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cs.CV2024
SOEDiff: Efficient Distillation for Small Object Editing
Yiming Wu, Qihe Pan, Zhen Zhao +3
In this paper, we delve into a new task known as small object editing (SOE), which focuses on text-based image inpainting within a constrained, small-sized area. Despite the remark…
cs.CV2024
Towards Small Object Editing: A Benchmark Dataset and A Training-Free Approach
Qihe Pan, Zhen Zhao, Zicheng Wang +5
A plethora of text-guided image editing methods has recently been developed by leveraging the impressive capabilities of large-scale diffusion-based generative models especially St…
cs.CV2024
Training-Free Unsupervised Prompt for Vision-Language Models
Sifan Long, Linbin Wang, Zhen Zhao +4
Prompt learning has become the most effective paradigm for adapting large pre-trained vision-language models (VLMs) to downstream tasks. Recently, unsupervised prompt tuning method…