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20192026
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cs.CV2026

Gaussian Sculpting: End-to-End Controllable Surface Reconstruction via Field Optimization

Ke Jiaxin, Juncheng Liu, Yi Wang +4

3D Gaussian Splatting (3DGS) has recently enabled real-time novel view synthesis with impressive quality. However, it struggles to recover accurate surfaces under limited viewpoint…

cs.CV2026

Underwater360: Reconstructing Underwater Scenes from Panoramic Images with Omnidirectional Gaussian Splatting

Jiangbei Hu, Weichao Song, Shibo Yu +8

Underwater scene reconstruction is essential for immersive exploration of aquatic environments, yet remains challenging due to complex participating-media effects such as absorptio…

cs.CV2024

A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape Functions

Jiangbei Hu, Yanggeng Li, Fei Hou +5

Unsigned distance fields (UDFs) provide a versatile framework for representing a diverse array of 3D shapes, encompassing both watertight and non-watertight geometries. Traditional…

cs.CV20242 cited

Topology-Aware Latent Diffusion for 3D Shape Generation

Jiangbei Hu, Ben Fei, Baixin Xu +6

We introduce a new generative model that combines latent diffusion with persistent homology to create 3D shapes with high diversity, with a special emphasis on their topological ch…

cs.CV2019

Non-rigid 3D shape retrieval based on multi-view metric learning

Haohao Li, Shengfa Wang, Nannan Li +2

This study presents a novel multi-view metric learning algorithm, which aims to improve 3D non-rigid shape retrieval. With the development of non-rigid 3D shape analysis, there exi…