In cooperative, connected, and automated mobility (CCAM), the more automated vehicles
can perceive, model, and analyze the surrounding environment, the more they become …

Grid-centric perception is a crucial field for mobile robot perception and navigation.
Nonetheless, grid-centric perception is less prevalent than object-centric perception as …

This paper presents a method to optimize Gaussian splatting with a limited number of
images while avoiding overfitting. Representing a 3D scene by combining numerous …

Volumetric scene representations enable photorealistic view synthesis for static scenes and
form the basis of several existing 6-DoF video techniques. However, the volume rendering …

Generative AI has made significant progress in recent years, with text-guided content
generation being the most practical as it facilitates interaction between human instructions …

This paper presents a critical analysis of image-based 3D reconstruction using neural
radiance fields (NeRFs), with a focus on quantitative comparisons with respect to traditional …

Achieving high synchronization in the synthesis of realistic speech-driven talking head
videos presents a significant challenge. Traditional Generative Adversarial Networks (GAN) …

Deepfake is a technology dedicated to creating highly realistic facial images and videos
under specific conditions, which has significant application potential in fields such as …

This paper proposes NeuralEditor that enables neural radiance fields (NeRFs) natively
editable for general shape editing tasks. Despite their impressive results on novel-view …

In this paper, we aim to learn a semantic radiance field from multiple scenes that is accurate,
efficient and generalizable. While most existing NeRFs target at the tasks of neural scene …