图像生成 - arXivDaily 专题

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

2406.19298 2024-06-28 cs.CV cs.LG 80%

Compositional Image Decomposition with Diffusion Models

Jocelin Su, Nan Liu, Yanbo Wang, Joshua B. Tenenbaum, Yilun Du

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

Comments ICML 2024, Webpage: https://energy-based-model.github.io/decomp-diffusion

2402.19455 2024-06-27 stat.ML astro-ph.CO cs.CV cs.LG eess.SP 80%

Listening to the Noise: Blind Denoising with Gibbs Diffusion

David Heurtel-Depeiges, Charles C. Margossian, Ruben Ohana, Bruno Régaldo-Saint Blancard

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

Comments 12+9 pages, 7+5 figures, 1+1 tables; accepted to 2024 International Conference on Machine Learning; code: https://github.com/rubenohana/Gibbs-Diffusion

2305.13128 2024-06-17 eess.IV cs.CV cs.LG 80%

GSURE-Based Diffusion Model Training with Corrupted Data

Bahjat Kawar, Noam Elata, Tomer Michaeli, Michael Elad

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

Comments Code: https://github.com/bahjat-kawar/gsure-diffusion

2402.17768 2024-06-06 cs.RO cs.AI cs.CV cs.LG 80%

Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning

Xiaoyu Zhang, Matthew Chang, Pranav Kumar, Saurabh Gupta

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

Comments Accepted by Robotics: Science and Systems (RSS) 2024. project website with video, see https://sites.google.com/view/diffusion-meets-dagger

2405.16947 2024-05-28 cs.CV 80%

Zero-Shot Video Semantic Segmentation based on Pre-Trained Diffusion Models

Qian Wang, Abdelrahman Eldesokey, Mohit Mendiratta, Fangneng Zhan, Adam Kortylewski, Christian Theobalt, Peter Wonka

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

Comments Project webpage: https://qianwangx.github.io/VidSeg_diffusion/

2212.00787 2024-05-24 cs.CV 80%

Multi-Class Segmentation from Aerial Views using Recursive Noise Diffusion

Benedikt Kolbeinsson, Krystian Mikolajczyk

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

Comments Accepted at WACV 2024. Code available at https://github.com/benediktkol/recursive-noise-diffusion

2309.17444 2024-05-07 cs.CV cs.AI cs.CL 80%

LLM-grounded Video Diffusion Models

Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li

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

Comments ICLR 2024. Project Page: https://llm-grounded-video-diffusion.github.io/

2311.18635 2024-04-18 cs.CV 80%

DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars

Tobias Kirschstein, Simon Giebenhain, Matthias Nießner

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

Comments Project Page: https://tobias-kirschstein.github.io/diffusion-avatars/ , Video: https://youtu.be/nSjDiiTnp2E

2301.04218 2024-04-11 cs.CV cs.CR cs.LG 80%

Leveraging Diffusion For Strong and High Quality Face Morphing Attacks

Zander W. Blasingame, Chen Liu

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

Comments Diffusion Morphs (DiM) paper. Accepted in IEEE TBIOM

Journal ref IEEE Transactions on Biometrics, Behavior, and Identity Science ( Volume: 6, Issue: 1, January 2024)

2404.01102 2024-04-11 eess.IV cs.CV cs.LG 80%

Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation

Zihao Wang, Yingyu Yang, Yuzhou Chen, Tingting Yuan, Maxime Sermesant, Herve Delingette, Ona Wu

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

Comments Neurips 2023 Diffusion Workshop

2210.14571 2024-01-23 cs.CV 80%

Towards the Detection of Diffusion Model Deepfakes

Jonas Ricker, Simon Damm, Thorsten Holz, Asja Fischer

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

Comments Accepted at VISAPP 2024. This is the extended version with additional experiments and supplemental material. Code and data: https://github.com/jonasricker/diffusion-model-deepfake-detection

2311.13629 2024-01-17 cs.CV eess.IV 80%

Diffusion models meet image counter-forensics

Matías Tailanian, Marina Gardella, Álvaro Pardo, Pablo Musé

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

Journal ref Tailanián, M., Gardella, M., Pardo, A., & Musé, P. (2024). Diffusion models meet image counter-forensics. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 3925-3935)

2307.01849 2024-01-12 cs.RO cs.CV cs.LG 80%

Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning

Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo

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

Comments 15 pages, 13 figures. Code, pretrained checkpoints, and datasets are available at https://github.com/LostXine/crossway_diffusion Video demo is at https://youtu.be/9deKHueZBuk

2306.00354 2024-01-02 cs.CV cs.AI cs.LG 80%

Addressing Negative Transfer in Diffusion Models

Hyojun Go, JinYoung Kim, Yunsung Lee, Seunghyun Lee, Shinhyeok Oh, Hyeongdon Moon, Seungtaek Choi

