Abstract: Achieving visual localization with excellent interactive performance is challenging for mobile robots. Based on real-time photo-realistic view synthesis, 3D Gaussian splatting (3DGS) ...
SHeaP learns to predict head geometry (FLAME parameters) from a single image, by predicting and rendering 2D Gaussians. This repository contains code and models for the FLAME parameter inference only.
Abstract: This paper presents a novel hand reconstruction framework—3D Gaussian Splatting Hand Reconstruction (3D-GSHR), which integrates 3D Gaussian splatting with MANO model to achieve real-time, ...
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, ...
Reconstructing high-fidelity and animatable 3D human avatars from visual data is a core task for immersive applications such as virtual reality (VR) and digital content creation. While traditional ...
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