Abstract: 3D single object tracking plays a crucial role in numerous applications such as autonomous driving. Recent trackers based on motion-centric paradigm perform well as they exploit motion cues ...
One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency（CVPR highlight 2025）
This project offers the Canonical Objaverse Dataset, created using the methods outlined in the paper "One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency." Additionally, ...
Abstract: Single-view 3D object reconstruction (SVOR) aims to recover the 3D shape of an object from a single 2D image. Despite advances in deep learning (DL), challenges such as incomplete image ...
For reference, we used cuda/10.1 and cudnn/v7.6.5.32 for our experiments. We expect that slight variations in versions are also compatible. See DATA.md for instructions on how to download and set up ...
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