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In the field of video analysis, the persistence of objects is an important cue for humans to understand that objects still exist even when completely occluded. However, current object segmentation methods mainly focus on visible (modal) objects, lacking the capability to handle non-modal (visible + invisible) objects. To address this issue, researchers proposed a two-stage method based on diffusion priors, Diffusion-Vas, aimed at improving the effectiveness of non-modal segmentation and content completion in videos, enabling the tracking of specified targets within the video and using diffusion models to complete the occluded parts.

EndlessAI, a four-year-old AI startup, recently launched its iOS application Lloyd, which has attracted over 50,000 users just three months after its quiet release. What sets Lloyd apart is its proprietary video streaming and encoding technology, which combines users' real-time videos with AI models to support a variety of tasks, from bike repair to storytelling. Currently, 41% of users engage with the application daily. Although Lloyd has not yet reached the user levels of ChatGPT.