图像生成

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

HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning

Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, Yuki Mitsufuji

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

Comments Published in International Conference on Learning Representations (ICLR) 2025

DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction

Junjie Zhou, Shouju Wang, Yuxia Tang, Qi Zhu, Daoqiang Zhang, Wei Shao

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

Comments Accepted by CVPR 2025

Autoregressive Image Generation with Vision Full-view Prompt

Miaomiao Cai, Guanjie Wang, Wei Li, Zhijun Tu, Hanting Chen, Shaohui Lin, Jie Hu

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

Preserving Product Fidelity in Large Scale Image Recontextualization with Diffusion Models

Ishaan Malhi, Praneet Dutta, Ellie Talius, Sally Ma, Brendan Driscoll, Krista Holden, Garima Pruthi, Arunachalam Narayanaswamy

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

Diffusion Transformer Meets Random Masks: An Advanced PET Reconstruction Framework

Bin Huang, Binzhong He, Yanhan Chen, Zhili Liu, Xinyue Wang, Binxuan Li, Qiegen Liu

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

SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models

Hesen Chen, Junyan Wang, Zhiyu Tan, Hao Li

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

Comments Technical report

DiffDoctor: Diagnosing Image Diffusion Models Before Treating

Yiyang Wang, Xi Chen, Xiaogang Xu, Sihui Ji, Yu Liu, Yujun Shen, Hengshuang Zhao

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

Comments 8 pages of main body

TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On

Zhenchen Wan, Yanwu Xu, Zhaoqing Wang, Feng Liu, Tongliang Liu, Mingming Gong

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

Comments Project page: https://github.com/ZhenchenWan/TED-VITON

Volumetric Conditioning Module to Control Pretrained Diffusion Models for 3D Medical Images

Suhyun Ahn, Wonjung Park, Jihoon Cho, Seunghyuck Park, Jinah Park

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

Comments 17 pages, 18 figures, accepted @ WACV 2025

Journal ref Proceedings of the Winter Conference on Applications of Computer Vision (WACV), pp. 85-95, Feb. 2025

MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion

Onkar Susladkar, Jishu Sen Gupta, Chirag Sehgal, Sparsh Mittal, Rekha Singhal

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

Comments Accepted in ICLR 2025 (spotlight paper)

Color Alignment in Diffusion

Ka Chun Shum, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung

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

Comments CVPR 2025

E2ED^2:Direct Mapping from Noise to Data for Enhanced Diffusion Models

Zhiyu Tan, WenXu Qian, Hesen Chen, Mengping Yang, Lei Chen, Hao Li

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

Comments Technical report

Timestep-Aware Diffusion Model for Extreme Image Rescaling

Ce Wang, Zhenyu Hu, Wanjie Sun, Zhenzhong Chen

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

Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models

Zheng Li, Liangbin Xie, Jiantao Zhou, Xintao Wang, Haiwei Wu, Jinyu Tian

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

Toward Lightweight and Fast Decoders for Diffusion Models in Image and Video Generation

Alexey Buzovkin, Evgeny Shilov

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

Comments 11 pages, 8 figures, 3 tables

VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models

Taesung Kwon, Jong Chul Ye

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

Comments Project page: https://vision-xl.github.io/

GuardDoor: Safeguarding Against Malicious Diffusion Editing via Protective Backdoors

Yaopei Zeng, Yuanpu Cao, Lu Lin

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

From Architectural Sketch to Conceptual Representation: Using Structure-Aware Diffusion Model to Generate Renderings of School Buildings

Zhengyang Wang, Hao Jin, Xusheng Du, Yuxiao Ren, Ye Zhang, Haoran Xie

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

Comments 10 pages, 5 figures, in Proceedings of CAADRIA 2025

SPG: Improving Motion Diffusion by Smooth Perturbation Guidance

Boseong Jeon

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

Finding Local Diffusion Schrödinger Bridge using Kolmogorov-Arnold Network

Xingyu Qiu, Mengying Yang, Xinghua Ma, Fanding Li, Dong Liang, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li

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

Comments 16 pages, 10 figures, accepted by CVPR 2025

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models

Qian Zeng, Jie Song, Han Zheng, Hao Jiang, Mingli Song

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

Comments 9 pages, 4 figures, acceptted by AAAI2025, the code is available at https://github.com/taylorjocelyn/d2-dpm

TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation

Gihyun Kwon, Jong Chul Ye

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

Comments Github Page: https://github.com/KwonGihyun/TweedieMix

Continual Learning of Diffusion Models with Generative Distillation

Sergi Masip, Pau Rodriguez, Tinne Tuytelaars, Gido M. van de Ven

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

Comments To appear in the Proceedings of the Third Conference on Lifelong Learning Agents (CoLLAs), 2024

Journal ref Proceedings of The 3rd Conference on Lifelong Learning Agents, PMLR 274: 431-456, 2025

CacheQuant: Comprehensively Accelerated Diffusion Models

Xuewen Liu, Zhikai Li, Qingyi Gu

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

Comments CVPR 2025

Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization

Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu

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