3D 视觉

LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian Primitives

Jiadi Cui, Junming Cao, Fuqiang Zhao, Zhipeng He, Yifan Chen, Yuhui Zhong, Lan Xu, Yujiao Shi, Yingliang Zhang, Jingyi Yu

机构 * ShanghaiTech University（上海科技大学） ； Shanghai Advanced Research Institute, Chinese Academy of Sciences（上海先进研究所，中国科学院） ； University of Chinese Academy of Sciences（中国科学院大学） ； NeuDim Digital Technology (Shanghai) Co.,Ltd.（NeuDim数字技术（上海）有限公司） ； DGene Digital Technology Co., Ltd.（DGene数字技术有限公司） 纠错

专题命中 Gaussian Splatting ：Gaussian Splatting(abstract)；3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV、cs.GR

Comments Project Page: https://zhaofuq.github.io/LetsGo/

STDR: Spatio-Temporal Decoupling for Real-Time Dynamic Scene Rendering

Zehao Li, Hao Jiang, Yujun Cai, Jianing Chen, Baolong Bi, Shuqin Gao, Honglong Zhao, Yiwei Wang, Tianlu Mao, Zhaoqi Wang

机构 * Institute of Computing Technology, Chinese Academy of Sciences, ICT（中国科学院计算技术研究所） ； University of Chinese Academy of Sciences, UCAS（中国科学院大学） ； The University of Queensland（昆士兰大学） ； University of California, Merced（加州大学梅尔塞德斯分校） 纠错

专题命中 Gaussian Splatting ：3D vision(abstract)；Gaussian Splatting(abstract)；3DGS(abstract)；分类 cs.CV、cs.GR

RNG: Relightable Neural Gaussians

Jiahui Fan, Fujun Luan, Jian Yang, Miloš Hašan, Beibei Wang

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

Comments Camera-ready version. Proceedings of CVPR 2025

Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving

Junhao Ge, Zuhong Liu, Longteng Fan, Yifan Jiang, Jiaqi Su, Yiming Li, Zhejun Zhang, Siheng Chen

专题命中 Gaussian Splatting ：NeRF(abstract)；Gaussian Splatting(abstract)；3DGS(abstract)；分类 cs.CV、cs.RO

DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation

Jiwook Kim, Seonho Lee, Jaeyo Shin, Jiho Choi, Hyunjung Shim

专题命中 Gaussian Splatting ：NeRF(abstract)；Gaussian Splatting(abstract)；3DGS(abstract)；分类 cs.CV、cs.GR

Comments ICLR 2025

LiftImage3D: Lifting Any Single Image to 3D Gaussians with Video Generation Priors

Yabo Chen, Chen Yang, Jiemin Fang, Xiaopeng Zhang, Lingxi Xie, Wei Shen, Wenrui Dai, Hongkai Xiong, Qi Tian

专题命中 Gaussian Splatting ：Gaussian Splatting(abstract)；3D reconstruction(abstract)；point cloud(abstract)；分类 cs.CV、cs.GR

Comments Project page: https://liftimage3d.github.io/

OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding

Yanmin Wu, Jiarui Meng, Haijie Li, Chenming Wu, Yahao Shi, Xinhua Cheng, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Jian Zhang

专题命中 Gaussian Splatting ：Gaussian Splatting(abstract)；3DGS(abstract)；point cloud(abstract)；分类 cs.CV、cs.RO

Comments NeurIPS2024

GaRField++: Reinforced Gaussian Radiance Fields for Large-Scale 3D Scene Reconstruction

Hanyue Zhang, Zhiliu Yang, Xinhe Zuo, Yuxin Tong, Ying Long, Chen Liu

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

MGFs: Masked Gaussian Fields for Meshing Building based on Multi-View Images

Tengfei Wang, Zongqian Zhan, Rui Xia, Linxia Ji, Xin Wang

专题命中 Gaussian Splatting ：NeRF(abstract)；point cloud(abstract)；novel view synthesis(abstract)；分类 cs.CV、cs.GR

3D Gaussian as a New Era: A Survey

Ben Fei, Jingyi Xu, Rui Zhang, Qingyuan Zhou, Weidong Yang, Ying He

专题命中 Gaussian Splatting ：NeRF(abstract)；Gaussian Splatting(abstract)；novel view synthesis(abstract)；分类 cs.CV、cs.GR

Comments Accepted at IEEE TVCG 2024, Please refer to: https://ieeexplore.ieee.org/document/10521791

