图像生成 - arXivDaily 专题

2502.04412 2025-02-10 cs.CV cs.AI cs.CL 85%

Decoder-Only LLMs are Better Controllers for Diffusion Models

Ziyi Dong, Yao Xiao, Pengxu Wei, Liang Lin

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

2502.03426 2025-02-06 cs.CV cs.AI 85%

TruePose: Human-Parsing-guided Attention Diffusion for Full-ID Preserving Pose Transfer

Zhihong Xu, Dongxia Wang, Peng Du, Yang Cao, Qing Guo

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

2501.16764 2025-01-29 cs.CV 85%

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation

Chenguo Lin, Panwang Pan, Bangbang Yang, Zeming Li, Yadong Mu

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

Comments Accepted to ICLR 2025; Project page: https://chenguolin.github.io/projects/DiffSplat

2409.14677 2025-01-28 cs.CV 85%

Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections

Ankit Dhiman, Manan Shah, Rishubh Parihar, Yash Bhalgat, Lokesh R Boregowda, R Venkatesh Babu

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

Comments Accepted to 3DV 2025. First two authors contributed equally. Project Page: https://val.cds.iisc.ac.in/reflecting-reality.github.io/

2411.03177 2025-01-22 cs.CV cs.AI 85%

On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models

Tariq Berrada Ifriqi, Pietro Astolfi, Melissa Hall, Reyhane Askari-Hemmat, Yohann Benchetrit, Marton Havasi, Matthew Muckley, Karteek Alahari, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal

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

Comments Accepted as a conference paper (poster) for NeurIPS 2024

2409.18124 2025-01-22 cs.CV 85%

Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

Jing He, Haodong Li, Wei Yin, Yixun Liang, Leheng Li, Kaiqiang Zhou, Hongbo Zhang, Bingbing Liu, Ying-Cong Chen

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

Comments The first two authors contributed equally. Project page: https://lotus3d.github.io/

2403.18103 2025-01-09 cs.LG cs.CV 85%

Tutorial on Diffusion Models for Imaging and Vision

Stanley H. Chan

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

2412.21117 2025-01-03 cs.CV 85%

Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation

Yuanbo Yang, Jiahao Shao, Xinyang Li, Yujun Shen, Andreas Geiger, Yiyi Liao

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

2501.00375 2025-01-03 cs.CV cs.LG 85%

Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free

Evelyn Zhang, Bang Xiao, Jiayi Tang, Qianli Ma, Chang Zou, Xuefei Ning, Xuming Hu, Linfeng Zhang

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

2404.00234 2024-12-31 cs.CV 85%

Grid Diffusion Models for Text-to-Video Generation

Taegyeong Lee, Soyeong Kwon, Taehwan Kim

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

Comments This paper is being withdrawn due to issues of misconduct in the experiments presented in Table 1 and 5. We recognize this as an ethical concern and sincerely apologize to the research community for any inconvenience it may have caused

2412.18797 2024-12-30 cs.CV 85%

DRDM: A Disentangled Representations Diffusion Model for Synthesizing Realistic Person Images

Enbo Huang, Yuan Zhang, Faliang Huang, Guangyu Zhang, Yang Liu

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

2412.05780 2024-12-24 cs.CV cs.AI 85%

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models

Qinchan Li, Kenneth Chen, Changyue Su, Qi Sun

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

2412.12550 2024-12-18 cs.CV 85%

Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration

Xinlong Cheng, Tiantian Cao, Guoan Cheng, Bangxuan Huang, Xinghan Tian, Ye Wang, Xiaoyu He, Weixin Li, Tianfan Xue, Xuan Dong

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

2412.09324 2024-12-16 cs.CV 85%

Are Conditional Latent Diffusion Models Effective for Image Restoration?

