Abstract: This paper focuses on developing a performance guaranteed state estimation algorithm for 2D pose graph problems for mobile robots. Different from probabilistic methods, the measurement ...
In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, a research team affiliated with UNIST reports a new AI technology that can animate 3D characters to mimic the exact movements shown in a ...
Abstract: Semantic labels are inherently tied to geometry and luminance reconstruction, as entities with similar shapes and appearances often share categories. Traditional methods use ...
This is the official implementation of our paper GaussianImage, a groundbreaking paradigm of image representation and compression by 2D Gaussian Splatting. With compact 2D Gaussian representation and ...
While 3D content generation has advanced significantly, existing methods still face challenges with input formats, latent space design, and output representations. This paper introduces a novel 3D ...
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