NEAT: Distilling 3D Wireframes from Neural Attraction Fields

Nan Xue, Bin Tan, Yuxi Xiao, Liang Dong, Gui-Song Xia, Tianfu Wu, Yujun Shen

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

Comments CVPR 2024

TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering

Linus Franke, Darius Rückert, Laura Fink, Marc Stamminger

专题命中 Gaussian Splatting ：Gaussian Splatting(abstract)；point cloud(abstract)；novel view synthesis(abstract)；分类 cs.CV、cs.GR

CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field

Jiarui Hu, Xianhao Chen, Boyin Feng, Guanglin Li, Liangjing Yang, Hujun Bao, Guofeng Zhang, Zhaopeng Cui

专题命中 Gaussian Splatting ：NeRF(abstract)；Gaussian Splatting(abstract)；novel view synthesis(abstract)；分类 cs.CV、cs.RO

Comments Project Page: https://zju3dv.github.io/cg-slam

HUGS: Human Gaussian Splats

Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan

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

Gaussian-JEPA: Joint-Embedding Predictive Learning for 3D Gaussian Splats

Gaussian-JEPA：面向3D高斯溅射的联合嵌入预测学习

Bin Ren, Qi Ma, Yue Li, Zongyan Han, Yidi Li, Yuqian Fu, Rao Muhammad Anwer, Theo Gevers, Fahad Shahbaz Khan, Salman Khan

专题命中 Gaussian Splatting ：3DGS(abstract,abstract_cn)；Gaussian Splatting(abstract,comments)；分类 cs.CV

AI总结 提出Gaussian-JEPA，通过预测高斯令牌块潜在表示实现自监督学习，在多类任务上优于重构预训练，为3D高斯表示提供有效学习目标

Comments Joint-embedding predictive representation learning for 3D Gaussian Splatting

Faster and Better 3D Splatting via Group Training

更高效且更好的3D点云绘制方法：通过分组训练

Chengbo Wang, Guozheng Ma, Yifei Xue, Yizhen Lao

机构 * Hunan University（湖南大学） ； Nanyang Technological University（南洋理工大学） ； Lushan Innovation Lab（庐山创新实验室） ； Key Laboratory of Digital Culture Smart Design Technology, Minstry of Culture and Tourism（文化与旅游部数字文化智能设计技术重点实验室） 纠错

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

AI总结 本文提出分组训练方法，通过将高斯基本形体分组优化训练效率和渲染质量，实现更高效的3D点云绘制

Comments Accepted to ICCV 2025. Code is available at https://github.com/Chengbo-Wang/3DGS-with-Group-Training

Physics-Integrated Operator Learning via Gaussian Splatting Representations

基于高斯溅射表示的物理集成算子学习

Jihao Zhang, Junyi Guo, Jian-Xun Wang

机构 * Cornell University（康奈尔大学） 纠错

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)

AI总结 本研究提出基于前馈高斯溅射（FFGS）表示的物理集成算子学习框架，在多类PDE系统长时序预测中降低相对ℓ₂误差1.5-2.2倍，提升光谱保真度，对部分已知控制方程具鲁棒性。

GSBF: Gaussian Splatting for Environment-Aware Beamforming

GSBF：面向环境感知波束成形的高斯溅射

Yijie Bian, Wei Guo, Zixin Wang, Shenghui Song, Jun Zhang, Khaled B. Letaief

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)

AI总结 该研究针对传统波束成形依赖瞬时CSI导致开销高的问题，提出GSBF方法，通过3D高斯表示刻画环境，利用Bi-SG核与电磁光栅化合成波束，仿真显示其性能优于EBA且延迟更低。

ProbSplat: Efficient Probabilistic Hardware for Gaussian Splatting in 3D Scene Reconstruction

ProbSplat：面向三维场景重建中高斯溅射的高效概率硬件

Siddarth Gottumukkula, M P Samartha, Vedant Pahariya, Priyanshi Jain, Amit Ranjan Trivedi, Priyesh Shukla

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)

AI总结 本文提出一种存算一体启发的概率硬件ProbSplat，可独立控制高斯混合分量的均值与方差，在三维场景重建中实现低复杂度、低功耗的高斯溅射计算，获21.99dB PSNR的重建保真度，适用于边缘端AR/VR与机器人场景。

Comments Accepted for publication in the 2026 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)

SplatStream: Fine Granular Scalable Gaussian Splatting for Adaptive 3D Scene Streaming

SplatStream：用于自适应3D场景流的细粒度可扩展高斯点云绘制

Muhammad Talha, William Gordon, Sajid Umair, Zhu Li, Anique Akhtar, Joel Jung

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)