Yunchen Yuan, Junyuan Xiao, Xinjie Li

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

2412.03756 2024-12-06 cs.CV cs.AI 85%

Multi-view Image Diffusion via Coordinate Noise and Fourier Attention

Justin Theiss, Norman Müller, Daeil Kim, Aayush Prakash

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

Comments WACV 2025

2406.11831 2024-12-06 cs.CV 85%

Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models

Bingqi Ma, Zhuofan Zong, Guanglu Song, Hongsheng Li, Yu Liu

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

Comments NeurIPS 2024

2311.10162 2024-12-06 eess.IV cs.CV cs.LG physics.med-ph 85%

Learning to Reconstruct Accelerated MRI Through K-space Cold Diffusion without Noise

Guoyao Shen, Mengyu Li, Chad W. Farris, Stephan Anderson, Xin Zhang

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

Comments 21 pages, 5 figures, 4 tables

2412.03400 2024-12-05 cs.CV 85%

Implicit Priors Editing in Stable Diffusion via Targeted Token Adjustment

Feng He, Chao Zhang, Zhixue Zhao

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

2412.01821 2024-12-03 cs.CV 85%

World-consistent Video Diffusion with Explicit 3D Modeling

Qihang Zhang, Shuangfei Zhai, Miguel Angel Bautista, Kevin Miao, Alexander Toshev, Joshua Susskind, Jiatao Gu

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

Comments 16 pages, 10 figures

2412.00100 2024-12-03 cs.CV cs.LG stat.ML 85%

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

Maitreya Patel, Song Wen, Dimitris N. Metaxas, Yezhou Yang

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

Comments Project Page: https://flowchef.github.io

2306.13720 2024-12-02 cs.CV 85%

Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image Attenuation

Yuhang Huang, Zheng Qin, Xinwang Liu, Kai Xu

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

2404.05595 2024-11-27 cs.CV 85%

UniFL: Improve Latent Diffusion Model via Unified Feedback Learning

Jiacheng Zhang, Jie Wu, Yuxi Ren, Xin Xia, Huafeng Kuang, Pan Xie, Jiashi Li, Xuefeng Xiao, Weilin Huang, Shilei Wen, Lean Fu, Guanbin Li

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 Neurips2024

2411.16079 2024-11-26 cs.CV cs.AI 85%

Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models

Donggeun Ko, Dongjun Lee, Namjun Park, Wonkyeong Shim, Jaekwang Kim

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

Comments 8 pages + Appendix

2406.00777 2024-11-22 cs.CV cs.AI 85%

Diffusion Features to Bridge Domain Gap for Semantic Segmentation

Yuxiang Ji, Boyong He, Chenyuan Qu, Zhuoyue Tan, Chuan Qin, Liaoni Wu

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

Comments The code is released at https://github.com/Yux1angJi/DIFF

2405.15287 2024-11-19 cs.CV 85%

ArtWeaver: Advanced Dynamic Style Integration via Diffusion Model

Chengming Xu, Kai Hu, Qilin Wang, Donghao Luo, Jiangning Zhang, Xiaobin Hu, Yanwei Fu, Chengjie Wang

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

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

1. 扩散模型 70159 篇

Decoder-Only LLMs are Better Controllers for Diffusion Models

TruePose: Human-Parsing-guided Attention Diffusion for Full-ID Preserving Pose Transfer

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation

Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections

On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models

Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

Tutorial on Diffusion Models for Imaging and Vision

Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation

Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free

Grid Diffusion Models for Text-to-Video Generation

DRDM: A Disentangled Representations Diffusion Model for Synthesizing Realistic Person Images

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models

Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration

Are Conditional Latent Diffusion Models Effective for Image Restoration?

Multi-view Image Diffusion via Coordinate Noise and Fourier Attention

Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models

Learning to Reconstruct Accelerated MRI Through K-space Cold Diffusion without Noise

Implicit Priors Editing in Stable Diffusion via Targeted Token Adjustment

World-consistent Video Diffusion with Explicit 3D Modeling

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image Attenuation

UniFL: Improve Latent Diffusion Model via Unified Feedback Learning

Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models

Diffusion Features to Bridge Domain Gap for Semantic Segmentation

ArtWeaver: Advanced Dynamic Style Integration via Diffusion Model

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