-08 cs.CV cs.LG 85%

Correcting Diffusion Generation through Resampling

Yujian Liu, Yang Zhang, Tommi Jaakkola, Shiyu Chang

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

2311.10794 2024-10-04 cs.CV 85%

Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression

Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan

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

Comments 10 pages, 5 figures

2410.00398 2024-10-02 cs.CV 85%

CusConcept: Customized Visual Concept Decomposition with Diffusion Models

Zhi Xu, Shaozhe Hao, Kai Han

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

2407.17095 2024-10-01 cs.CV 85%

MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models

Chunsan Hong, Tae-Hyun Oh, Minhyuk Sung

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

2302.11552 2024-09-17 cs.LG cs.AI cs.CV stat.ML 85%

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl

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

Comments ICML 2023, Project Webpage: https://energy-based-model.github.io/reduce-reuse-recycle/

2409.03514 2024-09-06 cs.CV 85%

Blended Latent Diffusion under Attention Control for Real-World Video Editing

Deyin Liu, Lin Yuanbo Wu, Xianghua Xie

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

2409.02543 2024-09-05 cs.CV 85%

StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models

Wen Li, Muyuan Fang, Cheng Zou, Biao Gong, Ruobing Zheng, Meng Wang, Jingdong Chen, Ming Yang

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

Comments Accepted by ECCV2024

2310.15111 2024-09-04 cs.CV cs.LG 85%

Matryoshka Diffusion Models

Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Josh Susskind, Navdeep Jaitly

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

Comments Accepted by ICLR2024

2408.15660 2024-08-29 cs.CV 85%

Merging and Splitting Diffusion Paths for Semantically Coherent Panoramas

Fabio Quattrini, Vittorio Pippi, Silvia Cascianelli, Rita Cucchiara

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

Comments Accepted at ECCV 2024

2408.14765 2024-08-28 cs.CV 85%

CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Street View Synthesis

Weijia Li, Jun He, Junyan Ye, Huaping Zhong, Zhimeng Zheng, Zilong Huang, Dahua Lin, Conghui He

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

Comments 21 pages, 11 figures

2408.13335 2024-08-27 cs.CV 85%

Latent Space Disentanglement in Diffusion Transformers Enables Zero-shot Fine-grained Semantic Editing

Zitao Shuai, Chenwei Wu, Zhengxu Tang, Bowen Song, Liyue Shen

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

2404.07600 2024-08-16 cs.CV 85%

Implicit and Explicit Language Guidance for Diffusion-based Visual Perception

Hefeng Wang, Jiale Cao, Jin Xie, Aiping Yang, Yanwei Pang

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

Comments Accepted by IEEE TMM

2312.14223 2024-07-18 cs.CV 85%

Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation

Nina Weng, Paraskevas Pegios, Eike Petersen, Aasa Feragen, Siavash Bigdeli

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

Comments Accepted at ECCV 2024

1. 扩散模型 70082 篇

Advancing Diffusion Models: Alias-Free Resampling and Enhanced Rotational Equivariance

DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination

Latent Space Disentanglement in Diffusion Transformers Enables Precise Zero-shot Semantic Editing

Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems

Training-free Regional Prompting for Diffusion Transformers

DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models

Diff-CXR: Report-to-CXR generation through a disease-knowledge enhanced diffusion model

Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting

Reverse Stable Diffusion: What prompt was used to generate this image?

FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models

Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum

Saliency Guided Optimization of Diffusion Latents

TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control

Training Data Protection with Compositional Diffusion Models

Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models

IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis

Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models

Correcting Diffusion Generation through Resampling

Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression

CusConcept: Customized Visual Concept Decomposition with Diffusion Models

MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

Blended Latent Diffusion under Attention Control for Real-World Video Editing

StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models

Matryoshka Diffusion Models

Merging and Splitting Diffusion Paths for Semantically Coherent Panoramas

CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Street View Synthesis

Latent Space Disentanglement in Diffusion Transformers Enables Zero-shot Fine-grained Semantic Editing

Implicit and Explicit Language Guidance for Diffusion-based Visual Perception

Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation