Vision-CAIR/3DCoMPaT
Official repository for the 3DCoMPaT dataset (ECCV2022 Oral)
This project provides a comprehensive dataset and benchmarks for researchers and engineers working with 3D models. It helps understand how different materials are applied to specific parts of 3D objects. By providing detailed 3D models with material compositions, it enables the development and evaluation of algorithms for tasks like 3D shape classification, material segmentation, and sim-to-real transfer. Digital content creators, robotics engineers, and computer vision scientists would find this useful.
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Use this if you are developing or evaluating AI models that need to understand or generate 3D objects with realistic material properties and part-level details.
Not ideal if you are looking for a maintained or up-to-date dataset, as this repository has been deprecated in favor of a newer version.
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Apr 19, 2023
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