BriefGPT.xyz
Jan, 2024
通过测地线提炼损失缓解CLIP引导的图像变形中的稳定性-可塑性困境
On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss
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Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon
TL;DR
通过使用适当的正则化损失,我们的方法取代了传统的方向指导CLIP损失,从而在图像和视频的多个基准测试中实现了优秀的变形效果。
Abstract
Large-scale language-vision pre-training models, such as
clip
, have achieved remarkable text-guided
image morphing
results by leveraging several unconditional
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