3D 视觉

Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis

Yuanhao Cai, Yixun Liang, Jiahao Wang, Angtian Wang, Yulun Zhang, Xiaokang Yang, Zongwei Zhou, Alan Yuille

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；novel view synthesis(title,abstract)；NeRF(abstract)；point cloud(abstract)

Comments ECCV 2024; The first 3D Gaussian Splatting-based method for X-ray 3D reconstruction

Deceptive-NeRF/3DGS: Diffusion-Generated Pseudo-Observations for High-Quality Sparse-View Reconstruction

Xinhang Liu, Jiaben Chen, Shiu-hong Kao, Yu-Wing Tai, Chi-Keung Tang

专题命中 Gaussian Splatting ：NeRF(title,abstract)；3DGS(title,abstract)；Gaussian Splatting(abstract)；novel view synthesis(abstract)

Comments Paper accepted to ECCV 2024. Project page: https://xinhangliu.com/deceptive-nerf-3dgs

Optimizing 3D Gaussian Splatting via Point Cloud Upsampling

通过点云上采样优化3D高斯泼溅

Adrian Ramlal, Yan Song Hu, John S. Zelek

机构 * Vision and Image Processing Group, Systems Design Engineering, University of Waterloo（滑铁卢大学视觉与图像处理组，系统设计工程） 纠错

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；point cloud(title,abstract)；3DGS(abstract,abstract_cn)；分类 cs.CV、cs.GR

AI总结 提出多种点云上采样方法及深度引导点提升技术，改善3D高斯泼溅的初始化质量，实验表明不同场景适用不同策略。

Comments Accepted in Journal of Computational Vision and Imaging Systems (JCVIS)

Journal ref Journal of Computational Vision and Imaging Systems, Vol. 10, No. 1, p. 47, 2024

GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting

Junzhe Jiang, Chun Gu, Yurui Chen, Li Zhang

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；point cloud(title,abstract)；NeRF(abstract)；novel view synthesis(abstract)

3DGS$^2$: Near Second-order Converging 3D Gaussian Splatting

Lei Lan, Tianjia Shao, Zixuan Lu, Yu Zhang, Chenfanfu Jiang, Yin Yang

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；3DGS(title,abstract)；3D reconstruction(abstract)；novel view synthesis(abstract)

Comments 11 pages

Mirror-3DGS: Incorporating Mirror Reflections into 3D Gaussian Splatting

Jiarui Meng, Haijie Li, Yanmin Wu, Qiankun Gao, Shuzhou Yang, Jian Zhang, Siwei Ma

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；3DGS(title,abstract)；NeRF(abstract)；novel view synthesis(abstract)

Comments IEEE International Conference on Visual Communications and Image Processing (VCIP 2024, Oral)

Few-shot Novel View Synthesis using Depth Aware 3D Gaussian Splatting

Raja Kumar, Vanshika Vats

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；novel view synthesis(title,abstract)；3DGS(abstract)；point cloud(abstract)

Comments Presented in ECCV 2024 workshop S3DSGR

LITA-GS: Illumination-Agnostic Novel View Synthesis via Reference-Free 3D Gaussian Splatting and Physical Priors

Han Zhou, Wei Dong, Jun Chen

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；novel view synthesis(title,abstract)；3DGS(abstract,comments)；NeRF(abstract)

Comments Accepted by CVPR 2025. 3DGS, Adverse illumination conditions, Reference-free, Physical priors

HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting

Yuanhao Cai, Zihao Xiao, Yixun Liang, Minghan Qin, Yulun Zhang, Xiaokang Yang, Yaoyao Liu, Alan Yuille

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；novel view synthesis(title,abstract)；NeRF(abstract)；point cloud(abstract)

Comments NeurIPS 2024; The first 3D Gaussian Splatting-based method for HDR imaging

PD-GS: Phoneme-Driven 3DGS for Audio-Driven Talking Heads

PD-GS：音素驱动的3DGS用于音频驱动的说话头生成

Ao Fu, Yi Zhou

机构 * Southeast University（东南大学） ； School of Computer Science and Engineering（计算机科学与工程学院） 纠错

专题命中 Gaussian Splatting ：3DGS(title,title_cn)；Gaussian Splatting(abstract)

AI总结 针对3DGS说话头渲染的漏嘴伪影问题，提出PD-GS模型，通过LFM融合音频与音素信息，在HDTF数据集上实现最优嘴唇几何，提升神经化身的语言忠实度。

Comments Accepted to ACM MM 2026

Leveling3D: Leveling Up 3D Reconstruction with Feed-Forward 3D Gaussian Splatting and Geometry-Aware Generation

Leveling3D: 通过前馈3D高斯点划法与几何感知生成提升3D重建

Yiming Huang, Baixiang Huang, Beilei Cui, Chi Kit Ng, Long Bai, Hongliang Ren

机构 * The Chinese University of Hong Kong（香港中文大学） 纠错

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；3D reconstruction(title,abstract)；3D vision(abstract)；3DGS(abstract)

