While humans can easily infer the shape of an object from 2D images, computers struggle to reconstruct accurate 3D models without knowledge of the camera poses. This problem, known as pose inference, is crucial for various applications, like creating 3D models for e-commerce and aiding autonomous vehicle navigation. Existing techniques relying on either gathering the…

VLMs are potent tools for grasping visual and textual data, promising advancements in tasks like image captioning and visual question answering. Limited data availability hampers their performance. Recent strides show that pre-training VLMs on larger image-text datasets improves downstream tasks. Yet, creating such datasets faces challenges: scarcity of paired data, high curation costs, low diversity,…