3D 视觉

Flux4D: Flow-based Unsupervised 4D Reconstruction

Flux4D: 基于流的无监督4D重建

Jingkang Wang, Henry Che, Yun Chen, Ze Yang, Lily Goli, Sivabalan Manivasagam, Raquel Urtasun

机构 * Waabi ； University of Toronto（多伦多大学） ； UIUC（伊利诺伊大学香槟分校） 纠错

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

AI总结 Flux4D通过无监督学习直接从原始数据中重建大规模动态场景，无需预训练模型或先验知识，实现高效且可扩展的4D重建。

Comments NeurIPS 2025. Project page: https://waabi.ai/flux4d/

SplatFont3D: Structure-Aware Text-to-3D Artistic Font Generation with Part-Level Style Control

SplatFont3D: 基于结构的文本到3D艺术字体生成与部分级风格控制

Ji Gan, Lingxu Chen, Jiaxu Leng, Xinbo Gao

机构 * Chongqing University of Posts and Telecommunications（重庆邮电大学） ； Xidian University（西安电子科技大学） 纠错

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

AI总结 SplatFont3D通过3D高斯溅射技术实现基于结构的文本到3D艺术字体生成，提供精确的部分级风格控制，提升渲染效率和视觉质量。

Textured Gaussians for Enhanced 3D Scene Appearance Modeling

Brian Chao, Hung-Yu Tseng, Lorenzo Porzi, Chen Gao, Tuotuo Li, Qinbo Li, Ayush Saraf, Jia-Bin Huang, Johannes Kopf, Gordon Wetzstein, Changil Kim

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

Comments Will be presented at CVPR 2025. Project website: https://textured-gaussians.github.io/

UnIRe: Unsupervised Instance Decomposition for Dynamic Urban Scene Reconstruction

Yunxuan Mao, Rong Xiong, Yue Wang, Yiyi Liao

机构 * Zhejiang University（浙江大学） 纠错

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

ActiveGAMER: Active GAussian Mapping through Efficient Rendering

Liyan Chen, Huangying Zhan, Kevin Chen, Xiangyu Xu, Qingan Yan, Changjiang Cai, Yi Xu

机构 * OPPO US Research Center（OPPO美国研究中心） ； Stevens Institute of Technology（史蒂文斯理工学院） 纠错

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

Comments Accepted to CVPR2025. Project page: https://oppo-us-research.github.io/ActiveGAMER-website/. Code: https://github.com/oppo-us-research/ActiveGAMER

UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation

Zhaodong Jiang, Ashish Sinha, Tongtong Cao, Yuan Ren, Bingbing Liu, Binbin Xu

机构 * Huawei Noah’s Ark Lab, Canada（华为诺亚实验室，加拿大） ； University of Toronto, Canada（多伦多大学，加拿大） 纠错

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

Comments Published at the Conference on Robot Learning (CoRL) 2025. For more details please visit https://frankzhaodong.github.io/UnPose

AAA-Gaussians: Anti-Aliased and Artifact-Free 3D Gaussian Rendering

Michael Steiner, Thomas Köhler, Lukas Radl, Felix Windisch, Dieter Schmalstieg, Markus Steinberger

机构 * Graz University of Technology（格拉茨技术大学） ； University of Stuttgart（斯图加特大学） ； Huawei Technologies（华为技术） 纠错

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

StreamME: Simplify 3D Gaussian Avatar within Live Stream

Luchuan Song, Yang Zhou, Zhan Xu, Yi Zhou, Deepali Aneja, Chenliang Xu

机构 * University of Rochester（罗切斯特大学） ； Adobe Research（Adobe研究） 纠错

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

Comments 12 pages, 15 Figures

GigaSLAM: Large-Scale Monocular SLAM with Hierarchical Gaussian Splats

Kai Deng, Yigong Zhang, Jian Yang, Jin Xie

机构 * Nankai University（南开大学） ； Nanjing University Suzhou Campus（南京大学苏州校区） 纠错

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

CityGo: Lightweight Urban Modeling and Rendering with Proxy Buildings and Residual Gaussians

Weihang Liu, Yuhui Zhong, Yuke Li, Xi Chen, Jiadi Cui, Honglong Zhang, Lan Xu, Xin Lou, Yujiao Shi, Jingyi Yu, Yingliang Zhang

机构 * ShanghaiTech University（上海科技大学） ； DGene ； Migu Cultural Technology Co.,Ltd（Migu文化科技有限公司） ； GGU Technology Co., Ltd（GGU技术有限公司） ； Stereye 纠错

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

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

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