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。

2025-11-13 至 2025-11-13 共收录 4 篇信号源：cs.CV, cs.GR, cs.MM

1. 可控生成 4 篇

2411.10180 2025-11-13 cs.CV cs.LG 79%

CART: Compositional Auto-Regressive Transformer for Image Generation

Siddharth Roheda, Rohit Chowdhury, Aniruddha Bala, Rohan Jaiswal

专题命中可控生成：image generation(title,abstract)；分类 cs.CV

Comments figures compressed to meet arxiv size limit

2511.09558 2025-11-13 cs.RO cs.AI cs.CV cs.GR cs.LG 62%

IFG: Internet-Scale Guidance for Functional Grasping Generation

Ray Muxin Liu, Mingxuan Li, Kenneth Shaw, Deepak Pathak

专题命中可控生成：diffusion(abstract)；分类 cs.CV、cs.GR

Comments Website at https://ifgrasping.github.io/

2509.01457 2025-11-13 math.OC 50%

Predictive Control Strategies for Sustaining Innovation Adoption on Multilayer Social Networks

Martina Alutto, Qiulin Xu, Fabrizio Dabbene, Hideaki Ishii, Chiara Ravazzi

专题命中可控生成：diffusion(abstract)

Comments 28 pages, 4 figures

2508.08511 2025-11-13 math.OC cs.SY eess.SY math-ph math.MP math.PR 50%

Control-affine Schrödinger Bridge and Generalized Bohm Potential

Alexis M. H. Teter, Abhishek Halder, Michael D. Schneider, Alexx S. Perloff, Jane Pratt, Conor M. Artman, Maria Demireva

专题命中可控生成：diffusion(abstract)

Comments This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. Partial funding for this work was provided by LLNL Laboratory Directed Research and Development grant GS 25-ERD-044. Document release number: LLNL-JRNL-2008865