AI总结 针对动态3D高斯点云绘制在自适应流方面的挑战，提出SplatStream框架，通过分解场景为质量和分辨率层、引入层间及时间预测编码、基于体不透明度度量分组等方法，实现细粒度自适应低延迟传输。

Comments Accepted in Asilomar Conference on Signals, Systems, and Computers 2026

OctCGS: Octree-Contextual Gaussian Splatting with Explicit Multi-Order Propagation Modeling for Channel Knowledge Map Construction

OctCGS: 基于八叉树上下文的高斯泼溅与显式多阶传播建模的信道知识图谱构建

Jinghan Zhang, Xitao Gong, Qi Wang, Richard A. Stirling-Gallacher, Giuseppe Caire

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)

AI总结 提出OctCGS框架，利用八叉树上下文的高斯泼溅显式建模多跳无线传播的阶数，实现高效的信道知识图谱构建，在信道增益MAE和NMAE上分别提升0.88 dB和0.021。

Comments Submitted to IEEE GLOBECOM 2026

GSpaRC: Gaussian Splatting for Real-time Reconstruction of RF Channels

GSpaRC：高斯点云用于射频信道的实时重建

Bhavya Sai Nukapotula, Rishabh Tripathi, Seth Pregler, Dileep Kalathil, Srinivas Shakkottai, Theodore S. Rappaport

机构 * Texas A&M University（德克萨斯A&M大学） ； New York University（纽约大学） 纠错

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)

AI总结 GSpaRC通过高斯点云技术实现射频信道的高精度实时重建，显著降低训练和推理时间，适用于5G及未来无线系统。

Comments Project website: https://nbhavyasai.github.io/GSpaRC/

Fast undersampled dynamic MRI reconstruction using explicit representation learning with Gaussian splatting

快速动态MRI重建：利用显式表示学习与高斯点溅射

M. L. Terpstra, C. A. T. van den Berg

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)

AI总结 本文提出利用显式表示学习与高斯点溅射方法，实现高效个性化动态MRI重建，可在60秒内训练高斯点并以0.5ms/d的推理时间获得高质量心脏MRI。

Comments Accepted at ISMRM 2026

Structured Image-based Coding for Efficient Gaussian Splatting Compression

基于结构化图像的高效高斯溅射压缩

Pedro Martin, Antonio Rodrigues, Joao Ascenso, Maria Paula Queluz

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)

AI总结 本文提出GSICO，通过结构化图像编码实现高效高斯溅射压缩，达到20.2x压缩率且视觉质量损失小。

Atlas Gaussian processes on restricted domains and point clouds

受限域和点云上的Atlas高斯过程

Mu Niu, Yue Zhang, Ke Ye, Pokman Cheung, Yizhu Wang, Xiaochen Yang

机构 * School of Mathematics and Statistics, University of Glasgow（数学与统计学学院，格拉斯哥大学） ； KLMM, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China（数学与系统科学研究院，中国科学院） 纠错

专题命中 Gaussian Splatting ：point cloud(title,abstract)

AI总结 本文提出了一种改进的Atlas高斯过程，通过结合全局热核与局部RBF核，提升高维点云和受限域中的回归性能和热核估计精度。

6D Channel Knowledge Map Construction via Bidirectional Wireless Gaussian Splatting

Juncong Zhou, Chao Hu, Guanlin Wu, Zixiang Ren, Han Hu, Juyong Zhang, Rui Zhang, Jie Xu

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)

Gaussian splatting holography

Shuhe Zhang, Liangcai Cao

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)

Distributed 3D Gaussian Splatting for High-Resolution Isosurface Visualization

Mengjiao Han, Andres Sewell, Joseph Insley, Janet Knowles, Victor A. Mateevitsi, Michael E. Papka, Steve Petruzza, Silvio Rizzi

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)

Journal ref Super Computing 2025 Research Poster

Toward Distributed 3D Gaussian Splatting for High-Resolution Isosurface Visualization

Mengjiao Han, Andres Sewell, Joseph Insley, Janet Knowles, Victor A. Mateevitsi, Michael E. Papka, Steve Petruzza, Silvio Rizzi

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)

Journal ref IEEE eScience 2025 Poster

Photometric Stereo using Gaussian Splatting and inverse rendering

Matéo Ducastel, David Tschumperlé, Yvain Quéau

专题命中 Gaussian Splatting ：Gaussian Splatting(title,abstract)

Comments in French language. GRETSI 2025, Association GRETSI, Aug 2025, Strasbourg, France