dragonlong/Trending-in-3D-Vision
An on-going paper list on new trends in 3D vision with deep learning
This is a curated, ongoing list of academic papers focusing on new trends and state-of-the-art methods in 3D computer vision, primarily using deep learning. It helps researchers and practitioners quickly grasp the current landscape and emerging techniques in areas like 3D reconstruction, SLAM, and scene understanding. The list takes various research papers as input and provides an organized overview of their methodologies and applications.
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Use this if you are a researcher or engineer in 3D vision, robotics, or computer graphics, looking to stay current with the latest advancements and foundational papers in areas like real-time mapping, human avatars, or dynamic scene capture.
Not ideal if you are looking for ready-to-use software, code implementations for specific tasks, or a beginner's guide to 3D vision concepts.
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Jun 17, 2022
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