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cs.CV2025
E-MMDiT: Revisiting Multimodal Diffusion Transformer Design for Fast Image Synthesis under Limited Resources
Tong Shen, Jingai Yu, Dong Zhou +2
Diffusion models have shown strong capabilities in generating high-quality images from text prompts. However, these models often require large-scale training data and significant c…
cs.CV2025
ToLo: A Two-Stage, Training-Free Layout-To-Image Generation Framework For High-Overlap Layouts
Linhao Huang, Jing Yu
Recent training-free layout-to-image diffusion models have demonstrated remarkable performance in generating high-quality images with controllable layouts. These models follow a on…