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Learning 3D Scene Analogies with Neural Contextual Scene Maps
Understanding scene contexts is crucial for machines to perform tasks and adapt prior knowledge in unseen or noisy 3D environments.
I$^2$-SLAM: Inverting Imaging Process for Robust Photorealistic Dense SLAM
We present an inverse image-formation module that can enhance the robustness of existing visual SLAM pipelines for casually captured scenarios.
SLiDE: Self-supervised LiDAR De-snowing through Reconstruction Difficulty
LiDAR is widely used to capture accurate 3D outdoor scene structures.
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