图像生成 - arXivDaily 专题

2312.02156 2025-05-13 cs.CV cs.AI 80%

Latent Feature-Guided Diffusion Models for Shadow Removal

Kangfu Mei, Luis Figueroa, Zhe Lin, Zhihong Ding, Scott Cohen, Vishal M. Patel

机构 * Johns Hopkins University（约翰霍普金斯大学）； Adobe Research（Adobe研究）

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

Comments project page see https://kfmei.com/shadow-diffusion/

2410.11838 2025-04-30 cs.CV 80%

High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion

Junhwa Hur, Charles Herrmann, Saurabh Saxena, Janne Kontkanen, Wei-Sheng Lai, Yichang Shih, Michael Rubinstein, David J. Fleet, Deqing Sun

机构 * University of Toronto（多伦多大学）； Vector Institute（向量研究所）

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

Comments Project page: https://hifi-diffusion.github.io

2503.20595 2025-03-27 cs.LG cs.CV stat.ML 80%

Diffusion Counterfactuals for Image Regressors

Trung Duc Ha, Sidney Bender

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

Comments 24 Pages, 5 Figures, Accepted at 3rd World Conference on eXplainable Artificial Intelligence (xAI-2025), Code and reproduction instructions available on GitHub, see https://github.com/DevinTDHa/Diffusion-Counterfactuals-for-Image-Regressors

2503.09124 2025-03-13 cs.LG cs.CV 80%

AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks

Jin Li, Ziqiang He, Anwei Luo, Jian-Fang Hu, Z. Jane Wang, Xiangui Kang

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

Comments Accept by NeurIPS 2024. Please cite this paper using the following format: J. Li, Z. He, A. Luo, J. Hu, Z. Wang, X. Kang*, "AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks", the 38th Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec 9-15, 2024. Code: https://github.com/XianguiKang/AdvAD

Journal ref Advances in Neural Information Processing Systems, vol. 37, pp. 52323--52353, 2024

2402.02316 2025-02-25 cs.LG cs.CV 80%

Your Diffusion Model is Secretly a Certifiably Robust Classifier

Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu

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

Comments Accepted by NeurIPS 2024. Also named as "Diffusion Models are Certifiably Robust Classifiers"

2502.12146 2025-02-18 cs.CV 80%

Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening

Ye Tian, Ling Yang, Xinchen Zhang, Yunhai Tong, Mengdi Wang, Bin Cui

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

Comments Code: https://github.com/Gen-Verse/Diffusion-Sharpening

2407.00783 2025-01-19 cs.CV cs.AI 80%

Diffusion Models and Representation Learning: A Survey

Michael Fuest, Pingchuan Ma, Ming Gui, Johannes Schusterbauer, Vincent Tao Hu, Bjorn Ommer

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

Comments Github Repo: https://github.com/dongzhuoyao/Diffusion-Representation-Learning-Survey-Taxonomy

2410.18137 2025-01-07 cs.CV cs.LG 80%

Advancing Super-Resolution in Neural Radiance Fields via Variational Diffusion Strategies

Shrey Vishen, Jatin Sarabu, Saurav Kumar, Chinmay Bharathulwar, Rithwick Lakshmanan, Vishnu Srinivas

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

Comments All our code is available at https://github.com/shreyvish5678/Advancing-Super-Resolution-in-Neural-Radiance-Fields-via-Variational-Diffusion-Strategies

2402.13144 2025-01-03 cs.LG cs.CV 80%

Neural Network Diffusion

Kai Wang, Dongwen Tang, Boya Zeng, Yida Yin, Zhaopan Xu, Yukun Zhou, Zelin Zang, Trevor Darrell, Zhuang Liu, Yang You

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

Comments We introduce a novel approach for parameter generation, named neural network parameter diffusion (\textbf{p-diff}), which employs a standard latent diffusion model to synthesize a new set of parameters

2406.04295 2024-12-17 cs.CV 80%

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment

Jiayi Guo, Junhao Zhao, Chaoqun Du, Yulin Wang, Chunjiang Ge, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang

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

Comments GitHub: https://github.com/SHI-Labs/Diffusion-Driven-Test-Time-Adaptation-via-Synthetic-Domain-Alignment

