图像生成

Enhancing Creative Generation on Stable Diffusion-based Models

Jiyeon Han, Dahee Kwon, Gayoung Lee, Junho Kim, Jaesik Choi

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

Comments CVPR 2025 accepted paper

Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping

Ning Ding, Jing Han, Yuchuan Tian, Chao Xu, Kai Han, Yehui Tang

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

RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing

Zhipeng Huang, Wangbo Yu, Xinhua Cheng, ChengShu Zhao, Yunyang Ge, Mingyi Guo, Li Yuan, Yonghong Tian

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

DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning

Risheek Garrepalli, Shweta Mahajan, Munawar Hayat, Fatih Porikli

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

Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments

Luke Rowe, Roger Girgis, Anthony Gosselin, Liam Paull, Christopher Pal, Felix Heide

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

Comments CVPR 2025

Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation

Xiang Gao, Zhengbo Xu, Junhan Zhao, Jiaying Liu

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

Comments Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024)

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 2024, 38(3), 1824-1832

Contrastive Learning Guided Latent Diffusion Model for Image-to-Image Translation

Qi Si, Bo Wang, Zhao Zhang

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

Comments 11 pages, 13 figures

SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generation

Jingdan Kang, Haoxin Yang, Yan Cai, Huaidong Zhang, Xuemiao Xu, Yong Du, Shengfeng He

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

PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models

Junhyuk So, Jiwoong Shin, Chaeyeon Jang, Eunhyeok Park

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

Comments Accepted to the CVPR 2025

DiffV2IR: Visible-to-Infrared Diffusion Model via Vision-Language Understanding

Lingyan Ran, Lidong Wang, Guangcong Wang, Peng Wang, Yanning Zhang

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

Comments Project page: https://diffv2ir.github.io/

DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling

Xin Xie, Dong Gong

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

Zero-Shot Styled Text Image Generation, but Make It Autoregressive

Vittorio Pippi, Fabio Quattrini, Silvia Cascianelli, Alessio Tonioni, Rita Cucchiara

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

Comments Accepted at CVPR2025

An Image-like Diffusion Method for Human-Object Interaction Detection

Xiaofei Hui, Haoxuan Qu, Hossein Rahmani, Jun Liu

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

Comments CVPR 2025

Zero-Shot Low Light Image Enhancement with Diffusion Prior

Joshua Cho, Sara Aghajanzadeh, Zhen Zhu, D. A. Forsyth

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

Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion

Emiel Hoogeboom, Thomas Mensink, Jonathan Heek, Kay Lamerigts, Ruiqi Gao, Tim Salimans

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

Comments Accepted to CVPR 2025

Sequential Posterior Sampling with Diffusion Models

Tristan S. W. Stevens, Oisín Nolan, Jean-Luc Robert, Ruud J. G. van Sloun

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

Comments 5 pages, 4 figures, preprint

Journal ref 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Deciphering Oracle Bone Language with Diffusion Models

Haisu Guan, Huanxin Yang, Xinyu Wang, Shengwei Han, Yongge Liu, Lianwen Jin, Xiang Bai, Yuliang Liu

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

Comments ACL 2024 Best Paper

Diffusion Models with Deterministic Normalizing Flow Priors

Mohsen Zand, Ali Etemad, Michael Greenspan

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

Comments 17 pages, 7 figures, Published in Transactions on Machine Learning Research (TMLR)

Journal ref https://openreview.net/pdf?id=ACMNVwcR6v, Transactions on Machine Learning Research (TMLR), 2024

D2C: Unlocking the Potential of Continuous Autoregressive Image Generation with Discrete Tokens

Panpan Wang, Liqiang Niu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou

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

When Preferences Diverge: Aligning Diffusion Models with Minority-Aware Adaptive DPO

Lingfan Zhang, Chen Liu, Chengming Xu, Kai Hu, Donghao Luo, Chengjie Wang, Yanwei Fu, Yuan Yao

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

From Image to Video: An Empirical Study of Diffusion Representations

Pedro Vélez, Luisa F. Polanía, Yi Yang, Chuhan Zhang, Rishabh Kabra, Anurag Arnab, Mehdi S. M. Sajjadi

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

RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment

Chao Wang, Giulio Franzese, Alessandro Finamore, Pietro Michiardi

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

Comments to appear at ICLR 2025 Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy

Make the Most of Everything: Further Considerations on Disrupting Diffusion-based Customization

Long Tang, Dengpan Ye, Sirun Chen, Xiuwen Shi, Yunna Lv, Ziyi Liu

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

Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models

Luciano Baresi, Davide Yi Xian Hu, Andrea Stocco, Paolo Tonella

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

Comments Accepted for publication at the 47th International Conference on Software Engineering (ICSE 2025). This research was partially supported by project EMELIOT, funded by MUR under the PRIN 2020 program (n. 2020W3A5FY), by the Bavarian Ministry of Economic Affairs, Regional Development and Energy, by the TUM Global Incentive Fund, and by the EU Project Sec4AI4Sec (n. 101120393)

Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient

Yongliang Wu, Shiji Zhou, Mingzhuo Yang, Lianzhe Wang, Heng Chang, Wenbo Zhu, Xinting Hu, Xiao Zhou, Xu Yang

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

Comments AAAI 2025 camera-ready version

Diffusion-based Synthetic Data Generation for Visible-Infrared Person Re-Identification

Wenbo Dai, Lijing Lu, Zhihang Li

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

Comments AAAI 2025

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models

Khaled Abud, Sergey Lavrushkin, Alexey Kirillov, Dmitriy Vatolin

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

Comments GitHub repo: https://github.com/X1716/IQA-Adapter

Context-guided Responsible Data Augmentation with Diffusion Models

Khawar Islam, Naveed Akhtar

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

Comments ICLRw

Erase Diffusion: Empowering Object Removal Through Calibrating Diffusion Pathways

Yi Liu, Hao Zhou, Wenxiang Shang, Ran Lin, Benlei Cui

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

Comments accepted by CVPR 2025

Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning

Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang

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

Comments Accepted by CVPR2025