多模态大模型

Sketch-to-Layout: Sketch-Guided Multimodal Layout Generation

Riccardo Brioschi, Aleksandr Alekseev, Emanuele Nevali, Berkay Döner, Omar El Malki, Blagoj Mitrevski, Leandro Kieliger, Mark Collier, Andrii Maksai, Jesse Berent, Claudiu Musat, Efi Kokiopoulou

机构 * EPFL（苏黎世联邦理工学院） ； Google DeepMind（谷歌DeepMind） 纠错

专题命中 多模态生成 ：multimodal(title,abstract)；分类 cs.CV、cs.AI

Comments 15 pages, 18 figures, GitHub link: https://github.com/google-deepmind/sketch_to_layout, accept at ICCV 2025 Workshop (HiGen)

E-MMDiT: Revisiting Multimodal Diffusion Transformer Design for Fast Image Synthesis under Limited Resources

Tong Shen, Jingai Yu, Dong Zhou, Dong Li, Emad Barsoum

机构 * Advanced Micro Devices, Inc.（Advanced Micro Devices公司） 纠错

专题命中 多模态生成 ：multimodal(title,abstract)；分类 cs.CV

GeoFM: Enhancing Geometric Reasoning of MLLMs via Synthetic Data Generation through Formal Language

Yuhao Zhang, Dingxin Hu, Tinghao Yu, Hao Liu, Yiting Liu

机构 * Tencent Hunyuan Team（腾讯文言团队） 纠错

专题命中 多模态生成 ：multi-modal(abstract)；分类 cs.AI