AI总结 Leveling3D结合前馈3D重建与几何一致生成，解决传统方法在 extrapolated view 中的缺失区域问题，通过几何感知适配器提升3D重建质量，实现生成与重建的同步优化。

Comments 26 pages, 10 figures

Beyond Darkness: Thermal-Supervised 3D Gaussian Splatting for Low-Light Novel View Synthesis

Qingsen Ma, Chen Zou, Dianyun Wang, Jia Wang, Liuyu Xiang, Zhaofeng He

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） 纠错

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；novel view synthesis(title,abstract)；3DGS(abstract)；3D reconstruction(abstract)

Enhancing Novel View Synthesis from extremely sparse views with SfM-free 3D Gaussian Splatting Framework

Zongqi He, Hanmin Li, Kin-Chung Chan, Yushen Zuo, Hao Xie, Zhe Xiao, Jun Xiao, Kin-Man Lam

机构 * Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University（电子与电气工程系，香港理工大学） ； School of Intelligent Systems Engineering, Sun Yat-sen University（智能系统工程学院，中山大学） 纠错

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；novel view synthesis(title,abstract)；3DGS(abstract)；point cloud(abstract)

Comments 13 pages, 4 figures

Sparse2DGS: Sparse-View Surface Reconstruction using 2D Gaussian Splatting with Dense Point Cloud

Natsuki Takama, Shintaro Ito, Koichi Ito, Hwann-Tzong Chen, Takafumi Aoki

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；point cloud(title,abstract)；3D reconstruction(abstract)；novel view synthesis(abstract)

Comments Accepted to ICIP 2025

A Constrained Optimization Approach for Gaussian Splatting from Coarsely-posed Images and Noisy Lidar Point Clouds

Jizong Peng, Tze Ho Elden Tse, Kai Xu, Wenchao Gao, Angela Yao

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；point cloud(title,abstract)；3DGS(abstract)；3D reconstruction(abstract)

Self-Calibrating 4D Novel View Synthesis from Monocular Videos Using Gaussian Splatting

Fang Li, Hao Zhang, Narendra Ahuja

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；novel view synthesis(title,abstract)；NeRF(abstract)；point cloud(abstract)

Comments GitHub Page: https://github.com/fangli333/SC-4DGS

DroneSplat: 3D Gaussian Splatting for Robust 3D Reconstruction from In-the-Wild Drone Imagery

Jiadong Tang, Yu Gao, Dianyi Yang, Liqi Yan, Yufeng Yue, Yi Yang

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；3D reconstruction(title,abstract)；NeRF(abstract)；3DGS(abstract)

Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis

Rui Peng, Wangze Xu, Luyang Tang, Liwei Liao, Jianbo Jiao, Ronggang Wang

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；novel view synthesis(title,abstract)；NeRF(abstract)；3DGS(abstract)

Comments NeurIPS 2024 Accepted

DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus

Yu Chen, Gim Hee Lee

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；3D reconstruction(title)；NeRF(abstract)；3DGS(abstract)

Comments Accepted to NeurIPS 2024

LP-3DGS: Learning to Prune 3D Gaussian Splatting

Zhaoliang Zhang, Tianchen Song, Yongjae Lee, Li Yang, Cheng Peng, Rama Chellappa, Deliang Fan

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；3DGS(title,abstract)；point cloud(abstract)；novel view synthesis(abstract)

Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction

Qiuhong Shen, Zike Wu, Xuanyu Yi, Pan Zhou, Hanwang Zhang, Shuicheng Yan, Xinchao Wang

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；3D reconstruction(title,abstract)；3DGS(abstract)；point cloud(abstract)

Comments project page: https://florinshen.github.io/gamba-project

RTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian Splatting

Zhexi Peng, Tianjia Shao, Yong Liu, Jingke Zhou, Yin Yang, Jingdong Wang, Kun Zhou

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；3D reconstruction(title,abstract)；NeRF(abstract)；novel view synthesis(abstract)

Comments To be published in ACM SIGGRAPH 2024

Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields

Shijie Zhou, Haoran Chang, Sicheng Jiang, Zhiwen Fan, Zehao Zhu, Dejia Xu, Pradyumna Chari, Suya You, Zhangyang Wang, Achuta Kadambi

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；3DGS(title,abstract)；NeRF(abstract)；novel view synthesis(abstract)

Stipple: Real-Time Incremental Gaussian Splatting with Visual-Inertial Tracking

Stipple：基于视觉-惯性跟踪的实时增量高斯溅射技术

Kilian Northoff, Mateo de Mayo, Daniel Cremers

机构 * Technical University of Munich（慕尼黑工业大学） ； Munich Center for Machine Learning（慕尼黑机器学习中心） 纠错

专题命中 Gaussian Splatting ：3DGS(summary_cn,abstract)；Gaussian Splatting(title,abstract)；3D reconstruction(abstract)；分类 cs.CV、cs.RO

