图像生成 - arXivDaily 专题

2506.12035 2025-06-17 cs.LG cs.AI 78%

MARché: Fast Masked Autoregressive Image Generation with Cache-Aware Attention

Chaoyi Jiang, Sungwoo Kim, Lei Gao, Hossein Entezari Zarch, Won Woo Ro, Murali Annavaram

机构 * University of Southern California（南加州大学）； Yonsei University（延世大学）

专题命中效率与蒸馏：image generation(title,abstract)

2506.09376 2025-06-12 cs.LG 78%

Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation

Bowen Zheng, Tianming Yang

机构 * Institute of Neuroscience（神经科学研究所）； Key Laboratory of Brain Cognition（脑认知重点实验室）； Brain-inspired Intelligence Technology（脑启发智能技术）； Center for Excellence in Brain Science（脑科学卓越中心）； Intelligence Technology（智能技术）； Chinese Academy of Sciences（中国科学院）； Shanghai, China（上海中国）

专题命中效率与蒸馏：diffusion(title,abstract)

Comments ICML 2025

2506.05960 2025-06-10 cs.LG 78%

AQUATIC-Diff: Additive Quantization for Truly Tiny Compressed Diffusion Models

Adil Hasan, Thomas Peyrin

机构 * Nanyang Technological University（南洋理工大学）

专题命中效率与蒸馏：diffusion(title,abstract)

2506.00290 2025-06-03 cs.CL cs.LG stat.ML 78%

DLM-One: Diffusion Language Models for One-Step Sequence Generation

Tianqi Chen, Shujian Zhang, Mingyuan Zhou

机构 * The University of Texas at Austin（德克萨斯大学奥斯汀分校）

专题命中效率与蒸馏：diffusion(title,abstract)

2505.24857 2025-06-02 cs.LG 78%

Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking

Heli Ben-Hamu, Itai Gat, Daniel Severo, Niklas Nolte, Brian Karrer

机构 * FAIR at Meta（Meta 的 FAIR）

专题命中效率与蒸馏：diffusion(title,abstract)

2504.11713 2025-05-29 cs.LG cs.AI 78%

Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Aaron Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Brandon Wood, Daniel Levine, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen

机构 * FAIR at Meta（Meta 的 FAIR 部门）； University of Illinois（伊利诺伊大学）； New York University（纽约大学）； Microsoft Research New England（微软研究院新英格兰分部）

专题命中效率与蒸馏：diffusion(title,abstract)

2408.04461 2025-05-28 cs.LG cs.SI 78%

Random Walk Diffusion for Efficient Large-Scale Graph Generation

Tobias Bernecker, Ghalia Rehawi, Francesco Paolo Casale, Janine Knauer-Arloth, Annalisa Marsico

机构 * Computational Health Center, Helmholtz Munich School of Computation, Information and Technology, Technical University of Munich（赫尔姆霍茨慕尼黑计算健康中心，赫尔姆霍茨慕尼黑计算、信息与技术学院，慕尼黑技术大学）； Helmholtz Munich Max Planck Institute of Psychiatry（赫尔姆霍茨慕尼黑马克斯·普朗克精神医学研究所）； Munich School of Life Sciences, Technical University of Munich（慕尼黑生命科学学院，慕尼黑技术大学）； Helmholtz Pioneer Campus, Helmholtz Munich School of Computation, Information and Technology, Technical University of Munich（赫尔姆霍茨先锋校区，赫尔姆霍茨慕尼黑计算、信息与技术学院，慕尼黑技术大学）； Max Planck Institute of Psychiatry（马克斯·普朗克精神医学研究所）

专题命中效率与蒸馏：diffusion(title,abstract)

Comments Published as a paper at Transactions on Machine Learning Research (TMLR) in March 2025

2505.17130 2025-05-26 physics.bio-ph cond-mat.stat-mech 78%

Acceleration of enzymatic reaction-diffusion kinetics by intermediate state

Akihiro Fukuda, Yohei Nakayama, Shoichi Toyabe

专题命中效率与蒸馏：diffusion(title,abstract)

Comments 9 pages, 9 figures

2502.05230 2025-05-26 q-bio.QM cs.AI 78%

DiffNMR2: NMR Guided Sampling Acquisition Through Diffusion Model Uncertainty

Etienne Goffinet, Sen Yan, Fabrizio Gabellieri, Laurence Jennings, Lydia Gkoura, Filippo Castiglione, Ryan Young, Idir Malki, Ankita Singh, Thomas Launey

专题命中效率与蒸馏：diffusion(title,abstract)

Comments 11 pages, 10 figures

2505.07825 2025-05-14 stat.ML cs.LG math.PR 78%

Diffusion-based supervised learning of generative models for efficient sampling of multimodal distributions