2412.10294 2024-12-16 cs.CV 80%

Coherent 3D Scene Diffusion From a Single RGB Image

Manuel Dahnert, Angela Dai, Norman Müller, Matthias Nießner

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

Comments Project Page: https://www.manuel-dahnert.com/research/scene-diffusion - Accepted at NeurIPS 2024

2407.01392 2024-12-11 cs.LG cs.CV cs.RO 80%

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Boyuan Chen, Diego Marti Monso, Yilun Du, Max Simchowitz, Russ Tedrake, Vincent Sitzmann

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

Comments Project website: https://boyuan.space/diffusion-forcing

2412.05355 2024-12-10 cs.CV cs.AI 80%

MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance

Hidir Yesiltepe, Tuna Han Salih Meral, Connor Dunlop, Pinar Yanardag

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

Comments Project page: https://motionshop-diffusion.github.io

2412.05275 2024-12-09 cs.CV cs.AI 80%

MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models

Tuna Han Salih Meral, Hidir Yesiltepe, Connor Dunlop, Pinar Yanardag

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

Comments Project Page: https://motionflow-diffusion.github.io

2404.11243 2024-12-05 cs.CV cs.AI 80%

Multi-Sensor Diffusion-Driven Optical Image Translation for Large-Scale Applications

João Gabriel Vinholi, Marco Chini, Anis Amziane, Renato Machado, Danilo Silva, Patrick Matgen

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

Comments This is the accepted version of the manuscript published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS). Please access the final version at IEEEXplore (Open Access). DOI 10.1109/JSTARS.2024.3506032. This technology is protected by a patent filed on 23 december 2023 at Office Luxembourgeois de la propriété intellectuelle (LU505861)

Journal ref "Multi-Sensor Diffusion-Driven Optical Image Translation for Large-Scale Applications," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024

2401.05779 2024-11-21 cs.CV 80%

Erasing Undesirable Influence in Diffusion Models

Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi

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

Comments Diffusion Model, Machine Unlearning

2405.03150 2024-11-19 cs.CV cs.LG 80%

Video Diffusion Models: A Survey

Andrew Melnik, Michal Ljubljanac, Cong Lu, Qi Yan, Weiming Ren, Helge Ritter

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

Comments https://github.com/ndrwmlnk/Awesome-Video-Diffusion-Models

2405.11473 2024-11-05 cs.CV cs.AI 80%

FIFO-Diffusion: Generating Infinite Videos from Text without Training

Jihwan Kim, Junoh Kang, Jinyoung Choi, Bohyung Han

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

Comments Project Page: https://jjihwan.github.io/projects/FIFO-Diffusion

Journal ref NeurIPS 2024

2403.03954 2024-09-30 cs.RO cs.CV cs.LG 80%

3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Yanjie Ze, Gu Zhang, Kangning Zhang, Chenyuan Hu, Muhan Wang, Huazhe Xu

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

Comments Published at Robotics: Science and Systems (RSS) 2024. Videos, code, and data: https://3d-diffusion-policy.github.io

2403.10542 2024-09-27 cs.AR cs.CV 80%

SF-MMCN: Low-Power Sever Flow Multi-Mode Diffusion Model Accelerator

Huan-Ke Hsu, I-Chyn Wey, T. Hui Teo

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

Comments 16 pages, 16 figures; extend the CNN to process Diffusion Model (possible this is the first reported hardware Diffusion Model implementation)

2409.07186 2024-09-17 cs.CV cs.AI 80%

Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging

Sheng Chen, Zihao Tang, Mariano Cabezas, Xinyi Wang, Arkiev D'Souza, Michael Barnett, Fernando Calamante, Weidong Cai, Chenyu Wang

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

Comments Accepted to ICONIP2024, Diffusion Weighted Imaging, Diffusion Tensor Imaging, Angular Resolution Enhancement, Fractional Anisotropy

2408.10236 2024-08-21 eess.IV cs.CV 80%

AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-preserving Model-based Deep Learning