AI总结 本文提出Stipple方法，结合Basalt视觉-惯性跟踪系统与Brush增量3D高斯溅射技术，实现实时同步跟踪重建，替代3DGS繁重步骤，为机器人与XR的实时3D重建提供解决方案。

Mesh2GS: White-Box 3DGS Construction via Plenoptic Sampling

Mesh2GS: 通过全光采样实现白盒3DGS构建

Haoran Zhu, Youcheng Cai, Huangsheng Du, Jingyang Meng, Ligang Liu

机构 * University of Science and Technology of China（中国科学技术大学） 纠错

专题命中 Gaussian Splatting ：3DGS(title,title_cn)；Gaussian Splatting(abstract)；3D reconstruction(abstract)；分类 cs.CV、cs.GR

AI总结 提出Mesh2GS框架，基于全光采样理论从网格几何直接生成3D高斯，实现奈奎斯特级全局光照渲染，并通过反照率-明暗分解和神经照明增强模块处理非朗伯效应。

Comments 16 pages, 7 figures

SplatSuRe: Selective Super-Resolution for Multi-view Consistent 3D Gaussian Splatting

SplatSuRe：多视角一致3D高斯点溅的选择性超分辨率

Pranav Asthana, Alex Hanson, Allen Tu, Tom Goldstein, Matthias Zwicker, Amitabh Varshney

机构 * University of Maryland, College Park（马里兰大学 College Park分校） 纠错

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；NeRF(abstract,abstract_cn)；3DGS(abstract,abstract_cn)；novel view synthesis(abstract)

AI总结 SplatSuRe通过选择性超分辨率技术，在多视角一致的3D高斯点溅中提升渲染质量，通过相机姿态与场景几何关系指导超分辨率内容的添加，提升局部前景细节的清晰度和一致性。

Comments Project Page: https://splatsure.github.io/

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

GS-ROR$^2$: Bidirectional-guided 3DGS and SDF for Reflective Object Relighting and Reconstruction

GS-ROR$^2$: 双向引导的3DGS和SDF用于反射物体重光照与重建

Zuo-Liang Zhu, Beibei Wang, Jian Yang

机构 * VCIP, College of Computer Science, Nankai University（VCIP，计算机科学学院，南开大学） ； School of Intelligence Science and Technology, Nanjing University（智能科学与技术学校，南京大学） 纠错

专题命中 Gaussian Splatting ：3DGS(title,title_cn)；Gaussian Splatting(abstract)；novel view synthesis(abstract)；分类 cs.CV、cs.GR

AI总结 提出一种双向引导框架，通过SDF辅助的高斯溅射优化重光照模型，并利用GS引导的SDF增强实现高质量几何重建，解决反射物体重光照与重建中的几何约束和细节捕捉问题。

Comments Accepted by ACM TOG

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation

3D高斯泼溅应用综述：分割、编辑与生成

Shuting He, Peilin Ji, Yitong Yang, Changshuo Wang, Jiayi Ji, Yinglin Wang, Henghui Ding

机构 * Shanghai University of Finance and Economics（上海财经大学） ； University College London（伦敦大学学院） ； Xiamen University（厦门大学） ； Fudan University（复旦大学） 纠错

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)；3DGS(abstract,abstract_cn)；NeRF(abstract,abstract_cn)；novel view synthesis(abstract)

AI总结 综述3D高斯泼溅在分割、编辑和生成三大任务中的应用，总结代表性方法、监督策略和学习范式，并分析公共基准上的比较结果。

Comments IEEE TPAMI, GitHub Repo: https://github.com/heshuting555/Awesome-3DGS-Applications

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026

ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes

Chenhao Zhang, Yezhi Shen, Fengqing Zhu

机构 * Elmore Family School of Electrical and Computer Engineering（电气与计算机工程学院） ； Purdue University（普渡大学） 纠错

专题命中 Gaussian Splatting ：3DGS(title,abstract)；Gaussian Splatting(title,abstract)；novel view synthesis(abstract)；分类 cs.CV、cs.GR

Comments 6 pages, Source code is available at https://github.com/Chenhao-Z/ICP-3DGS. To appear at ICIP 2025

InstanceSplat: Instance-Aware Feed-Forward 3D Gaussian Splatting for Scene Understanding

InstanceSplat：面向场景理解的实例感知前馈三维高斯溅射

Minchao Jiang, Xiaoxuan Ma, Shunyu Jia, Haoru Wang, Zhang Liang, Wentao Zhu

专题命中 Gaussian Splatting ：3DGS(summary_cn,abstract)；Gaussian Splatting(title,abstract)；3D reconstruction(abstract)；分类 cs.CV

AI总结 InstanceSplat是统一前馈3DGS框架，通过单次前向传播构建联合编码多信息的实例感知高斯表示，以实例为中心的学习策略实现重建与场景理解互益，在多任务上达到SOTA性能与强泛化性。

Comments Project page: https://jamchaos.github.io/InsSplat/