auniquesun/pointer
Point TransformER - Paper Collection of Transformer based, Unsupervised and Self-supervised Point Cloud Understanding
This is a curated collection of academic papers focusing on advanced techniques for understanding 3D point cloud data. It brings together research on self-supervised and unsupervised learning, specifically using Transformer-based models. Researchers and engineers working with 3D scanning data or computer vision will find this useful for staying updated on the latest methods for tasks like object recognition or scene understanding.
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Use this if you are a researcher or practitioner in 3D computer vision looking for a summarized collection of papers on Transformer architectures and self-supervised methods for point cloud analysis.
Not ideal if you are looking for ready-to-use software, code implementations, or a beginner's introduction to 3D point cloud processing.
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Jun 22, 2022
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