Hoang Tran, Zezhong Zhang, Feng Bao, Dan Lu, Guannan Zhang

专题命中效率与蒸馏：diffusion(title,abstract)

2504.09927 2025-04-15 cs.RO 78%

Efficient Task-specific Conditional Diffusion Policies: Shortcut Model Acceleration and SO(3) Optimization

Haiyong Yu, Yanqiong Jin, Yonghao He, Wei Sui

专题命中效率与蒸馏：diffusion(title,abstract)

Comments Accepted to CVPR 2025 Workshop on 2nd MEIS

2504.02011 2025-04-04 cs.LG cs.AI 78%

Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression

Dohyun Kim, Sehwan Park, Geonhee Han, Seung Wook Kim, Paul Hongsuck Seo

专题命中效率与蒸馏：diffusion(title,abstract)

Comments Accepted to CVPR 2025. 8 pages main paper + 4 pages references + 5 pages supplementary, 9 figures in total

2503.22392 2025-03-31 physics.med-ph eess.IV 78%

Volumetric Material Decomposition Using Spectral Diffusion Posterior Sampling with a Compressed Polychromatic Forward Model

Xiao Jiang, Grace J. Gang, J. Webster Stayman

专题命中效率与蒸馏：diffusion(title,abstract)

2503.10237 2025-03-14 math.OC 78%

Efficient Diffusion Posterior Sampling for Noisy Inverse Problems

Ji Li, Chao Wang

专题命中效率与蒸馏：diffusion(title,abstract)

2410.23285 2025-02-27 cs.LG cs.AI math.OC stat.ML 78%

Provable Acceleration for Diffusion Models under Minimal Assumptions

Gen Li, Changxiao Cai

专题命中效率与蒸馏：diffusion(title,abstract)

2501.10807 2025-01-22 eess.AS cs.SD 78%

FlashSR: One-step Versatile Audio Super-resolution via Diffusion Distillation

Jaekwon Im, Juhan Nam

专题命中效率与蒸馏：diffusion(title,abstract)

Comments 4 pages, 3 figures

2501.02943 2025-01-09 math.NA cs.NA 78%

Efficient Langevin sampling with position-dependent diffusion

Eugen Bronasco, Benedict Leimkuhler, Dominic Phillips, Gilles Vilmart

专题命中效率与蒸馏：diffusion(title,abstract)

Comments 31 pages

2312.09193 2024-12-09 cs.LG cs.AI stat.ML 78%

Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time

Zixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang, Quanquan Gu

专题命中效率与蒸馏：diffusion(title,abstract)

Comments 36 pages, 5 figures, 13 tables. In NeurIPS 2024

2401.05844 2024-11-26 physics.med-ph eess.IV 78%

Self-navigated 3D diffusion MRI using an optimized CAIPI sampling and structured low-rank reconstruction

Ziyu Li, Karla L. Miller, Xi Chen, Mark Chiew, Wenchuan Wu

专题命中效率与蒸馏：diffusion(title,abstract)

Comments 10 pages, 11 figures, 2 tables. This work has been submitted to the IEEE for possible publication

2410.21257 2024-10-29 cs.RO cs.LG 78%

One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation

Zhendong Wang, Zhaoshuo Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan, Yashraj Narang, Linxi Fan, Yuke Zhu, Yogesh Balaji, Mingyuan Zhou, Ming-Yu Liu, Yu Zeng

专题命中效率与蒸馏：diffusion(title,abstract)

2408.17333 2024-10-29 math.NA cs.NA math.AP 78%

Subspace Diffusion Posterior Sampling for Travel-Time Tomography

Xiang Cao, Xiaoqun Zhang

专题命中效率与蒸馏：diffusion(title,abstract)

Comments 20 pages, 8 figures, 2 tables

2410.18005 2024-10-24 math.NA cs.IT cs.NA math.IT 78%

Random space-time sampling and reconstruction of sparse bandlimited graph diffusion field

Longxiu Huang, Dongyang Li, Sui Tang, Qing Yao

专题命中效率与蒸馏：diffusion(title,abstract)

Comments 23 pages

2409.14479 2024-09-24 eess.IV 78%

Sampling-Pattern-Agnostic MRI Reconstruction through Adaptive Consistency Enforcement with Diffusion Model

Anurag Malyala, Zhenlin Zhang, Chengyan Wang, Chen Qin

专题命中效率与蒸馏：diffusion(title,abstract)

Comments MICCAI 2024 STACOM-CMRxRecon

2409.13894 2024-09-24 cs.SD cs.LG eess.AS 78%

PTQ4ADM: Post-Training Quantization for Efficient Text Conditional Audio Diffusion Models

Jayneel Vora, Aditya Krishnan, Nader Bouacida, Prabhu RV Shankar, Prasant Mohapatra

专题命中效率与蒸馏：diffusion(title,abstract)

