图像生成

A Two-Stage System for Layout-Controlled Image Generation using Large Language Models and Diffusion Models

Jan-Hendrik Koch, Jonas Krumme, Konrad Gadzicki

机构 * Cognitive Neuroinformatics University of Bremen（认知神经信息学不莱梅大学） 纠错

专题命中 可控生成 ：diffusion(title,abstract)；image generation(title)；text-to-image(abstract)；image synthesis(abstract)

Comments 12 pages, 5 figures

Laytrol: Preserving Pretrained Knowledge in Layout Control for Multimodal Diffusion Transformers

Sida Huang, Siqi Huang, Ping Luo, Hongyuan Zhang

专题命中 可控生成 ：diffusion(title,abstract)；image generation(abstract)；text-to-image(abstract)；分类 cs.CV

Comments Accepted by AAAI 2026

CSF-Net: Context-Semantic Fusion Network for Large Mask Inpainting

Chae-Yeon Heo, Yeong-Jun Cho

机构 * Department of Artificial Intelligence Convergence（人工智能融合系） 纠错

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

Comments 8 pages, 5 figures, Accepted to WACV 2026 (to appear)

T-GVC: Trajectory-Guided Generative Video Coding at Ultra-Low Bitrates

Zhitao Wang, Hengyu Man, Wenrui Li, Xingtao Wang, Xiaopeng Fan, Debin Zhao

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

WEDepth: Efficient Adaptation of World Knowledge for Monocular Depth Estimation

Gongshu Wang, Zhirui Wang, Kan Yang

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

CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis

Alec Sargood, Lemuel Puglisi, James H. Cole, Neil P. Oxtoby, Daniele Ravì, Daniel C. Alexander

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

Comments Article accepted at AAAI-2026

Towards Synthesizing High-Dimensional Tabular Data with Limited Samples

Zuqing Li, Junhao Gan, Jianzhong Qi

专题命中 可控生成 ：diffusion(abstract)