图像生成 - arXivDaily 专题

2407.21428 2024-08-01 cs.GR cs.AI 83%

Deformable 3D Shape Diffusion Model

Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu

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

2407.20785 2024-07-31 cs.CV 83%

Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory

Xiaoyan Xing, Vincent Tao Hu, Jan Hendrik Metzen, Konrad Groh, Sezer Karaoglu, Theo Gevers

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

2311.11325 2024-07-31 cs.CV eess.IV 83%

MoVideo: Motion-Aware Video Generation with Diffusion Models

Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan

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

Comments Accepted by ECCV2024. Project page: https://jingyunliang.github.io/MoVideo

2407.19453 2024-07-30 cs.CV 83%

FIND: Fine-tuning Initial Noise Distribution with Policy Optimization for Diffusion Models

Changgu Chen, Libing Yang, Xiaoyan Yang, Lianggangxu Chen, Gaoqi He, CHangbo Wang, Yang Li

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

2403.05139 2024-07-30 cs.CV 83%

Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Yisol Choi, Sangkyung Kwak, Kyungmin Lee, Hyungwon Choi, Jinwoo Shin

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

Comments ECCV 2024

2405.20584 2024-07-29 cs.CV cs.AI 83%

Disrupting Diffusion: Token-Level Attention Erasure Attack against Diffusion-based Customization

Yisu Liu, Jinyang An, Wanqian Zhang, Dayan Wu, Jingzi Gu, Zheng Lin, Weiping Wang

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

Comments Accepted by ACM MM2024

2407.16260 2024-07-24 cs.CV 83%

DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion Priors

Zizheng Yan, Jiapeng Zhou, Fanpeng Meng, Yushuang Wu, Lingteng Qiu, Zisheng Ye, Shuguang Cui, Guanying Chen, Xiaoguang Han

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

Comments ECCV 2024. Project page: https://chester256.github.io/dreamdissector

2407.16125 2024-07-24 cs.CV 83%

Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems

Sojin Lee, Dogyun Park, Inho Kong, Hyunwoo J. Kim

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

Comments ECCV 2024; 41 pages, 19 figures

2405.04889 2024-07-24 cs.CV cs.RO 83%

Fast LiDAR Upsampling using Conditional Diffusion Models

Sander Elias Magnussen Helgesen, Kazuto Nakashima, Jim Tørresen, Ryo Kurazume

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

Comments RO-MAN 2024

2401.12978 2024-07-24 cs.CV 83%

Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models

Hyeonwoo Kim, Sookwan Han, Patrick Kwon, Hanbyul Joo

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

Comments Project Page: https://snuvclab.github.io/coma/

2407.15811 2024-07-23 cs.CV cs.AI cs.LG 83%

Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget

Vikash Sehwag, Xianghao Kong, Jingtao Li, Michael Spranger, Lingjuan Lyu

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

Comments 41 pages, 28 figures, 5 tables

2407.15111 2024-07-23 cs.CV 83%

D$^4$-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On

Zhaotong Yang, Zicheng Jiang, Xinzhe Li, Huiyu Zhou, Junyu Dong, Huaidong Zhang, Yong Du

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

Comments ECCV2024

2406.19030 2024-07-23 cs.CV 83%

DiffLoss: unleashing diffusion model as constraint for training image restoration network

Jiangtong Tan, Feng Zhao

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

2407.14426 2024-07-22 cs.CV 83%

Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models

Hyun-Jic Oh, Won-Ki Jeong

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

Comments MICCAI 2024 accepted

2404.04833 2024-07-22 cs.CV 83%

ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model

Binghui Chen, Wenyu Li, Yifeng Geng, Xuansong Xie, Wangmeng Zuo

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

Comments ECCV2024; 16 pages

2407.13752 2024-07-19 cs.CV 83%

LogoSticker: Inserting Logos into Diffusion Models for Customized Generation

Mingkang Zhu, Xi Chen, Zhongdao Wang, Hengshuang Zhao, Jiaya Jia

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

Comments ECCV2024

2407.12889 2024-07-19 cs.CV 83%

GeoGuide: Geometric guidance of diffusion models

Mateusz Poleski, Jacek Tabor, Przemysław Spurek

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

2404.05980 2024-07-18 cs.CV cs.AI cs.LG 83%

Tackling Structural Hallucination in Image Translation with Local Diffusion

Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry F. J. Tregidgo, Asher Mullokandov, Philip Teare, Daniel C. Alexander