2409.06162 2024-09-18 math.NA cs.NA math-ph math.MP 78%

A Second Moment Method for k-Eigenvalue Acceleration with Continuous Diffusion and Discontinuous Transport Discretizations

Zachary K. Hardy, Jim E. Morel, Jan I. C. Vermaak

专题命中效率与蒸馏：diffusion(title,abstract)

Comments 29 pages, 5 tables, 7 figures

2409.02245 2024-09-05 cs.SD cs.AI cs.LG eess.AS stat.ML 78%

FastVoiceGrad: One-step Diffusion-Based Voice Conversion with Adversarial Conditional Diffusion Distillation

Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Yuto Kondo

专题命中效率与蒸馏：diffusion(title,abstract)

Comments Accepted to Interspeech 2024. Project page: https://www.kecl.ntt.co.jp/people/kaneko.takuhiro/projects/fastvoicegrad/

2304.11449 2024-08-26 math.ST stat.TH 78%

Posterior Sampling in High Dimension via Diffusion Processes

Andrea Montanari, Yuchen Wu

专题命中效率与蒸馏：diffusion(title,abstract)

Comments 70 pages; 3 pdf figures

2408.12354 2024-08-23 eess.AS cs.SD 78%

LCM-SVC: Latent Diffusion Model Based Singing Voice Conversion with Inference Acceleration via Latent Consistency Distillation

Shihao Chen, Yu Gu, Jianwei Cui, Jie Zhang, Rilin Chen, Lirong Dai

专题命中效率与蒸馏：diffusion(title,abstract)

Comments Accepted to ISCSLP 2024. arXiv admin note: text overlap with arXiv:2406.05325

2406.15527 2024-06-25 cs.LG cs.CL 78%

Data Efficient Evaluation of Large Language Models and Text-to-Image Models via Adaptive Sampling

Cong Xu, Gayathri Saranathan, Mahammad Parwez Alam, Arpit Shah, James Lim, Soon Yee Wong, Foltin Martin, Suparna Bhattacharya

专题命中效率与蒸馏：text-to-image(title,abstract)

2403.10183 2024-06-25 physics.med-ph 78%

Spectral CT Two-step and One-step Material Decomposition using Diffusion Posterior Sampling

Corentin Vazia, Alexandre Bousse, Jacques Froment, Béatrice Vedel, Franck Vermet, Zhihan Wang, Thore Dassow, Jean-Pierre Tasu, Dimitris Visvikis

专题命中效率与蒸馏：diffusion(title,abstract)

Comments 5 pages, 3 figures, submitted to EUSIPCO 2024

1. 效率与蒸馏 2537 篇

MARché: Fast Masked Autoregressive Image Generation with Cache-Aware Attention

Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation

AQUATIC-Diff: Additive Quantization for Truly Tiny Compressed Diffusion Models

DLM-One: Diffusion Language Models for One-Step Sequence Generation

Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking

Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

Random Walk Diffusion for Efficient Large-Scale Graph Generation

Acceleration of enzymatic reaction-diffusion kinetics by intermediate state

DiffNMR2: NMR Guided Sampling Acquisition Through Diffusion Model Uncertainty

Diffusion-based supervised learning of generative models for efficient sampling of multimodal distributions

Efficient Task-specific Conditional Diffusion Policies: Shortcut Model Acceleration and SO(3) Optimization

Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression

Volumetric Material Decomposition Using Spectral Diffusion Posterior Sampling with a Compressed Polychromatic Forward Model

Efficient Diffusion Posterior Sampling for Noisy Inverse Problems

Provable Acceleration for Diffusion Models under Minimal Assumptions

FlashSR: One-step Versatile Audio Super-resolution via Diffusion Distillation

Efficient Langevin sampling with position-dependent diffusion

Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time

Self-navigated 3D diffusion MRI using an optimized CAIPI sampling and structured low-rank reconstruction

One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation

Subspace Diffusion Posterior Sampling for Travel-Time Tomography

Random space-time sampling and reconstruction of sparse bandlimited graph diffusion field

Sampling-Pattern-Agnostic MRI Reconstruction through Adaptive Consistency Enforcement with Diffusion Model

PTQ4ADM: Post-Training Quantization for Efficient Text Conditional Audio Diffusion Models

A Second Moment Method for k-Eigenvalue Acceleration with Continuous Diffusion and Discontinuous Transport Discretizations

FastVoiceGrad: One-step Diffusion-Based Voice Conversion with Adversarial Conditional Diffusion Distillation

Posterior Sampling in High Dimension via Diffusion Processes

LCM-SVC: Latent Diffusion Model Based Singing Voice Conversion with Inference Acceleration via Latent Consistency Distillation

Data Efficient Evaluation of Large Language Models and Text-to-Image Models via Adaptive Sampling

Spectral CT Two-step and One-step Material Decomposition using Diffusion Posterior Sampling