Wenxin Fan, Jian Cheng, Cheng Li, Jing Yang, Ruoyou Wu, Juan Zou, Shanshan Wang

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

Comments 12 pages, 3 figures, MICCAI 2024 Workshop on Computational Diffusion MRI. arXiv admin note: text overlap with arXiv:2401.01693, arXiv:2405.03159

2312.14134 2024-08-12 cs.LG cs.CV cs.RO 80%

Diffusion Reward: Learning Rewards via Conditional Video Diffusion

Tao Huang, Guangqi Jiang, Yanjie Ze, Huazhe Xu

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

Comments Accepted to ECCV 2024. Project page and code: https://diffusion-reward.github.io/

2408.02226 2024-08-08 cs.CV 80%

ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation

Jack Lu, Ryan Teehan, Mengye Ren

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

Comments Accepted to ECCV 2024. Project page: https://procreate-diffusion.github.io

2403.14837 2024-08-05 cs.CV 80%

Osmosis: RGBD Diffusion Prior for Underwater Image Restoration

Opher Bar Nathan, Deborah Levy, Tali Treibitz, Dan Rosenbaum

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

Comments ECCV 2024. Project page with results and code: https://osmosis-diffusion.github.io/

2312.14124 2024-08-01 cs.CV 80%

Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation

Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox

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

Comments CVPR 2024. Project page: https://neural-point-cloud-diffusion.github.io/

2311.12085 2024-07-19 cs.CV 80%

Pyramid Diffusion for Fine 3D Large Scene Generation

Yuheng Liu, Xinke Li, Xueting Li, Lu Qi, Chongshou Li, Ming-Hsuan Yang

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

Comments Accepted by ECCV 24. Project page: https://yuheng.ink/project-page/pyramid-discrete-diffusion

2407.12329 2024-07-18 cs.CV 80%

Label-Efficient 3D Brain Segmentation via Complementary 2D Diffusion Models with Orthogonal Views

Jihoon Cho, Suhyun Ahn, Beomju Kim, Hyungjoon Bae, Xiaofeng Liu, Fangxu Xing, Kyungeun Lee, Georges Elfakhri, Van Wedeen, Jonghye Woo, Jinah Park

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

Comments Extended version of "3D Segmentation of Subcortical Brain Structure with Few Labeled Data using 2D Diffusion Models" (ISMRM 2024 oral)

2406.18361 2024-07-10 cs.CV cs.AI eess.IV 80%

Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process

Tianyu Lin, Zhiguang Chen, Zhonghao Yan, Weijiang Yu, Fudan Zheng

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

Comments Accepted at MICCAI 2024. Code and citation info see https://github.com/lin-tianyu/Stable-Diffusion-Seg

2310.11868 2024-07-09 cs.CV 80%

To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now

Yimeng Zhang, Jinghan Jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu

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

Comments Accepted by ECCV'24. Codes are available at https://github.com/OPTML-Group/Diffusion-MU-Attack

1. 扩散模型 70082 篇

Latent Feature-Guided Diffusion Models for Shadow Removal

High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion

Diffusion Counterfactuals for Image Regressors

AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks

Your Diffusion Model is Secretly a Certifiably Robust Classifier

Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening

Diffusion Models and Representation Learning: A Survey

Advancing Super-Resolution in Neural Radiance Fields via Variational Diffusion Strategies

Neural Network Diffusion

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment

Coherent 3D Scene Diffusion From a Single RGB Image

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance

MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models

Multi-Sensor Diffusion-Driven Optical Image Translation for Large-Scale Applications

Erasing Undesirable Influence in Diffusion Models

Video Diffusion Models: A Survey

FIFO-Diffusion: Generating Infinite Videos from Text without Training

3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

SF-MMCN: Low-Power Sever Flow Multi-Mode Diffusion Model Accelerator

Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging

AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-preserving Model-based Deep Learning

Diffusion Reward: Learning Rewards via Conditional Video Diffusion

ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation

Osmosis: RGBD Diffusion Prior for Underwater Image Restoration

Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation

Pyramid Diffusion for Fine 3D Large Scene Generation

Label-Efficient 3D Brain Segmentation via Complementary 2D Diffusion Models with Orthogonal Views

Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process

To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now