3 papers
cs.MM2026
Accelerating Multi-Condition T2I Generation via Adaptive Condition Offloading and Pruning
Yuxin Kong, Peng Yang, Chongbin Yi +2
Text-to-image (T2I) generation using multiple conditions enables fine-grained user control on the generated image. Yet, incorporating multi-condition inputs incurs substantial comp…
cs.CV2026
Enhancing Text-to-Image Generation via End-Edge Collaborative Hybrid Super-Resolution
Chongbin Yi, Yuxin Liang, Ziqi Zhou +1
Artificial Intelligence-Generated Content (AIGC) has made significant strides, with high-resolution text-to-image (T2I) generation becoming increasingly critical for improving user…
cs.CV2025
Split Matching for Inductive Zero-shot Semantic Segmentation
Jialei Chen, Xu Zheng, Dongyue Li +6
Zero-shot Semantic Segmentation (ZSS) aims to segment categories that are not annotated during training. While fine-tuning vision-language models has achieved promising results, th…