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

2403.13890 2024-07-18 eess.IV cs.AI cs.CV cs.LG 83%

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Richard Osuala, Daniel M. Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Diaz, Julia A. Schnabel, Karim Lekadir

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

Comments Early Accept at MICCAI2024

2311.15657 2024-07-18 cs.CV 83%

Enhancing Diffusion Models with Text-Encoder Reinforcement Learning

Chaofeng Chen, Annan Wang, Haoning Wu, Liang Liao, Wenxiu Sun, Qiong Yan, Weisi Lin

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

Comments ECCV2024

2407.11594 2024-07-17 cs.CV cs.AI cs.LG 83%

DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training

Guillermo Jimenez-Perez, Pedro Osorio, Josef Cersovsky, Javier Montalt-Tordera, Jens Hooge, Steffen Vogler, Sadegh Mohammadi

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

Comments 12 pages, 5 figures

2407.11162 2024-07-17 cs.CV 83%

Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images

Yifei Wang, Weimin Bai, Weijian Luo, Wenzheng Chen, He Sun

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

2407.10592 2024-07-16 cs.CV 83%

InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture

Phillip Mueller, Jannik Wiese, Ioan Craciun, Lars Mikelsons

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

2407.09551 2024-07-16 cs.CV cs.AI cs.LG 83%

Diminishing Stereotype Bias in Image Generation Model using Reinforcemenlent Learning Feedback

Xin Chen, Virgile Foussereau

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

2407.08513 2024-07-16 cs.CV 83%

Fine-Tuning Stable Diffusion XL for Stylistic Icon Generation: A Comparison of Caption Size

Youssef Sultan, Jiangqin Ma, Yu-Ying Liao

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

Comments 11 pages, 22 figures

2403.11503 2024-07-16 cs.CV 83%

Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors

Ruicheng Wang, Jianfeng Xiang, Jiaolong Yang, Xin Tong

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

Comments Project page: https://wangrc.site/Diff3DEdit/

2404.00292 2024-07-15 cs.CV 83%

LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion

Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang

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

Comments Accepted by CVPR 2024, Fig.2 and Equation 4 revised

2407.03961 2024-07-12 cs.CV cs.LG 83%

Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection

Federico Girella, Ziyue Liu, Franco Fummi, Francesco Setti, Marco Cristani, Luigi Capogrosso

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

Comments Accepted at the 21st International Conference on Content-Based Multimedia Indexing (CBMI 2024)

2407.08231 2024-07-12 cs.CV 83%

E2VIDiff: Perceptual Events-to-Video Reconstruction using Diffusion Priors

Jinxiu Liang, Bohan Yu, Yixin Yang, Yiming Han, Boxin Shi

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

2403.10911 2024-07-12 cs.CV 83%

Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation

Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon

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

Comments ECCV 2024 Camera Ready

1. 扩散模型 70159 篇

Deformable 3D Shape Diffusion Model

Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory

MoVideo: Motion-Aware Video Generation with Diffusion Models

FIND: Fine-tuning Initial Noise Distribution with Policy Optimization for Diffusion Models

Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Disrupting Diffusion: Token-Level Attention Erasure Attack against Diffusion-based Customization

DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion Priors

Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems

Fast LiDAR Upsampling using Conditional Diffusion Models

Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models

Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget

D$^4$-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On

DiffLoss: unleashing diffusion model as constraint for training image restoration network

Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models

ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model

LogoSticker: Inserting Logos into Diffusion Models for Customized Generation

GeoGuide: Geometric guidance of diffusion models

Tackling Structural Hallucination in Image Translation with Local Diffusion

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Enhancing Diffusion Models with Text-Encoder Reinforcement Learning

DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training

Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images

InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture

Diminishing Stereotype Bias in Image Generation Model using Reinforcemenlent Learning Feedback

Fine-Tuning Stable Diffusion XL for Stylistic Icon Generation: A Comparison of Caption Size

Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors

LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion

Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection

E2VIDiff: Perceptual Events-to-Video Reconstruction using Diffusion Priors

Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation