图像生成 - arXivDaily 专题

2412.16748 2024-12-24 cs.LG 82%

Solving Inverse Problems via Diffusion Optimal Control

Henry Li, Marcus Pereira

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

Comments Presented at NeurIPS 2024

2412.13704 2024-12-19 hep-lat cond-mat.dis-nn 82%

Diffusion models and stochastic quantisation in lattice field theory

Gert Aarts, Lingxiao Wang, Kai Zhou

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

Comments 7 pages + references. Proceedings of the 41st International Symposium on Lattice Field Theory (Lattice 2024), July 28th - August 3rd, 2024, University of Liverpool, UK

2409.05668 2024-12-13 cs.LG 82%

Unlearning or Concealment? A Critical Analysis and Evaluation Metrics for Unlearning in Diffusion Models

Aakash Sen Sharma, Niladri Sarkar, Vikram Chundawat, Ankur A Mali, Murari Mandal

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

2412.02419 2024-12-04 cs.SD cs.CV cs.GR cs.MM eess.AS 82%

It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model

Mingyi Shi, Dafei Qin, Leo Ho, Zhouyingcheng Liao, Yinghao Huang, Junichi Yamagishi, Taku Komura

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

Comments 15 pages, 10 figures

2411.17236 2024-11-27 cs.LG cs.AI 82%

From Graph Diffusion to Graph Classification

Jia Jun Cheng Xian, Sadegh Mahdavi, Renjie Liao, Oliver Schulte

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

2405.14632 2024-11-19 cs.LG cs.AI 82%

DLPO: Diffusion Model Loss-Guided Reinforcement Learning for Fine-Tuning Text-to-Speech Diffusion Models

Jingyi Chen, Ju-Seung Byun, Micha Elsner, Andrew Perrault

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

2410.21497 2024-11-18 cs.RO 82%

Denoising Diffusion Planner: Learning Complex Paths from Low-Quality Demonstrations

Michiel Nikken, Nicolò Botteghi, Wesley Roozing, Federico Califano

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

2411.08378 2024-11-14 cs.LG cs.AI 82%

Physics Informed Distillation for Diffusion Models

Joshua Tian Jin Tee, Kang Zhang, Hee Suk Yoon, Dhananjaya Nagaraja Gowda, Chanwoo Kim, Chang D. Yoo

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

2309.05153 2024-11-12 stat.ML cs.LG 82%

Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood

Yaxuan Zhu, Jianwen Xie, Yingnian Wu, Ruiqi Gao

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

2312.00820 2024-11-05 cs.LG cs.AI 82%

Non-Cross Diffusion for Semantic Consistency

Ziyang Zheng, Ruiyuan Gao, Qiang Xu

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

2410.22971 2024-10-31 cs.CL 82%

Private Synthetic Text Generation with Diffusion Models

Sebastian Ochs, Ivan Habernal

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

2410.22380 2024-10-31 cs.LG cs.AI 82%

Discrete Modeling via Boundary Conditional Diffusion Processes

Yuxuan Gu, Xiaocheng Feng, Lei Huang, Yingsheng Wu, Zekun Zhou, Weihong Zhong, Kun Zhu, Bing Qin

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

Comments NeuraIPS 2024 poster

2408.08252 2024-10-28 cs.LG cs.AI q-bio.GN stat.ML 82%

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding

Xiner Li, Yulai Zhao, Chenyu Wang, Gabriele Scalia, Gokcen Eraslan, Surag Nair, Tommaso Biancalani, Shuiwang Ji, Aviv Regev, Sergey Levine, Masatoshi Uehara

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

Comments The code is available at https://github.com/masa-ue/SVDD

2407.11002 2024-10-25 cs.CL cs.AI cs.LG 82%

MoESD: Mixture of Experts Stable Diffusion to Mitigate Gender Bias

Guorun Wang, Lucia Specia

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

2410.14730 2024-10-22 cs.LG cs.AI stat.ML 82%

On the Relation Between Linear Diffusion and Power Iteration

Dana Weitzner, Mauricio Delbracio, Peyman Milanfar, Raja Giryes

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

2410.13925 2024-10-21 cs.LG 82%

FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model

ZiDong Wang, Zeyu Lu, Di Huang, Cai Zhou, Wanli Ouyang, and Lei Bai

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

Comments arXiv admin note: text overlap with arXiv:2402.12376

2312.04370 2024-10-10 eess.AS cs.LG cs.SD 82%

Investigating the Design Space of Diffusion Models for Speech Enhancement

Philippe Gonzalez, Zheng-Hua Tan, Jan Østergaard, Jesper Jensen, Tommy Sonne Alstrøm, Tobias May

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

Comments Accepted version

2410.05027 2024-10-08 eess.IV 82%

Bi-Directional MS Lesion Filling and Synthesis Using Denoising Diffusion Implicit Model-based Lesion Repainting

Jinwei Zhang, Lianrui Zuo, Yihao Liu, Samuel Remedios, Bennett A. Landman, Jerry L. Prince, Aaron Carass

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

2410.04214 2024-10-08 cs.HC 82%

Boosting Visual Fidelity in Driving Simulations through Diffusion Models

Fanjun Bu, Hiroshi Yasuda

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

2403.07721 2024-10-07 cs.HC eess.SP q-bio.NC 82%

Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion

Dongyang Li, Chen Wei, Shiying Li, Jiachen Zou, Haoyang Qin, Quanying Liu

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

2406.00093 2024-10-04 cs.CV cs.AI cs.GR cs.LG cs.MM 82%

Bootstrap3D: Improving Multi-view Diffusion Model with Synthetic Data

Zeyi Sun, Tong Wu, Pan Zhang, Yuhang Zang, Xiaoyi Dong, Yuanjun Xiong, Dahua Lin, Jiaqi Wang

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

Comments Project Page: https://sunzey.github.io/Bootstrap3D/

2405.14021 2024-10-04 cs.LG 82%

A Study of Posterior Stability for Time-Series Latent Diffusion

Yangming Li, Yixin Cheng, Mihaela van der Schaar

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

Comments Paper under review

2409.19133 2024-10-01 cond-mat.mtrl-sci physics.data-an 82%

Stable diffusion for the inverse design of microstructures

Yixuan Zhang, Teng Long, Hongbin Zhang

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

Comments 41 pages, 9 figures, 3 tables

2409.06364 2024-09-27 cs.LG 82%

What happens to diffusion model likelihood when your model is conditional?

Mattias Cross, Anton Ragni

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

2409.16661 2024-09-26 eess.IV 82%

Morphological-consistent Diffusion Network for Ultrasound Coronal Image Enhancement

Yihao Zhou, Zixun Huang, Timothy Tin-Yan Lee, Chonglin Wu, Kelly Ka-Lee Lai, De Yang, Alec Lik-hang Hung, Jack Chun-Yiu Cheng, Tsz-Ping Lam, Yong-ping Zheng

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

2210.13695 2024-09-25 q-bio.BM cs.LG 82%

Structure-based Drug Design with Equivariant Diffusion Models

Arne Schneuing, Charles Harris, Yuanqi Du, Kieran Didi, Arian Jamasb, Ilia Igashov, Weitao Du, Carla Gomes, Tom Blundell, Pietro Lio, Max Welling, Michael Bronstein, Bruno Correia

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

2409.14689 2024-09-24 cs.IR cs.LG 82%

EDGE-Rec: Efficient and Data-Guided Edge Diffusion For Recommender Systems Graphs

Utkarsh Priyam, Hemit Shah, Edoardo Botta

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

Comments 6 pages, 13 figures

2409.08503 2024-09-16 cs.LG cs.CR 82%

Enhancing Privacy in ControlNet and Stable Diffusion via Split Learning

Dixi Yao

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

2409.08400 2024-09-16 cs.LG cs.AI 82%

Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning

Hanyang Zhao, Haoxian Chen, Ji Zhang, David D. Yao, Wenpin Tang

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

2409.05294 2024-09-10 cs.CR cs.AI cs.LG 82%

TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors

Yichuan Mo, Hui Huang, Mingjie Li, Ang Li, Yisen Wang

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

Journal ref International Conference on Machine Learning 2024

1. 扩散模型 70082 篇

Solving Inverse Problems via Diffusion Optimal Control

Diffusion models and stochastic quantisation in lattice field theory

Unlearning or Concealment? A Critical Analysis and Evaluation Metrics for Unlearning in Diffusion Models

It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model

From Graph Diffusion to Graph Classification

DLPO: Diffusion Model Loss-Guided Reinforcement Learning for Fine-Tuning Text-to-Speech Diffusion Models

Denoising Diffusion Planner: Learning Complex Paths from Low-Quality Demonstrations

Physics Informed Distillation for Diffusion Models

Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood

Non-Cross Diffusion for Semantic Consistency

Private Synthetic Text Generation with Diffusion Models

Discrete Modeling via Boundary Conditional Diffusion Processes

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding

MoESD: Mixture of Experts Stable Diffusion to Mitigate Gender Bias

On the Relation Between Linear Diffusion and Power Iteration

FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model

Investigating the Design Space of Diffusion Models for Speech Enhancement

Bi-Directional MS Lesion Filling and Synthesis Using Denoising Diffusion Implicit Model-based Lesion Repainting

Boosting Visual Fidelity in Driving Simulations through Diffusion Models

Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion

Bootstrap3D: Improving Multi-view Diffusion Model with Synthetic Data

A Study of Posterior Stability for Time-Series Latent Diffusion

Stable diffusion for the inverse design of microstructures

What happens to diffusion model likelihood when your model is conditional?

Morphological-consistent Diffusion Network for Ultrasound Coronal Image Enhancement

Structure-based Drug Design with Equivariant Diffusion Models

EDGE-Rec: Efficient and Data-Guided Edge Diffusion For Recommender Systems Graphs

Enhancing Privacy in ControlNet and Stable Diffusion via Split Learning

Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning

TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors