Abstract: Computer vision advancements allow motion transfer for animating static objects in images. However, current methods rely on manually collected motion labels and struggle with accurate shape ...
Abstract: Diffusion models have achieved significant progress in the task of image animation due to their powerful generative capabilities. However, preserving appearance consistency to the static ...
CLIP (Contrastive Language-Image Pretraining) enables zero-shot image classification by associating images with text descriptions. Here's how it works: python zero ...
Abstract: The expensive fine-grained annotation and data scarcity have become the primary obstacles for the widespread adoption of deep learning-based Whole Slide Images (WSI) classification ...
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