activity
20232026
most cited3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting

60 citations · 89 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2026

Mira-Scene: Pixel-Aligned Layouts for Generative 3D Scene Reconstruction

Yang-Tian Sun, Tianjia Liu, Zehuan Huang +7

Single-image 3D object generation can now produce high-fidelity assets, yet accurately placing them into a coherent scene layout remains an open challenge. A central difficulty lie…

cs.CV2026

Monocular Depth Estimation from a Single Image: Progress and Opportunities

Muxin Liu, Xiaoyang Lyu, Yang-Tian Sun +4

Monocular depth estimation has long stood as a fundamental challenge in computer vision, enabling a wide range of applications including 3D reconstruction, robotics, autonomous dri…

cs.GR2026

AniGen: Unified Fields for Animatable 3D Asset Generation

Yi-Hua Huang, Zi-Xin Zou, Yuting He +6

Animatable 3D assets, defined as geometry equipped with an articulated skeleton and skinning weights, are fundamental to interactive graphics, embodied agents, and animation produc…

cs.CV2025

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation

Yang-Tian Sun, Xin Yu, Zehuan Huang +5

Recently, methods leveraging diffusion model priors to assist monocular geometric estimation (e.g., depth and normal) have gained significant attention due to their strong generali…

cs.CV2024

Deformable Radial Kernel Splatting

Yi-Hua Huang, Ming-Xian Lin, Yang-Tian Sun +4

Recently, Gaussian splatting has emerged as a robust technique for representing 3D scenes, enabling real-time rasterization and high-fidelity rendering. However, Gaussians' inheren…

cs.CV2024

Towards Realistic Example-based Modeling via 3D Gaussian Stitching

Xinyu Gao, Ziyi Yang, Bingchen Gong +3

Using parts of existing models to rebuild new models, commonly termed as example-based modeling, is a classical methodology in the realm of computer graphics. Previous works mostly…

cs.CV2024★ 60 cited

3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting

Xiaoyang Lyu, Yang-Tian Sun, Yi-Hua Huang +5

In this paper, we present an implicit surface reconstruction method with 3D Gaussian Splatting (3DGS), namely 3DGSR, that allows for accurate 3D reconstruction with intricate detai…

cs.CV2024★ 8 cited

Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting

Ziyi Yang, Xinyu Gao, Yangtian Sun +6

The recent advancements in 3D Gaussian splatting (3D-GS) have not only facilitated real-time rendering through modern GPU rasterization pipelines but have also attained state-of-th…

cs.CV2023★ 4 cited

SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes

Yi-Hua Huang, Yang-Tian Sun, Ziyi Yang +3

Novel view synthesis for dynamic scenes is still a challenging problem in computer vision and graphics. Recently, Gaussian splatting has emerged as a robust technique to represent…

cs.CV2023★ 3 cited

SIRe-IR: Inverse Rendering for BRDF Reconstruction with Shadow and Illumination Removal in High-Illuminance Scenes

Ziyi Yang, Yanzhen Chen, Xinyu Gao +4

Implicit neural representation has opened up new possibilities for inverse rendering. However, existing implicit neural inverse rendering methods struggle to handle strongly illumi…

cs.CV2023★ 14 cited

Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction

Ziyi Yang, Xinyu Gao, Wen Zhou +3

Implicit neural representation has paved the way for new approaches to dynamic scene reconstruction and rendering. Nonetheless, cutting-edge dynamic neural rendering methods rely h…

cs.CV2023

A General Implicit Framework for Fast NeRF Composition and Rendering

Xinyu Gao, Ziyi Yang, Yunlu Zhao +3

A variety of Neural Radiance Fields (NeRF) methods have recently achieved remarkable success in high render speed. However, current accelerating methods are specialized and incompa…