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

Comments Neurips 2023. Project page: https://gohyojun15.github.io/ANT_diffusion/

2312.06662 2023-12-12 cs.CV cs.AI cs.LG 80%

Photorealistic Video Generation with Diffusion Models

Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, José Lezama

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

Comments Project website https://walt-video-diffusion.github.io/

2312.02966 2023-12-06 cs.CV 80%

Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection

Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai

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

Comments Accepted in NeurIPS 2023. Code is available at https://github.com/luluho1208/Diffusion-SS3D

2311.17009 2023-12-05 cs.CV 80%

Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer

Danah Yatim, Rafail Fridman, Omer Bar-Tal, Yoni Kasten, Tali Dekel

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

Comments Project page: https://diffusion-motion-transfer.github.io/

2303.09051 2023-12-05 cs.CV cs.CR cs.LG 80%

Robust Evaluation of Diffusion-Based Adversarial Purification

Minjong Lee, Dongwoo Kim

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

Comments Accepted by ICCV 2023, oral presentation. Code is available at https://github.com/ml-postech/robust-evaluation-of-diffusion-based-purification

2311.16102 2023-12-01 cs.CV cs.AI cs.LG cs.RO 80%

Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback

Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki

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

Comments Accepted at NeurIPS 2023 Webpage with Code: https://diffusion-tta.github.io/

2311.16052 2023-11-28 cs.CV 80%

Exploring Attribute Variations in Style-based GANs using Diffusion Models

Rishubh Parihar, Prasanna Balaji, Raghav Magazine, Sarthak Vora, Tejan Karmali, Varun Jampani, R. Venkatesh Babu

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

Comments Neurips Workshop on Diffusion Models 2023

2310.02230 2023-11-21 cs.CV cs.AI 80%

Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks

Luca Scimeca, Alexander Rubinstein, Armand Mihai Nicolicioiu, Damien Teney, Yoshua Bengio

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

Comments Accepted at Neural Information Processing Systems(NeurIPS) 2023 - Workshop on Diffusion Models

2311.03226 2023-11-07 cs.CV cs.AI 80%

LDM3D-VR: Latent Diffusion Model for 3D VR

Gabriela Ben Melech Stan, Diana Wofk, Estelle Aflalo, Shao-Yen Tseng, Zhipeng Cai, Michael Paulitsch, Vasudev Lal

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

Comments Accepted to Workshop on Diffusion Models, NeurIPS 2023

2311.00938 2023-11-03 cs.LG cs.AI cs.CV 80%

Bridging the Gap: Addressing Discrepancies in Diffusion Model Training for Classifier-Free Guidance

Niket Patel, Luis Salamanca, Luis Barba

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

Comments Accepted at NeurIPS Diffusion Workshop 2023

2303.04291 2023-11-01 eess.IV cs.CV 80%

Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition

Cindy M. Nguyen, Eric R. Chan, Alexander W. Bergman, Gordon Wetzstein

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

Comments WACV 2024. Project website: https://ccnguyen.github.io/diffusion-in-the-dark/

2207.05876 2023-09-19 eess.IV cs.CV 80%

Adaptive Diffusion Priors for Accelerated MRI Reconstruction

Alper Güngör, Salman UH Dar, Şaban Öztürk, Yilmaz Korkmaz, Gokberk Elmas, Muzaffer Özbey, Tolga Çukur

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

Journal ref A. Güngör, S. U. Dar, S. Öztürk, Y. Korkmaz, G. Elmas, M. Özbey, and T. Çukur, "Adaptive diffusion priors for accelerated MRI reconstruction," Medical Image Analysis, vol. 88, p. 102872, 2023

1. 扩散模型 70277 篇

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

Compositional Image Decomposition with Diffusion Models

Listening to the Noise: Blind Denoising with Gibbs Diffusion

GSURE-Based Diffusion Model Training with Corrupted Data

Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning

Zero-Shot Video Semantic Segmentation based on Pre-Trained Diffusion Models

Multi-Class Segmentation from Aerial Views using Recursive Noise Diffusion

LLM-grounded Video Diffusion Models

DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars

Leveraging Diffusion For Strong and High Quality Face Morphing Attacks

Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation

Towards the Detection of Diffusion Model Deepfakes

Diffusion models meet image counter-forensics

Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning

Addressing Negative Transfer in Diffusion Models

Photorealistic Video Generation with Diffusion Models

Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection

Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer

Robust Evaluation of Diffusion-Based Adversarial Purification

Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback

Exploring Attribute Variations in Style-based GANs using Diffusion Models

Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks

LDM3D-VR: Latent Diffusion Model for 3D VR

Bridging the Gap: Addressing Discrepancies in Diffusion Model Training for Classifier-Free Guidance

Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition

Adaptive Diffusion Priors for Accelerated MRI Reconstruction