Abstract: Dynamic 3D point cloud sequences serve as one of the most common and practical representation modalities of dynamic real-world environments. However, their unstructured nature in both ...
GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding
Abstract: Open-Vocabulary 3D object affordance grounding aims to anticipate "action possibilities" regions on 3D objects with arbitrary instructions, which is crucial for robots to generically ...
This repository contains the code of the paper "Reducing the Memory Footprint of 3D Gaussian Splatting", which can be found here. We also provide the configurations to train the models mentioned in ...
This is the official implementation of the paper "Volumetrically Consistent 3D Gaussian Rasterization" Abstract: Recently, 3D Gaussian Splatting (3DGS) has enabled photorealistic view synthesis at ...
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