视觉与机器人

图像生成

图像生成、文生图、图像编辑、扩散模型和可控生成。

2025-09-16 至 2025-09-16 共收录 4 篇信号源：cs.CV, cs.GR, cs.MM

1. 效率与蒸馏 4 篇

2310.06389 2025-09-16 cs.CV cs.LG stat.ML 83%

Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling

Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou

机构 * The University of Texas at Austin（德克萨斯大学奥斯汀分校）； ByteDance Inc.（字节跳动公司）； Microsoft Azure AI（微软Azure人工智能）

专题命中效率与蒸馏：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

2509.11047 2025-09-16 cs.LG cs.CV 79%

Data-Efficient Ensemble Weather Forecasting with Diffusion Models

Kevin Valencia, Ziyang Liu, Justin Cui

机构 * University of California, Los Angeles（加州大学洛杉矶分校）

专题命中效率与蒸馏：diffusion(title,abstract)；分类 cs.CV

2509.11284 2025-09-16 cs.LG physics.comp-ph 50%

PINGS: Physics-Informed Neural Network for Fast Generative Sampling

Achmad Ardani Prasha, Clavino Ourizqi Rachmadi, Muhamad Fauzan Ibnu Syahlan, Naufal Rahfi Anugerah, Nanda Garin Raditya, Putri Amelia, Sabrina Laila Mutiara, Hilman Syachr Ramadhan

机构 * Faculty of Computer Science, Universitas Mercu Buana（计算机科学学院，默克鲁巴纳大学）； Alumni, Universitas Mercu Buana（默克鲁巴纳大学校友）

专题命中效率与蒸馏：diffusion(abstract)

Comments 19 pages, 4 figures

2505.20514 2025-09-16 hep-th math-ph math.MP 50%

Spontaneous quantization of the Yang--Mills gradient flow

Alexander Migdal

专题命中效率与蒸馏：diffusion(abstract)

Comments 26 pages, 5 figures, This is the final revision submitted to NPB, with added discussion of previous analysis of minimal surfaces as solution of the loop equation